CN109142150B - Method and device for detecting flowability of crude oil - Google Patents
Method and device for detecting flowability of crude oil Download PDFInfo
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- CN109142150B CN109142150B CN201811056698.3A CN201811056698A CN109142150B CN 109142150 B CN109142150 B CN 109142150B CN 201811056698 A CN201811056698 A CN 201811056698A CN 109142150 B CN109142150 B CN 109142150B
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- G01N11/00—Investigating flow properties of materials, e.g. viscosity, plasticity; Analysing materials by determining flow properties
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- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N11/00—Investigating flow properties of materials, e.g. viscosity, plasticity; Analysing materials by determining flow properties
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- G01N2011/0066—Determining flow properties indirectly by measuring other parameters of the system electrical properties
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Abstract
The invention provides a method and a device for detecting the flowability of crude oil, wherein the method comprises the following steps: establishing a crude oil apparent viscosity database according to the corresponding relation between the apparent viscosity and the crude oil temperature of various types of crude oil in a liquid state and the corresponding relation between the proton spin relaxation signal quantity and the crude oil temperature of various types of crude oil, wherein the apparent viscosity database is used for storing the corresponding relation between the apparent viscosity and the proton spin relaxation signal quantity of various types of crude oil; detecting proton spin relaxation signal quantity of target crude oil under different temperature conditions, wherein the target crude oil is in a liquid, solid or colloid state; and determining the apparent viscosity of the target crude oil under different temperature conditions in the crude oil apparent viscosity database according to the proton spin relaxation signal quantity of the target crude oil under different temperature conditions. The invention can effectively improve the convenience and accuracy of the flow detection of the crude oil and realize the nondestructive qualitative/quantitative analysis of the flow of the crude oil.
Description
Technical Field
The invention relates to the technical field of petroleum detection, in particular to a method and a device for detecting the fluidity of crude oil.
Background
The crude oil is a black brown, green and fluorescent viscous oily liquid with special smell, and can be ordinary crude oil, high-solidifying crude oil, thick oil, super thick oil and other types of unprocessed crude oil. In order to more accurately and reliably process the crude oil, the evaluation of the properties of the crude oil before processing becomes an indispensable important step in the petroleum industry, and particularly, the evaluation of the fluidity of the crude oil has important guiding significance for the exploitation, gathering and transportation of the crude oil. Since the fluidity of crude oil is mainly affected by factors such as temperature, added fluidity improver, and viscosity reducer, the method for detecting the fluidity of crude oil is mainly to determine whether the fluidity is good or bad by measuring the apparent viscosity of crude oil, that is, the higher the apparent viscosity of crude oil is, the poorer the fluidity is, and conversely, the lower the apparent viscosity of crude oil is, the better the fluidity is.
In the prior art, the method for measuring the fluidity of crude oil generally adopts a viscometer or a rheometer to measure the apparent viscosity of the crude oil, and the measurement result is more accurate and is widely applied.
However, when the crude oil fluidity is detected by directly using a viscometer or a rheometer to detect the apparent viscosity of crude oil, if the state of some thick oil or super thick oil is close to a solid or colloid state at room temperature or low temperature, the thick oil or super thick oil cannot be uniformly spread on a conical plate of the rotational rheometer, so that the original fluidity test data has a large error, the detection of the crude oil on different instruments also affects the accuracy of the crude oil detection, if the thick oil or super thick oil is subjected to temperature rise treatment, different components in the crude oil are evaporated, the accuracy of the detection result is still affected to a large extent, in addition, the steps need to be executed each time of the crude oil fluidity detection, and the time consumption and the complicated procedures of the detection process are increased.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a crude oil fluidity detection method and a crude oil fluidity detection device, which can effectively improve the convenience and accuracy of crude oil fluidity detection, and further can realize nondestructive qualitative/quantitative analysis on crude oil fluidity.
In order to solve the technical problems, the invention provides the following technical scheme:
in a first aspect, the present invention provides a crude oil fluidity detection method, comprising:
establishing a crude oil apparent viscosity database according to the corresponding relation between the apparent viscosity and the crude oil temperature of various types of crude oil in a liquid state and the corresponding relation between the proton spin relaxation signal quantity and the crude oil temperature of various types of crude oil, wherein the apparent viscosity database is used for storing the corresponding relation between the apparent viscosity and the proton spin relaxation signal quantity of various types of crude oil;
detecting proton spin relaxation signal quantity of target crude oil under different temperature conditions, wherein the target crude oil is in a liquid, solid or colloid state;
and determining the apparent viscosity of the target crude oil under different temperature conditions in the crude oil apparent viscosity database according to the proton spin relaxation signal quantity of the target crude oil under different temperature conditions.
In one embodiment, the establishing a crude oil apparent viscosity database according to a correspondence relationship between the apparent viscosity and the crude oil temperature of each type of crude oil in a liquid state and a correspondence relationship between the proton spin relaxation signal quantity and the crude oil temperature of each type of crude oil, wherein the crude oil apparent viscosity database is used for storing the correspondence relationship between the apparent viscosity and the proton spin relaxation signal quantity of each type of crude oil, and includes:
crude oil detection: detecting a correspondence between an apparent viscosity of a crude oil of a current kind and a temperature of the crude oil when the crude oil is in a liquid state;
detecting the corresponding relation between the proton spin relaxation signal quantity of the crude oil and the temperature of the crude oil;
fitting to obtain a corresponding relation between the apparent viscosity and the proton spin relaxation signal quantity of the crude oil according to the corresponding relation between the apparent viscosity and the crude oil temperature of the crude oil and the corresponding relation between the proton spin relaxation signal quantity and the crude oil temperature of the crude oil;
replacing different types of crude oil, and repeatedly executing the crude oil detection step after each replacement until the corresponding relation between the apparent viscosity and the proton spin relaxation signal quantity of each type of crude oil is obtained;
and storing the corresponding relation between the apparent viscosity and the proton spin relaxation signal quantity of each type of crude oil into the crude oil apparent viscosity database.
In one embodiment, the detecting a correspondence between the apparent viscosity of the crude oil and the temperature of the crude oil comprises:
respectively measuring the apparent viscosity of the crude oil under different first temperature conditions, wherein the first temperature is the temperature of the crude oil in a liquid state;
and acquiring a first curve representing the corresponding relation between the apparent viscosity and the crude oil temperature of the crude oil according to the crude oil temperature and the corresponding apparent viscosity value of the crude oil.
In one embodiment, the detecting the correspondence between the proton spin relaxation semaphore of the crude oil and the temperature of the crude oil comprises:
under the preset magnetic field intensity, applying a CPMG magnetic vibration pulse sequence to respectively measure proton spin relaxation signal quantities of the crude oil under different first temperature conditions;
and acquiring a second curve for representing the corresponding relation between the proton spin relaxation signal quantity of the crude oil and the crude oil temperature according to the crude oil temperature and the corresponding proton spin relaxation signal quantity value of the crude oil.
In one embodiment, the fitting the correspondence between the apparent viscosity and the proton spin relaxation signal quantity of the crude oil according to the correspondence between the apparent viscosity and the crude oil temperature of the crude oil and the correspondence between the proton spin relaxation signal quantity and the crude oil temperature of the crude oil includes:
and fitting the first curve and the second curve based on each first temperature to obtain a third curve for representing the corresponding relation between the apparent viscosity of the crude oil and the proton spin relaxation signal quantity, and a binary equation corresponding to the third curve, wherein the second curve is used as a fit of the relation between the apparent viscosity of the crude oil and the proton spin relaxation signal quantity.
In one embodiment, the detecting proton spin relaxation semaphore of target crude oil under different temperature conditions comprises:
under the preset magnetic field intensity, a CPMG magnetic vibration pulse sequence is applied to respectively measure the proton spin relaxation signal quantity of the target crude oil under different second temperature conditions, wherein the second temperature is the temperature of the target crude oil in a liquid, solid or colloid state.
In one embodiment, the determining the apparent viscosity of the target crude oil at different temperature conditions in the crude oil apparent viscosity database according to the proton spin relaxation signal quantity of the target crude oil at different temperature conditions comprises:
determining the corresponding relation between the apparent viscosity of the target crude oil and the proton spin relaxation signal quantity in the crude oil apparent viscosity database according to the type of the target crude oil;
and substituting the proton spin relaxation signal quantity of the target crude oil under different temperature conditions into a relational fit between the apparent viscosity of the crude oil and the proton spin relaxation signal quantity to obtain the apparent viscosity of the target crude oil under different temperature conditions.
In one embodiment, the crude oil comprises a paramagnetic substance, and the paramagnetic substance affects a proton spin relaxation signal of the crude oil by less than 1%.
In one embodiment, the predetermined magnetic field strength is 0.05T to 1.5T.
In one embodiment, the crude oil has an apparent viscosity ranging from 1mPa s to 10 mPa s9mPa·s。
In one embodiment, the first temperature is measured in a range of 20 ℃ to 100 ℃.
In one embodiment, the second temperature is measured in a range of-80 ℃ to 100 ℃.
In a second aspect, the present invention provides a crude oil fluidity detection apparatus, including:
the system comprises an apparent viscosity and proton spin relaxation semaphore relationship determining module, a proton spin relaxation semaphore determining module and a data processing module, wherein the apparent viscosity and proton spin relaxation semaphore relationship determining module is used for establishing a crude oil apparent viscosity database according to the corresponding relationship between the apparent viscosity and the crude oil temperature of various types of crude oil in a liquid state and the corresponding relationship between the proton spin relaxation semaphore of various types of crude oil and the crude oil temperature, and the apparent viscosity database is used for storing the corresponding relationship between the apparent viscosity and the proton spin relaxation semaphore of various types of crude oil;
the solid crude oil proton spin relaxation semaphore measurement module is used for detecting the proton spin relaxation semaphore of target crude oil under different temperature conditions, wherein the target crude oil is in a liquid, solid or colloid state;
and the crude oil fluidity determining module is used for determining the apparent viscosity of the target crude oil under different temperature conditions in the crude oil apparent viscosity database according to the proton spin relaxation signal quantity of the target crude oil under different temperature conditions.
In one embodiment, the apparent viscosity versus proton spin relaxation semaphore determination module comprises:
a crude oil detection sub-module for performing a crude oil detection step, and the crude oil detection sub-module comprises: the device comprises an apparent viscosity and crude oil temperature relation determining unit, a proton spin relaxation signal quantity and crude oil temperature relation determining unit and an apparent viscosity and proton spin relaxation signal quantity relation acquiring unit;
the unit for determining the relationship between the apparent viscosity and the crude oil temperature is used for detecting the corresponding relationship between the apparent viscosity and the crude oil temperature of the crude oil when the crude oil of the current type is in a liquid state;
the proton spin relaxation semaphore and crude oil temperature relation determining unit is used for detecting the corresponding relation between the proton spin relaxation semaphore of the crude oil and the crude oil temperature;
the unit for obtaining the relationship between the apparent viscosity and the proton spin relaxation signal quantity is used for fitting to obtain the relationship between the apparent viscosity and the proton spin relaxation signal quantity of the crude oil according to the relationship between the apparent viscosity and the crude oil temperature of the crude oil and the relationship between the proton spin relaxation signal quantity and the crude oil temperature of the crude oil;
the crude oil replacing submodule is used for replacing different types of crude oil, and controls the crude oil detecting submodule to repeatedly execute the crude oil detecting step after each replacement until the corresponding relation between the apparent viscosity and the proton spin relaxation signal quantity of each type of crude oil is obtained;
and the data storage submodule is used for storing the corresponding relation between the apparent viscosity and the proton spin relaxation signal quantity of various types of crude oil into the crude oil apparent viscosity database.
In one embodiment, the apparent viscosity versus crude oil temperature determination unit includes:
the apparent viscosity measurement sub-unit under the first temperature condition is used for respectively measuring the apparent viscosity of the crude oil under different first temperature conditions, wherein the first temperature is the temperature for leading the crude oil to be in a liquid state;
and the first curve acquisition subunit is used for acquiring a first curve for representing the corresponding relation between the apparent viscosity and the crude oil temperature of the crude oil according to the crude oil temperature and the corresponding apparent viscosity value of the crude oil.
In one embodiment, the unit for determining the relationship between proton spin relaxation semaphore and crude oil temperature comprises:
the proton spin relaxation signal measurement quantum unit under the first temperature condition is used for applying a CPMG magnetic vibration pulse sequence under the preset magnetic field strength to respectively measure the proton spin relaxation signal quantity of the crude oil under different first temperature conditions;
and the second curve acquisition subunit is used for acquiring a second curve for representing the corresponding relation between the proton spin relaxation signal quantity of the crude oil and the crude oil temperature according to the crude oil temperature and the corresponding proton spin relaxation signal quantity value of the crude oil.
In one embodiment, the unit for obtaining the relationship between apparent viscosity and proton spin relaxation semaphore comprises:
and the relation fitting obtaining subunit is configured to fit the first curve and the second curve based on each of the first temperatures to obtain a third curve representing a correspondence between the apparent viscosity of the crude oil and the proton spin relaxation signal amount, and a binary equation corresponding to the third curve, which is used as a relation fitting formula between the apparent viscosity of the crude oil and the proton spin relaxation signal amount.
In one embodiment, the solid-state crude oil proton spin relaxation semaphore measurement module comprises:
and the proton spin relaxation signal quantity measuring unit under the second temperature condition is used for respectively measuring the proton spin relaxation signal quantity of the target crude oil under different second temperature conditions by applying a CPMG magnetic vibration pulse sequence under the preset magnetic field strength, wherein the second temperature is the temperature of the crude oil in a liquid, solid or colloid state.
In one embodiment, the crude oil fluidity determination module includes:
a data calling unit, which is used for determining the corresponding relation between the apparent viscosity of the target crude oil and the proton spin relaxation signal quantity in the crude oil apparent viscosity database according to the type of the target crude oil;
and the apparent viscosity acquisition unit is used for substituting the proton spin relaxation signal quantity of the target crude oil under different temperature conditions into a relational fit between the apparent viscosity and the proton spin relaxation signal quantity of the crude oil to obtain the apparent viscosity of the target crude oil under different temperature conditions.
In one embodiment, the crude oil comprises a paramagnetic substance, and the paramagnetic substance affects a proton spin relaxation signal of the crude oil by less than 1%.
In one embodiment, the predetermined magnetic field strength is 0.05T to 1.5T.
In one embodiment, the crude oil has an apparent viscosity ranging from 1mPa s to 10 mPa s9mPa·s。
In one embodiment, the first temperature is measured in a range of 20 ℃ to 100 ℃.
In one embodiment, the second temperature is measured in a range of-80 ℃ to 100 ℃.
In a third aspect, the present invention provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor executes the computer program to implement a crude oil fluidity detection method, including:
establishing a crude oil apparent viscosity database according to the corresponding relation between the apparent viscosity and the crude oil temperature of various types of crude oil in a liquid state and the corresponding relation between the proton spin relaxation signal quantity and the crude oil temperature of various types of crude oil, wherein the apparent viscosity database is used for storing the corresponding relation between the apparent viscosity and the proton spin relaxation signal quantity of various types of crude oil;
detecting proton spin relaxation signal quantity of target crude oil under different temperature conditions, wherein the target crude oil is in a liquid, solid or colloid state;
and determining the apparent viscosity of the target crude oil under different temperature conditions in the crude oil apparent viscosity database according to the proton spin relaxation signal quantity of the target crude oil under different temperature conditions.
In a fourth aspect, the present invention provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of a crude oil fluidity detection method, including:
establishing a crude oil apparent viscosity database according to the corresponding relation between the apparent viscosity and the crude oil temperature of various types of crude oil in a liquid state and the corresponding relation between the proton spin relaxation signal quantity and the crude oil temperature of various types of crude oil, wherein the apparent viscosity database is used for storing the corresponding relation between the apparent viscosity and the proton spin relaxation signal quantity of various types of crude oil;
detecting proton spin relaxation signal quantity of target crude oil under different temperature conditions, wherein the target crude oil is in a liquid, solid or colloid state;
and determining the apparent viscosity of the target crude oil under different temperature conditions in the crude oil apparent viscosity database according to the proton spin relaxation signal quantity of the target crude oil under different temperature conditions.
In a fifth aspect, the present invention provides a crude oil fluidity detection system, comprising: the device comprises a crude oil fluidity detection device, a rotational rheometer, a low-field nuclear magnetic resonance analyzer and a low-temperature thermostatic bath, wherein the rotational rheometer, the low-field nuclear magnetic resonance analyzer and the low-temperature thermostatic bath are respectively in communication connection with the crude oil fluidity detection device;
the rotational rheometer is used for measuring the apparent viscosity of the crude oil under different temperature conditions;
the low-field nuclear magnetic resonance analyzer is used for detecting proton spin relaxation semaphore of the crude oil under different temperature conditions;
the low-temperature constant-temperature tank is used for controlling the temperature of the crude oil;
the crude oil fluidity detection device is used for detecting the apparent viscosity of each type of crude oil under different temperature conditions measured by the rotational rheometer and the proton spin relaxation signal quantity of each type of crude oil under different temperature conditions detected by the low-field nuclear magnetic resonance analyzer, and establishing a crude oil apparent viscosity database according to the corresponding relation between the apparent viscosity of each type of crude oil in a liquid state and the crude oil temperature and the corresponding relation between the proton spin relaxation signal quantity of each type of crude oil and the crude oil temperature, wherein the apparent viscosity database is used for storing the corresponding relation between the apparent viscosity of each type of crude oil and the proton spin relaxation signal quantity; and also used for determining the proton spin relaxation signal quantity of the target crude oil under different temperature conditions, and determining the apparent viscosity of the target crude oil under different temperature conditions in the crude oil apparent viscosity database.
According to the technical scheme, the invention provides a crude oil fluidity detection method, a crude oil fluidity detection device, electronic equipment, a storage medium and a crude oil fluidity detection system, wherein the crude oil fluidity detection method establishes a crude oil apparent viscosity database according to the corresponding relation between the apparent viscosity and the crude oil temperature of various types of crude oil in a liquid state and the corresponding relation between the proton spin relaxation signal quantity and the crude oil temperature of various types of crude oil, the apparent viscosity database is used for storing the corresponding relation between the apparent viscosity and the proton spin relaxation signal quantity of various types of crude oil, the fluidity judgment basis of various types of crude oil can be obtained in advance, the accuracy of the judgment basis can be ensured, and then the proton spin relaxation signal quantity of target crude oil under different temperature conditions is detected, wherein the target crude oil is in a liquid state, and is in a liquid state, The solid or colloid state can realize non-contact nondestructive detection aiming at the fluidity of a certain type of crude oil, and then the apparent viscosity of the target crude oil under different temperature conditions can be effectively and quickly determined by determining the apparent viscosity of the target crude oil in the crude oil apparent viscosity database according to the proton spin relaxation signal quantity of the target crude oil under different temperature conditions, so that the fluidity of the crude oil can be further determined through a plurality of apparent viscosity values, the accuracy of the detection of the fluidity of the crude oil is effectively improved, and the nondestructive, on-line qualitative/quantitative analysis of the fluidity of the crude oil is realized.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a schematic configuration diagram of a crude oil fluidity detection device according to an embodiment of the present invention.
Fig. 2 is a schematic diagram of a crude oil fluidity detection system according to an embodiment of the present invention.
Fig. 3 is a schematic view of an interaction architecture between a server device and a client device according to an embodiment of the present invention.
Fig. 4 is a schematic flow chart of a crude oil fluidity detection method in an embodiment of the present invention.
Fig. 5 is a schematic flow chart of step 100 in the crude oil fluidity detection method according to the embodiment of the present invention.
Fig. 6 is a schematic flow chart of step 101 in the crude oil fluidity detection method according to the embodiment of the present invention.
Fig. 7 is a schematic flow chart of step 102 in the crude oil fluidity detection method according to the embodiment of the present invention.
Fig. 8 is a schematic flow chart of step 300 in the crude oil fluidity detection method according to the embodiment of the present invention.
Fig. 9 is a schematic flow chart of the crude oil fluidity detection device in the embodiment of the present invention.
Fig. 10 is a schematic structural diagram of a module 10 for determining a relationship between apparent viscosity and proton spin relaxation signal amount in a crude oil fluidity detection apparatus according to an embodiment of the present invention.
Fig. 11 is a schematic structural diagram of a relationship determination unit 11 between apparent viscosity and crude oil temperature in the crude oil fluidity detection apparatus according to the embodiment of the present invention.
Fig. 12 is a schematic structural diagram of the relationship determination unit 12 between the proton spin relaxation signal amount and the crude oil temperature in the crude oil fluidity detection apparatus according to the embodiment of the present invention.
Fig. 13 is a schematic structural diagram of the crude oil fluidity determination module 30 in the crude oil fluidity detection apparatus according to the embodiment of the present invention.
Fig. 14 is a schematic structural diagram of an electronic device in an embodiment of the invention.
FIG. 15 is a graph showing a first curve corresponding to Venezuela super thick oil in an example of application of the present invention.
FIG. 16 is a graph showing a second curve corresponding to Venezuela super thick oil in an example of application of the present invention.
FIG. 17 is a graph showing a third curve corresponding to Venezuela super thick oil in an example of application of the present invention.
FIG. 18 shows a section of Xinjiang Jiu in an example of application of the present invention7Schematic representation of a first curve corresponding to zone super heavy oil.
FIG. 19 shows a section of Xinjiang Jiu in an example of application of the present invention7And a second curve corresponding to the zone super heavy oil.
FIG. 20 shows a section of Xinjiang Jiu in an example of application of the present invention7And a third curve corresponding to the zone super heavy oil.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Because the mode of measuring crude oil fluidity among the prior art directly adopts viscosimeter or rheometer to survey the apparent viscosity of crude oil directly generally for when crude oil is in solid or colloidal state, can't guarantee this crude oil fluidity and detect convenience and accuracy. Therefore, the embodiment of the present invention provides a crude oil fluidity detection method, which can determine a corresponding relationship between the apparent viscosity and the proton spin relaxation signal amount of each type of crude oil when each type of crude oil is in a liquid state, can obtain a fluidity determination basis of each type of crude oil in advance, and can ensure the accuracy of the determination basis, and then can realize non-contact nondestructive detection on the fluidity of the crude oil by detecting the proton spin relaxation signal amount of the target crude oil in a liquid, solid or colloid state under different temperature conditions, and then can determine the apparent viscosity of a certain type of crude oil under different temperature conditions in an effective and rapid non-contact manner by determining the apparent viscosity of the target crude oil in the crude oil apparent viscosity database according to the proton spin relaxation signal amount of the target crude oil under different temperature conditions, and further, the fluidity of the crude oil can be determined through the plurality of apparent viscosity values, so that the accuracy of the detection of the fluidity of the crude oil is effectively improved, and the nondestructive and online qualitative/quantitative analysis of the fluidity of the crude oil is realized.
It is understood that the crude oil is classified according to its composition, and the crude oil is present in various production areas and different stratums. For example, the crude oil samples obtained from different crude oil samples have different contents of carbon, hydrogen, or other impurities, and the crude oil samples are classified into different types. The impurities are generally sulfur, nitrogen, oxygen, metals, etc.
In an application scenario, the crude oil fluidity detection method is implemented by using a crude oil fluidity detection device, which may be a server-side device a 1.
In practical applications, referring to fig. 1, the portion for performing the crude oil fluidity detection may be performed at a server side, and the server side apparatus a1 is respectively connected in communication with the rotational rheometer a2, the low-field nuclear magnetic resonance analyzer A3 and the cryostat a4, where the server side apparatus a1 acquires corresponding data for detection from the rotational rheometer a2, the low-field nuclear magnetic resonance analyzer 13 and the cryostat a4, for example, the server side apparatus a1 controls the rotational rheometer a2 to measure the apparent viscosities of various types of crude oil under different temperature conditions and receive the apparent viscosities of various types of crude oil under different temperature conditions; the server-side equipment A1 controls a low-field nuclear magnetic resonance analyzer A3 to detect proton spin relaxation semaphore of each type of crude oil under different temperature conditions, and receives the proton spin relaxation semaphore of each type of crude oil under different temperature conditions; the server-side equipment a1 controls a cryostat a4 to change the temperature of each type of crude oil, and then the server-side equipment a1 determines the corresponding relationship between the apparent viscosity and the proton spin relaxation signal quantity of each type of crude oil according to the apparent viscosity of each type of crude oil at different temperature conditions measured by the rotational rheometer a2 and the proton spin relaxation signal quantity of each type of crude oil at different temperature conditions detected by the low-field nuclear magnetic resonance analyzer A3; and the method is also used for determining the apparent viscosity of the target crude oil under different temperature conditions in the crude oil apparent viscosity database according to the proton spin relaxation signal quantity of the target crude oil under different temperature conditions, wherein the target crude oil can be in a liquid, solid or colloid state and the like.
In one example, the rotational rheometer A2 can be a rotational rheometer model RS600 manufactured by HAKKE, Germany, the low-field NMR analyzer A3 can be a low-field NMR analyzer model MeOMR 23-060H-HTHP manufactured by Nippon Nymi technologies, Inc. and has a magnetic field strength of 0.48T, and the cryostat A4 can be a cryostat model DC-5010 manufactured by Ningbo Cornish instruments, Inc. In addition, the types and the connection relations of the rotational rheometer a2, the low-field nmr analyzer A3, and the cryostat a4 are only examples, and in practical applications, the low-field nmr analyzer A3 and the cryostat a4 may be an integrated device capable of implementing the functions of the two, and the integrated device is also in communication connection with the server-side equipment a 1.
In addition, the server-side equipment a1, the rotational rheometer a2, the low-field nmr analyzer A3 and the cryostat a4 also form a basic architecture of a crude oil fluidity detection system, and based on the basic architecture, a fluidity detection experiment of target crude oil can be completed in a laboratory, see fig. 2. Of course, the experimental system may further include other devices, such as a temperature sensor, and the like, and the selection may be specifically performed according to the detection requirement, the processing capability of each existing device, the limitation of the user usage scenario, and the like. For example, the user may perform the flow detection of the crude oil on-line or off-line. This is not a limitation of the present application.
The server-side device a1 may also communicate with a client-side device a5, see fig. 3, where the client-side device a5 may be a mobile phone, a tablet, a wearable device, a desktop computer, a kiosk, etc., or an APP for performing crude oil fluidity detection, and the specific form of the client-side device a5 is not limited in this application.
In order to make the process of detecting the fluidity of crude oil more flexible, the user side device a5 may provide different information input interfaces for the inspector to select. For example: the visual selection interface can be provided for the detection personnel, and the editing input interface can also be provided for the detection personnel. After the software with the editing function is opened, a detector can set the testing ranges of the preset magnetic field intensity and the apparent viscosity and the testing range of the testing temperature according to the actual experiment requirements.
In one or more embodiments of the present application, the corresponding relationship between the apparent viscosities of various types of crude oils and the proton spin relaxation signal amount may be predetermined, and the corresponding relationship between the apparent viscosities of the crude oils and the proton spin relaxation signal amount may be stored in the corresponding relationship with the types of crude oils, when a certain type of crude oil needs to be detected, only the corresponding relationship between the apparent viscosities of the crude oils and the proton spin relaxation signal amount needs to be directly extracted, as shown in table 1, if the type of crude oil to be detected is B3, the corresponding relationship C3 between the apparent viscosity of the crude oil B3 and the proton spin relaxation signal amount corresponding to the crude oil B3 is retrieved from a pre-stored crude oil apparent viscosity database, if the type of crude oil to be detected is B5, and the crude oil type is found in the crude oil apparent viscosity database, when the crude oil B5 is in a liquid state, and determining the corresponding relation between the apparent viscosity of the crude oil B5 and the proton spin relaxation signal quantity, and storing the crude oil B5 in the crude oil apparent viscosity database. Wherein the crude oil apparent viscosity database can be a distributed database.
TABLE 1
In order to obtain the result of detecting the flowing property of the crude oil more accurately and reliably, the crude oil flowing property detecting process can be specifically realized by the crude oil flowing property detecting device or system, although the present application provides the method operation steps or device structure as shown in the following embodiments or figures, more or less operation steps or module units after being partially combined can be included in the method or device based on the conventional or non-inventive labor. In the case of steps or structures which do not logically have the necessary cause and effect relationship, the execution sequence of the steps or the module structure of the apparatus is not limited to the execution sequence or the module structure shown in the embodiment or the drawings of the present application. When the described method or module structure is applied to a device, a server or an end product in practice, the method or module structure according to the embodiment or the figures may be executed sequentially or in parallel (for example, in a parallel processor or multi-thread processing environment, or even in an implementation environment including distributed processing and server clustering).
In order to effectively improve the accuracy of the crude oil fluidity detection and further to enable non-destructive qualitative/quantitative analysis of the crude oil fluidity, the present invention will be described with reference to the following specific embodiments of the crude oil fluidity detection method, based on the crude oil fluidity detection apparatus or system.
The embodiment of the present invention provides a specific implementation manner of a crude oil fluidity detection method, and referring to fig. 4, the spin relaxation crude oil fluidity detection method specifically includes the following steps:
step 100: establishing a crude oil apparent viscosity database according to the corresponding relation between the apparent viscosity and the crude oil temperature of various types of crude oil in a liquid state and the corresponding relation between the proton spin relaxation signal quantity and the crude oil temperature of various types of crude oil, wherein the apparent viscosity database is used for storing the corresponding relation between the apparent viscosity and the proton spin relaxation signal quantity of various types of crude oil.
It is understood that the crude oil contains a paramagnetic species, and that the paramagnetic species affects the proton spin relaxation signal of the crude oil by less than 1%.
In step 100, the spin-relaxed crude oil fluidity detection apparatus or system determines a correspondence relationship between the apparent viscosity and the proton spin relaxation signal quantity of each type of crude oil according to the apparent viscosity of each type of crude oil at different temperature conditions measured by the rotational rheometer and the proton spin relaxation signal quantity of each type of crude oil at different temperature conditions examined by the low-field nuclear magnetic resonance analyzer.
It is understood that the apparent viscosity refers to the quotient of the corresponding shear stress divided by the shear rate at a certain velocity gradient. The apparent viscosity may be greater than the true viscosity or less than the true viscosity, which is a relative rough comparison of how good the flowability is. All absorption spectra have their commonalities. When the energy of the electromagnetic radiation is equal to a certain energy level difference of the sample molecules, the sample can absorb the electromagnetic radiation and transition from a low energy level to a high energy level. Similarly, the sample molecules can return from the high energy level to the low energy level under the action of the electromagnetic radiation of the frequency, and the electromagnetic radiation of the frequency is emitted. This process of nuclear return from a high-energy state to a low-energy state by radiationless energy release is called relaxation (relaxation), and the process of transferring energy from the nuclear spin system in the high-energy state to the adjacent magnetic nuclei of the same type in the low-energy state is called spin-spin relaxation, also called transverse relaxation (transversion relaxation). The process is only the energy exchange of the spin state of the same type of magnetic nuclear, and does not cause the change of the total nuclear magnetic energy.
Step 200: detecting proton spin relaxation signal quantity of target crude oil under different temperature conditions, wherein the target crude oil is in a liquid, solid or colloid state.
In step 200, the spin-relaxed crude oil fluidity detection apparatus or system controls the low-field nmr analyzer to detect proton spin relaxation signals of the target crude oil in a liquid, solid, or colloidal state under different temperature conditions. Specifically, the target crude oil to be measured can be placed in the magnetic field coil, and the center frequency O1, 900 pulse width (P1) and 1800 pulse width (P2) can be automatically found.
Step 300: and determining the apparent viscosity of the target crude oil under different temperature conditions in the crude oil apparent viscosity database according to the proton spin relaxation signal quantity of the target crude oil under different temperature conditions.
In step 300, the spin-relaxed crude oil fluidity detection apparatus or system determines the apparent viscosity of the target crude oil under different temperature conditions according to the correspondence between the apparent viscosity and the proton spin relaxation signal amount of the target crude oil under different temperature conditions in a liquid, solid or colloidal state.
From the above description, it can be seen that the examples of the present invention utilize the hydrogen protons contained in the crude oil system: (1H) According to the basic principle that the fluidity is better, the proton spin relaxation signal quantity is stronger, and the transverse relaxation time T2 is longer, the corresponding relation between the proton spin relaxation signal quantity of the crude oil and the apparent viscosity of the crude oil is established under the condition of not directly contacting a crude oil system, and the online nondestructive analysis of the fluidity of the crude oil is realized.
In one embodiment, referring to fig. 5, step 100 of the crude oil fluidity detection method of the present invention specifically includes the following steps:
crude oil detection step B01: specifically, the method comprises steps 101 to 103.
Step 101: detecting a correspondence between an apparent viscosity of the crude oil and a temperature of the crude oil when the target crude oil is in a liquid state.
Step 102: and detecting the corresponding relation between the proton spin relaxation signal quantity of the crude oil and the temperature of the crude oil.
Step 103: and fitting to obtain the corresponding relation between the apparent viscosity and the proton spin relaxation signal quantity of the crude oil according to the corresponding relation between the apparent viscosity and the crude oil temperature of the crude oil and the corresponding relation between the proton spin relaxation signal quantity and the crude oil temperature of the crude oil.
Step B02: and replacing different types of crude oil, and repeatedly executing the crude oil detection step B01 after each replacement until the corresponding relation between the apparent viscosity and the proton spin relaxation signal quantity of each type of crude oil is obtained.
Step B03: and storing the corresponding relation between the apparent viscosity of each type of crude oil and the proton spin relaxation semaphore into a crude oil apparent viscosity database.
Referring to fig. 6, the step 101 specifically includes the following steps:
step 101 a: the apparent viscosities of the crude oils under different first temperature conditions are respectively measured, wherein the first temperature is a temperature at which the crude oils are in a liquid state.
It will be appreciated that the first temperature is measured in the range 20 ℃ to 100 ℃ so that the crude oil is at a temperature in the liquid state. For example, the apparent viscosities of crude oils at 20 ℃, 30 ℃, 40 ℃, 50 ℃, 60 ℃, 70 ℃, 80 ℃ and 90 ℃ are measured, respectively.
Step 101 b: and acquiring a first curve for representing the corresponding relation between the apparent viscosity and the crude oil temperature of the crude oil according to the crude oil temperature and the corresponding apparent viscosity value of the crude oil.
It is understood that the crude oil fluidity detection device or system can mark the apparent viscosity points of the crude oil under different first temperature conditions by taking the crude oil temperature as an abscissa and the apparent viscosity as an ordinate, and then fit and connect the apparent viscosity points to obtain the first curve. Meanwhile, a binary formula between the apparent viscosity and the temperature can be established according to each apparent viscosity point. In practical applications, the apparent viscosity is non-linear with temperature, and decreases as the temperature of the crude increases.
Referring to fig. 7, the step 102 specifically includes the following steps:
step 102 a: and under the preset magnetic field intensity, applying a CPMG magnetic vibration pulse sequence to respectively measure proton spin relaxation signal quantities of the crude oil under different first temperature conditions.
It is understood that the preset magnetic field strength ranges between 0.05T and 1.5T, and is optimally between 0.1T and 1.0T.
Step 102 b: and acquiring a second curve for representing the corresponding relation between the proton spin relaxation signal quantity of the crude oil and the crude oil temperature according to the crude oil temperature and the proton spin relaxation signal quantity value corresponding to the crude oil temperature.
It is understood that the crude oil fluidity detection device or system may mark the proton spin relaxation semaphore points of the crude oil under different first temperature conditions with the crude oil temperature as the abscissa and the proton spin relaxation semaphore as the ordinate, and then fit and connect each of the proton spin relaxation semaphore points to obtain the second curve. Meanwhile, a binary formula between the proton spin relaxation semaphore and the temperature can be established according to each proton spin relaxation semaphore point. In practical application, the proton spin relaxation signal quantity has a linear relation with temperature, and the proton spin relaxation signal quantity increases along with the increase of the temperature of the crude oil.
Wherein, the step 103 specifically comprises the following steps:
step 103 a: and fitting the first curve and the second curve based on each first temperature to obtain a third curve for representing the corresponding relation between the apparent viscosity of the crude oil and the proton spin relaxation signal quantity, and a binary equation corresponding to the third curve, wherein the second curve is used as a fit of the relation between the apparent viscosity of the crude oil and the proton spin relaxation signal quantity.
In step 103a, fitting the first curve and the second curve may specifically apply Origin or Excel to fit the first curve and the second curve. For example, curve fitting by using Excel can be realized by adding smooth curve, linear, exponential, power, polynomial (such as quadratic curve, cubic curve) and logarithmic fitting.
Similar to step 102a, step 200 in the crude oil fluidity detection method of the present invention specifically includes the following steps:
step 201: under the preset magnetic field intensity, a CPMG magnetic vibration pulse sequence is applied to respectively measure the proton spin relaxation signal quantity of the target crude oil under different second temperature conditions, wherein the second temperature is the temperature of the target crude oil in a liquid, solid or colloid state.
It is understood that the second temperature is measured in the range of-80 ℃ to 100 ℃ such that the target crude oil is in a liquid, solid or colloidal state, and for example, proton spin relaxation signals of the target crude oil at 90 ℃, 80 ℃, 70 ℃, 60 ℃, 50 ℃, 40 ℃, 30 ℃, 20 ℃, 10 ℃, 0 ℃ and-10 ℃ may be measured, respectively.
In order to further improve the detection efficiency and accuracy of the crude oil fluidity detection, referring to fig. 8, step 300 in the crude oil fluidity detection method of the present invention specifically includes the following steps:
step 301: and determining the corresponding relation between the apparent viscosity of the target crude oil and the proton spin relaxation signal quantity in the crude oil apparent viscosity database according to the type of the target crude oil.
Step 302: and substituting the proton spin relaxation signal quantity of the target crude oil under different temperature conditions into a relational fit between the apparent viscosity of the crude oil and the proton spin relaxation signal quantity to obtain the apparent viscosity of the target crude oil under different temperature conditions.
As can be seen from the above description, the crude oil fluidity detection method in the embodiment of the present invention can obtain the fluidity determination basis of each type of crude oil in advance and can ensure the accuracy of the determination basis by determining the corresponding relationship between the apparent viscosity of the crude oil and the proton spin relaxation signal amount when the crude oil is in the liquid state, and then can realize non-contact nondestructive detection on the fluidity of the crude oil by detecting the proton spin relaxation signal amount of the crude oil in the liquid, solid, or colloidal state under different temperature conditions, and then determine the apparent viscosity of the crude oil in the liquid, solid, or colloidal state under different temperature conditions by determining the proton spin relaxation signal amount of the crude oil in the liquid, solid, or colloidal state under different temperature conditions according to the corresponding relationship between the apparent viscosity of the crude oil and the proton spin relaxation signal amount, the apparent viscosity of crude oil under different temperature conditions can be effectively and quickly determined, and further the fluidity of the crude oil can be determined through the plurality of apparent viscosity values, so that the accuracy of the fluidity detection of the crude oil is effectively improved, and the nondestructive and online qualitative/quantitative analysis on the fluidity of the crude oil is realized.
In order to realize online qualitative/quantitative analysis of crude oil, the present invention further provides a crude oil fluidity detection apparatus capable of realizing the whole content of the crude oil fluidity detection method, and referring to fig. 9, the crude oil fluidity detection apparatus specifically includes the following contents:
the determination module 10 for determining the relationship between the apparent viscosity and the proton spin relaxation semaphore is used for establishing a crude oil apparent viscosity database according to the corresponding relationship between the apparent viscosity and the crude oil temperature of various types of crude oil in a liquid state and the corresponding relationship between the proton spin relaxation semaphore of various types of crude oil and the crude oil temperature, wherein the apparent viscosity database is used for storing the corresponding relationship between the apparent viscosity and the proton spin relaxation semaphore of various types of crude oil.
And the solid crude oil proton spin relaxation semaphore measurement module 20 is used for detecting the proton spin relaxation semaphore of the target crude oil under different temperature conditions, wherein the target crude oil is in a liquid, solid or colloidal state.
A crude oil fluidity determining module 30, configured to determine, in the crude oil apparent viscosity database, the apparent viscosity of the target crude oil at different temperature conditions according to the proton spin relaxation signal quantity of the target crude oil at different temperature conditions.
The embodiment of the crude oil fluidity detecting apparatus provided in the present application can be specifically used for executing the processing flow of the embodiment of the crude oil fluidity detecting method in the above embodiment, and the functions thereof are not described herein again, and reference can be made to the detailed description of the embodiment of the above method.
As can be seen from the above description, the crude oil fluidity detection apparatus in the embodiment of the present invention can obtain the fluidity determination basis of each type of crude oil in advance and ensure the accuracy of the determination basis by determining the corresponding relationship between the apparent viscosity and the proton spin relaxation signal amount of each type of crude oil when each type of crude oil is in the liquid state, and then can realize non-contact type nondestructive detection on the fluidity of crude oil by detecting the proton spin relaxation signal amount of the target crude oil in the liquid, solid, or colloidal state under different temperature conditions, and then determine the apparent viscosity of the target crude oil in the liquid, solid, or colloidal state under different temperature conditions by determining the corresponding relationship between the apparent viscosity and the proton spin relaxation signal amount of the target crude oil in the liquid, solid, or colloidal state under different temperature conditions, the apparent viscosity of the target crude oil under different temperature conditions can be effectively and quickly determined, and further the fluidity of the crude oil can be determined through the plurality of apparent viscosity values, so that the accuracy of the fluidity detection of the target crude oil is effectively improved, and the nondestructive and online qualitative/quantitative analysis of the fluidity of the target crude oil is realized.
In a specific embodiment, referring to fig. 10, the module 10 for determining the relationship between the apparent viscosity and the proton spin relaxation signal amount in the crude oil fluidity detection device specifically includes the following contents:
a crude oil detection submodule B1 for performing a crude oil detection step, and the crude oil detection submodule B1 includes: the device comprises an apparent viscosity and crude oil temperature relation determining unit 11, a proton spin relaxation signal quantity and crude oil temperature relation determining unit 12 and an apparent viscosity and proton spin relaxation signal quantity relation acquiring unit 13. An apparent viscosity-crude oil temperature relationship determining unit 11 for detecting a correspondence relationship between an apparent viscosity of a target crude oil and a crude oil temperature when the crude oil is in a liquid state;
a proton spin relaxation semaphore and crude oil temperature relation determining unit 12 for detecting a corresponding relation between the proton spin relaxation semaphore of the crude oil and the crude oil temperature;
and the apparent viscosity and proton spin relaxation signal quantity relation obtaining unit 13 is configured to obtain a corresponding relation between the apparent viscosity and the proton spin relaxation signal quantity of the crude oil by fitting according to the corresponding relation between the apparent viscosity and the crude oil temperature of the crude oil and the corresponding relation between the proton spin relaxation signal quantity and the crude oil temperature of the crude oil.
And the crude oil replacing submodule B2 is used for replacing different types of crude oil, and controls the crude oil detecting submodule to repeatedly execute the crude oil detecting step after each replacement until the corresponding relation between the apparent viscosity and the proton spin relaxation signal quantity of each type of crude oil is obtained.
And the data storage submodule B3 is used for storing the corresponding relation between the apparent viscosity and the proton spin relaxation signal quantity of various types of crude oil into a crude oil apparent viscosity database.
In the above description, referring to fig. 11, the apparent viscosity-crude temperature relationship determining unit 11 specifically includes the following:
and an apparent viscosity measuring subunit 11a under a first temperature condition for measuring the apparent viscosity of the crude oil under different first temperature conditions, respectively, wherein the first temperature is a temperature at which the crude oil is in a liquid state.
A first curve obtaining subunit 11b, configured to obtain a first curve representing a corresponding relationship between the apparent viscosity and the crude oil temperature of the crude oil according to each crude oil temperature and the corresponding apparent viscosity value of the crude oil.
In the above description, referring to fig. 12, the proton spin relaxation semaphore versus crude oil temperature determination unit 12 includes:
the proton spin relaxation signal measurement quantum unit 12a under the first temperature condition is used for applying a CPMG magnetic vibration pulse sequence under a preset magnetic field strength to respectively measure the proton spin relaxation signal quantity of the crude oil under different first temperature conditions.
And a second curve acquiring subunit 12b, configured to acquire, according to the respective crude oil temperatures of the crude oils and the respective corresponding proton spin relaxation signal magnitudes, a second curve representing a corresponding relationship between the proton spin relaxation signal magnitudes of the crude oils and the crude oil temperatures.
In the above description, the unit 13 for obtaining the relationship between the apparent viscosity and the proton spin relaxation semaphore specifically includes the following components:
a relation fitting obtaining subunit 13a, configured to fit the first curve and the second curve based on each of the first temperatures to obtain a third curve representing a correspondence between the apparent viscosity of the crude oil and the proton spin relaxation signal amount, and a binary equation corresponding to the third curve, which is used as a relation fit between the apparent viscosity of the crude oil and the proton spin relaxation signal amount.
Similar to the proton spin relaxation signal measurement quantum unit 12a under the first temperature condition, the proton spin relaxation signal measurement quantum unit 12a under the first temperature condition of the present invention specifically includes the following contents:
and the proton spin relaxation signal quantity measuring unit 21 under the second temperature condition is used for applying a CPMG magnetic vibration pulse sequence under the preset magnetic field strength to respectively measure the proton spin relaxation signal quantity of the target crude oil under different second temperature conditions, wherein the second temperature is the temperature of the crude oil in a liquid, solid or colloid state.
In order to further improve the detection efficiency and accuracy of the crude oil fluidity detection, referring to fig. 13, the crude oil fluidity determining module 30 in the crude oil fluidity detection system of the present invention specifically includes the following contents:
and the data retrieval unit 31 is used for determining the corresponding relation between the apparent viscosity of the target crude oil and the proton spin relaxation signal quantity in the crude oil apparent viscosity database according to the type of the target crude oil.
And the apparent viscosity acquisition unit 32 is used for substituting the proton spin relaxation signal quantity of the target crude oil under different temperature conditions into the relation fit of the apparent viscosity and the proton spin relaxation signal quantity of the crude oil to obtain the apparent viscosity of the target crude oil under different temperature conditions.
As can be seen from the above description, the crude oil fluidity detection device in the embodiment of the present invention first uses hydrogen protons contained in the crude oil system (c)1H) According to the basic principle that the fluidity is better, the proton spin relaxation signal quantity is stronger, and the transverse relaxation time T2 is longer, the corresponding relation between the proton spin relaxation signal quantity of the crude oil and the apparent viscosity of the crude oil is established under the condition of not directly contacting a crude oil system, and the online nondestructive analysis of the fluidity of the crude oil is realized.
The embodiment of the present application further provides a specific implementation manner of an electronic device, which is capable of implementing all steps in the crude oil fluidity detection method in the above embodiment, and referring to fig. 14, the electronic device specifically includes the following contents:
a processor (processor)601, a memory (memory)602, a communication Interface (Communications Interface)603, and a bus 604;
the processor 601, the memory 602 and the communication interface 603 complete mutual communication through the bus 604; the communication interface 603 is used for implementing information transmission between related devices such as a crude oil fluidity detection device/system and a user terminal;
the processor 601 is used for calling a computer program in the memory 602, and the processor executes the computer program to implement all the steps in the crude oil fluidity detection method in the above embodiment, for example, when the processor executes the computer program to implement the following steps:
step 100: establishing a crude oil apparent viscosity database according to the corresponding relation between the apparent viscosity and the crude oil temperature of various types of crude oil in a liquid state and the corresponding relation between the proton spin relaxation signal quantity and the crude oil temperature of various types of crude oil, wherein the apparent viscosity database is used for storing the corresponding relation between the apparent viscosity and the proton spin relaxation signal quantity of various types of crude oil.
Step 200: detecting proton spin relaxation signal quantity of target crude oil under different temperature conditions, wherein the target crude oil is in a liquid, solid or colloid state.
Step 300: and determining the apparent viscosity of the target crude oil under different temperature conditions in the crude oil apparent viscosity database according to the proton spin relaxation signal quantity of the target crude oil under different temperature conditions.
As can be seen from the above description, the electronic device in the embodiment of the present invention can obtain the fluidity determination basis of each type of crude oil in advance and ensure the accuracy of the determination basis by determining the corresponding relationship between the apparent viscosity and the proton spin relaxation signal quantity of each type of crude oil when each type of crude oil is in a liquid state, can realize non-contact nondestructive detection on the fluidity of the target crude oil by detecting the proton spin relaxation signal quantity of the target crude oil in a liquid, solid or colloidal state under different temperature conditions, can determine the apparent viscosity of the target crude oil under different temperature conditions in the crude oil apparent viscosity database by determining the apparent viscosity of the target crude oil under different temperature conditions according to the proton spin relaxation signal quantity of the target crude oil under different temperature conditions, and can effectively and quickly determine the apparent viscosity of the crude oil under different temperature conditions, and further, the fluidity of the crude oil can be determined through the plurality of apparent viscosity values, so that the accuracy of the detection of the fluidity of the crude oil is effectively improved, and the nondestructive and online qualitative/quantitative analysis of the fluidity of the crude oil is realized.
Embodiments of the present application also provide a computer-readable storage medium capable of implementing all the steps in the crude oil fluidity detection method in the above embodiments, where the computer-readable storage medium stores thereon a computer program, which when executed by a processor implements all the steps of the crude oil fluidity detection method in the above embodiments, for example, the processor implements the following steps when executing the computer program:
step 100: establishing a crude oil apparent viscosity database according to the corresponding relation between the apparent viscosity and the crude oil temperature of various types of crude oil in a liquid state and the corresponding relation between the proton spin relaxation signal quantity and the crude oil temperature of various types of crude oil, wherein the apparent viscosity database is used for storing the corresponding relation between the apparent viscosity and the proton spin relaxation signal quantity of various types of crude oil.
Step 200: detecting proton spin relaxation signal quantity of target crude oil under different temperature conditions, wherein the target crude oil is in a liquid, solid or colloid state.
Step 300: and determining the apparent viscosity of the target crude oil under different temperature conditions in the crude oil apparent viscosity database according to the proton spin relaxation signal quantity of the target crude oil under different temperature conditions.
As can be seen from the above description, the computer-readable storage medium in the embodiment of the present invention can obtain a fluidity determination basis of each type of crude oil in advance and ensure the accuracy of the determination basis by determining the corresponding relationship between the apparent viscosity and the proton spin relaxation signal amount of each type of crude oil when each type of crude oil is in a liquid state, and then can implement non-contact nondestructive detection on the fluidity of a target crude oil by detecting the proton spin relaxation signal amount of the target crude oil in a liquid, solid, or colloidal state under different temperature conditions, and then can determine the apparent viscosity of the target crude oil under different temperature conditions in the crude oil apparent viscosity database by determining the apparent viscosity of the target crude oil under different temperature conditions according to the proton spin relaxation signal amount of the target crude oil under different temperature conditions, thereby determining the apparent viscosity of the crude oil under different temperature conditions effectively and quickly, and further, the fluidity of the crude oil can be determined through the plurality of apparent viscosity values, so that the accuracy of the detection of the fluidity of the crude oil is effectively improved, and the nondestructive and online qualitative/quantitative analysis of the fluidity of the crude oil is realized.
In the crude oil fluidity detection in the prior art, the crude oil can not be used with water and can only be cleaned with kerosene, so that the workload and the experiment cost are greatly increased; in addition, in the testing process, a crude oil system must be in full and uniform contact with an instrument, and the operation is difficult, for example, some ultra-thick oil approaches to a solid or colloid at room temperature or low temperature, and when a cone plate system of a rotational rheometer is used for viscosity testing, the ultra-thick oil cannot be uniformly spread on a cone plate, so that the error of testing data is large; in addition, in the process of temperature rise, different components in the crude oil system can be evaporated, and the experimental result is greatly influenced. In addition, all the current fluidity test methods are contact destructive test methods, and the samples cannot be recycled. Therefore, the present application also provides a specific implementation of a crude oil fluidity detection system, which can implement all the steps in the crude oil fluidity detection method in the above embodiments, and the crude oil fluidity detection system specifically includes the following contents, referring to fig. 2:
the crude oil fluidity detection device is embodied as a server-side device A1, a rotational rheometer A2 low-field nuclear magnetic resonance analyzer A3 and a cryostat A4 which are respectively in communication connection with the server-side device A1.
The rotational rheometer A2 was used to measure the apparent viscosity of the crude oil at different temperature conditions.
The low-field nuclear magnetic resonance analyzer A3 is used for detecting proton spin relaxation signal quantity of the crude oil under different temperature conditions.
The cryostat a4 was used to control the crude oil temperature.
The server-side equipment A1 is used for determining the corresponding relation between the apparent viscosity and the proton spin relaxation signal quantity of the crude oil according to the apparent viscosity of the crude oil under different temperature conditions measured by the rotational rheometer A2 and the proton spin relaxation signal quantity of the crude oil under different temperature conditions checked by the low-field nuclear magnetic resonance analyzer A3; and the method is also used for determining the apparent viscosity of the crude oil in the solid or colloid state under different temperature conditions according to the corresponding relation between the apparent viscosity of the crude oil and the proton spin relaxation signal quantity of the crude oil in the solid or colloid state under different temperature conditions.
As can be seen from the above description, the crude oil fluidity detection system in the embodiment of the present invention, by determining the corresponding relationship between the apparent viscosity and the proton spin relaxation signal amount of each type of crude oil when each type of crude oil is in a liquid state, can obtain the fluidity determination basis of each type of crude oil in advance, and can ensure the accuracy of the determination basis, and then by detecting the proton spin relaxation signal amount of the target crude oil in a liquid, solid or colloidal state under different temperature conditions, can implement non-contact type nondestructive detection on the fluidity of the target crude oil, and then by determining the apparent viscosity of the target crude oil under different temperature conditions in the crude oil apparent viscosity database according to the proton spin relaxation signal amount of the target crude oil under different temperature conditions, can effectively and quickly determine the apparent viscosity of the crude oil under different temperature conditions, and further, the fluidity of the crude oil can be determined through the plurality of apparent viscosity values, so that the accuracy of the detection of the fluidity of the crude oil is effectively improved, and the nondestructive and online qualitative/quantitative analysis of the fluidity of the crude oil is realized.
To further illustrate the scheme, the invention also provides an application example of the crude oil fluidity detection method implemented by the crude oil fluidity detection system, and the crude oil fluidity detection system is used for carrying out the crude oil fluidity detection method by utilizing hydrogen protons in a crude oil system1H is the characteristic, a low-field nuclear magnetic resonance analyzer is adopted, and according to the basic principle that the better the fluidity is, the stronger the proton spin relaxation signal quantity is, and the longer the transverse relaxation time T2 is, under the condition of not directly contacting a crude oil system, the online nondestructive analysis of the fluidity of the crude oil system is realized, and the method specifically comprises the following contents:
(1) choosing to detect hydrogen protons1And H relaxation change instrument equipment selects a CPMG pulse sequence to test the total amount of the proton spin relaxation signals of the crude oil under the condition of determined magnetic field strength, and obtains a transverse relaxation time T2 inversion diagram.
(2) Placing a crude oil system to be tested into a magnetic field coil, and automatically searching for a center frequency O1, a 900 pulse width P1 and a 1800 pulse width P2;
(3) and selecting a CPMG pulse sequence to test the total quantity of proton spin relaxation signals of the crude oil, and obtaining an inversion graph of transverse relaxation time T2.
(4) Changing the experimental conditions (such as temperature) to change the apparent viscosity and the fluidity of the crude oil system, testing the total amount of proton spin relaxation signals of the crude oil under different experimental conditions according to the method, and obtaining an inversion graph of transverse relaxation time T2.
Wherein the crude oil system to be detected is required to be homogeneous, and paramagnetic substances in the crude oil system have less than 1% influence on proton spin relaxation signals; the magnetic field intensity range of the low-field nuclear magnetic analyzer is 0.48T, and the use temperature of the special core holder is-80-100 ℃; the temperature measurement range of the crude oil is-20-80 ℃; the apparent viscosity range of the crude oil is 100-109mPa·s。
Specific examples thereof include the following:
1 experimental part
1.1 laboratory instruments and reagents
Rotational rheometer, RS600, german HAKKE; a low field nuclear magnetic resonance analyzer, meso mr23-060H-HTHP, magnetic field strength 0.48T, shanghai nyimai science and technology ltd; cryostat, DC-5010, nipwoer sincerity instruments ltd.
The crude oil used for the experiment is Venezuela super-thick oil.
1.2 determination of the viscosity-temperature Curve of Venezuela ultra-heavy oil
The apparent viscosities of venezuela ultra-thick oil at 20 ℃, 30 ℃, 40 ℃, 50 ℃, 60 ℃, 70 ℃, 80 ℃ and 90 ℃ were measured respectively using a rotational rheometer cone-plate test system, and a viscosity-temperature curve, i.e., a first curve, was drawn, see fig. 15. For Venezuela super heavy oil, the apparent viscosity interval tested by a rheometer is as follows: 1 to 105mPas, and is a destructive test. As can be seen from FIG. 15, the higher the temperature, the lower the apparent viscosity of the super heavy oil, and the better the fluidity. I.e. apparent viscosity y1With temperature x1The first fitting formula of the corresponding relationship between is y1＝1E+11x1 -4.0589And the first curve correlation coefficient R2＝0.9915。
1.3 proton spin relaxation analysis of Venezuela super-heavy oil at different temperatures
(1) 3.8g of Venezuela super-thick oil is weighed at room temperature and filled into a glass bottle with the volume of 20mL, and O1 of a low-field nuclear magnetic analyzer is 327364Hz, P1 is 15 mus, P2 is 29 mus, TE is 0.3ms, and NECH is 8000.
(2) Under the parameter condition of the step (1), CPMG sequence tests are respectively carried out on the Venezuela ultra-thick oil at 20 ℃, 30 ℃, 40 ℃, 50 ℃, 60 ℃, 70 ℃ and 80 ℃ to obtain the relation between the proton spin relaxation signal quantity and the temperature, namely a second curve, which is shown in figure 16. As can be seen from FIG. 16, with the increase of temperature, the apparent viscosity of the thickened oil is continuously reduced, the fluidity is enhanced, and the proton spin relaxation signal quantity of the thickened oil is also gradually increased, namely the proton spin relaxation signal quantity y2With temperature x1The second fit between is y2＝390.75x12048.2, and the second curve correlation coefficient R2＝0.9769。
(3) Combining the graphs of fig. 15 and fig. 16 to obtain a relationship curve of the apparent viscosity of venezuelan super heavy oil of 3.8g and the proton spin relaxation signal quantity, i.e. a third curve, and fitting to obtain a calculation formula of the apparent viscosity of venezuelan super heavy oil and the proton spin relaxation, see fig. 17. I.e. new proton spin relaxation semaphore x3And apparent viscosity y3The third fitting equation in between is y3＝1E+20x3 -3.7499And the third curve correlation coefficient R2＝0.9488。
(4) Respectively cooling 3.8g of Venezuela super-thick oil in a glass bottle to 10 ℃, 0 ℃, minus 10 ℃ and minus 15 ℃, wherein the super-thick oil is in a solid state, the apparent viscosity cannot be measured by a rotational rheometer, proton spin relaxation signal quantities measured by a nuclear magnetic resonance analyzer are 2593, 1583, 1050 and 950 respectively, and the apparent viscosity of the crude oil at the temperature can be calculated to be 1.57 multiplied by 10 respectively through a fitting formula of a graph 177、1.01×108、4.69×108And 6.82X 108The mPas are all in solid state, and qualitative/quantitative evaluation on the flowability and apparent viscosity of the crude oil system under different temperature conditions is realized.
(5) After the test is finished, the instrument does not need to be cleaned, and the sample can be recovered.
Specific examples are as follows:
2 experimental part
2.1 laboratory instruments and reagents
Rotational rheometer, RS600, german HAKKE; a low field nuclear magnetic resonance analyzer, meso mr23-060H-HTHP, magnetic field strength 0.48T, shanghai nyimai science and technology ltd; cryostat, DC-5010, nipwoer sincerity instruments ltd.
The crude oil for the experiment is Xinjiang Jiu7And (4) super heavy oil.
2.2 Xinjiang Jiu7Determination of viscosity-temperature curve of regional super-thick oil
Respectively measuring Xinjiang nine by using a rotary rheometer cone plate test system7The apparent viscosity of the zone super-thick oil at 20 deg.C, 30 deg.C, 40 deg.C, 50 deg.C, 60 deg.C, 70 deg.C, 80 deg.C was plotted as a viscosity-temperature curve, i.e., a first curve, see FIG. 18. For Xinjiang Jiu7The zone of the super-thick oil has an apparent viscosity interval measured by a rheometer as follows: 1 to 105mPas, and is a destructive test. As can be seen from FIG. 18, the higher the temperature, the lower the apparent viscosity of the super thick oil, and the better the fluidity. I.e. apparent viscosity y1With temperature x1The first fitting formula of the corresponding relationship between is y1＝9E+09x1 -3.2617And the first curve correlation coefficient R2＝0.9532。
2.3 Sinkiang nine7Proton spin relaxation analysis of super heavy oil at different temperatures
(1) Weighing 4.5g of Xinjiang nine at room temperature7The super-thick oil is filled into a glass bottle with the volume of 20mL, and O1 of a low-field nuclear magnetic analyzer is 327364Hz, P1 is 15 mus, P2 is 29 mus, TE is 0.3ms, and NECH is 8000.
(2) Respectively aiming at nine Xinjiang areas under the parameter conditions in the step (1)7The CPMG sequence test of the region super-heavy oil is carried out at 30 ℃, 40 ℃, 50 ℃, 60 ℃, 70 ℃ and 80 ℃ to obtain the relationship between the proton spin relaxation semaphore and the temperature, namely a second curve, and the second curve is shown in figure 19. As can be seen from fig. 19, the fluidity is increased and the proton spin relaxation signal amount of the ultra-thick oil is gradually increased as the temperature is increased. I.e. proton spin relaxation semaphore y2With temperature x1The second fit between is y2＝359.27x1+991.87, and a second curve correlation coefficient R2＝0.9741。
(3) Combining fig. 18 and fig. 19, 4.5g Xinjiang Jiu can be obtained7Fitting a relation curve of the apparent viscosity of the zone super heavy oil and the proton spin relaxation semaphore to obtain Xinjiang Jiu7And (3) a calculation formula of the apparent viscosity of the zone super heavy oil and a third curve of proton spin relaxation, wherein the third curve is shown in figure 20. I.e. new proton spin relaxation semaphore x3And apparent viscosity y3The third fitting equation in between is y3＝0.004x3 2-20.801x3+295496, and a third curve correlation coefficient R2＝0.9754。
(4) 4.5g of Xinjiang nine in a glass bottle7Cooling the super heavy oil to 20 deg.C, 10 deg.C, 0 deg.C and-10 deg.C respectively, the super heavy oil is basically solid, the apparent viscosity can not be accurately measured by using rotary rheometer, the proton spin relaxation semaphore measured by using nuclear magnetic resonance analyzer is 8531, 7912, 2100 and 1050 respectively, and the apparent viscosity of crude oil at the temperature is 1.47 x 105、1.56×105、2.53×105And 2.74X 105The mPas are all in solid state, and qualitative/quantitative evaluation on the flowability and apparent viscosity of the crude oil system under different temperature conditions is realized.
(5) After the test is finished, the instrument does not need to be cleaned, and the sample can be recovered.
Comprehensively analyzing the experimental results of the specific example I and the specific example II, it can be obtained that for the fluidity of the super heavy oil, a low-field nuclear magnetic resonance analyzer can be adopted to perform proton spin relaxation analysis, the stronger the signal quantity, the better the fluidity, and the testing range of the apparent viscosity of the crude oil is as follows: 1 to 109The viscosity reducing agent is mPa.s, is not directly contacted with a crude oil system to be detected, can be used for online nondestructive qualitative/quantitative evaluation and analysis of fluidity and apparent viscosity of common crude oil, high-solidification crude oil, thick oil/super-thick oil, and can evaluate the technical effects of viscosity reduction and pour point depression of thick oil and high-solidification oil through online test.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the hardware + program class embodiment, since it is substantially similar to the method embodiment, the description is simple, and the relevant points can be referred to the partial description of the method embodiment.
The foregoing description has been directed to specific embodiments of this disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
Although the present application provides method steps as described in an embodiment or flowchart, additional or fewer steps may be included based on conventional or non-inventive efforts. The order of steps recited in the embodiments is merely one manner of performing the steps in a multitude of orders and does not represent the only order of execution. When an actual apparatus or client product executes, it may execute sequentially or in parallel (e.g., in the context of parallel processors or multi-threaded processing) according to the embodiments or methods shown in the figures.
The systems, devices, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a vehicle-mounted human-computer interaction device, a cellular telephone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
Although embodiments of the present description provide method steps as described in embodiments or flowcharts, more or fewer steps may be included based on conventional or non-inventive means. The order of steps recited in the embodiments is merely one manner of performing the steps in a multitude of orders and does not represent the only order of execution. When an actual apparatus or end product executes, it may execute sequentially or in parallel (e.g., parallel processors or multi-threaded environments, or even distributed data processing environments) according to the method shown in the embodiment or the figures. The terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, the presence of additional identical or equivalent elements in a process, method, article, or apparatus that comprises the recited elements is not excluded.
For convenience of description, the above devices are described as being divided into various modules by functions, and are described separately. Of course, in implementing the embodiments of the present description, the functions of each module may be implemented in one or more software and/or hardware, or a module implementing the same function may be implemented by a combination of multiple sub-modules or sub-units, and the like. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
Those skilled in the art will also appreciate that, in addition to implementing the controller as pure computer readable program code, the same functionality can be implemented by logically programming method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Such a controller may therefore be considered as a hardware component, and the means included therein for performing the various functions may also be considered as a structure within the hardware component. Or even means for performing the functions may be regarded as being both a software module for performing the method and a structure within a hardware component.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
As will be appreciated by one skilled in the art, embodiments of the present description may be provided as a method, system, or computer program product. Accordingly, embodiments of the present description may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present description may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and so forth) having computer-usable program code embodied therein.
The embodiments of this specification may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The described embodiments may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment. In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of an embodiment of the specification. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
The above description is only an example of the embodiments of the present disclosure, and is not intended to limit the embodiments of the present disclosure. Various modifications and variations to the embodiments described herein will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the embodiments of the present specification should be included in the scope of the claims of the embodiments of the present specification.
Claims (19)
1. A crude oil fluidity detection method, characterized by comprising:
crude oil detection: respectively measuring the apparent viscosity of the crude oil under different first temperature conditions when the crude oil of the current kind is in a liquid state, wherein the first temperature is the temperature for enabling the crude oil to be in the liquid state; acquiring a first curve for representing the corresponding relation between the apparent viscosity and the crude oil temperature of the crude oil according to the crude oil temperature and the corresponding apparent viscosity value of the crude oil;
under the preset magnetic field intensity, applying a CPMG magnetic vibration pulse sequence to respectively measure proton spin relaxation signal quantities of the crude oil under different first temperature conditions; acquiring a second curve for representing the corresponding relation between the proton spin relaxation signal quantity of the crude oil and the crude oil temperature according to the crude oil temperature and the proton spin relaxation signal quantity value corresponding to the crude oil temperature;
fitting the first curve and the second curve based on each first temperature to obtain a third curve for representing the corresponding relation between the apparent viscosity and the proton spin relaxation signal quantity of the crude oil and a binary equation corresponding to the third curve, wherein the third curve is used as a fit of the relation between the apparent viscosity and the proton spin relaxation signal quantity of the crude oil;
replacing different types of crude oil, and repeatedly executing the crude oil detection step after each replacement until the corresponding relation between the apparent viscosity and the proton spin relaxation signal quantity of each type of crude oil is obtained;
storing the corresponding relation between the apparent viscosity of various crude oils and the proton spin relaxation semaphore into a crude oil apparent viscosity database;
detecting proton spin relaxation signal quantity of target crude oil under different temperature conditions, wherein the target crude oil is in a liquid, solid or colloid state;
and determining the apparent viscosity of the target crude oil under different temperature conditions in the crude oil apparent viscosity database according to the proton spin relaxation signal quantity of the target crude oil under different temperature conditions.
2. The crude oil fluidity detection method according to claim 1, wherein the detecting proton spin relaxation signal quantities of the target crude oil under different temperature conditions comprises:
under the preset magnetic field intensity, a CPMG magnetic vibration pulse sequence is applied to respectively measure the proton spin relaxation signal quantity of the target crude oil under different second temperature conditions, wherein the second temperature is the temperature of the target crude oil in a liquid, solid or colloid state.
3. The crude oil fluidity detection method according to claim 1, wherein the determining, in the crude oil apparent viscosity database, the apparent viscosity of the target crude oil under different temperature conditions according to the proton spin relaxation signal quantity of the target crude oil under different temperature conditions comprises:
determining the corresponding relation between the apparent viscosity of the target crude oil and the proton spin relaxation signal quantity in the crude oil apparent viscosity database according to the type of the target crude oil;
and substituting the proton spin relaxation signal quantity of the target crude oil under different temperature conditions into a relational fit between the apparent viscosity of the crude oil and the proton spin relaxation signal quantity to obtain the apparent viscosity of the target crude oil under different temperature conditions.
4. The crude oil fluidity detection method according to claim 1, wherein the crude oil contains a paramagnetic substance, and the paramagnetic substance affects a proton spin relaxation signal of the crude oil by less than 1%.
5. The crude oil fluidity detection method according to claim 1, wherein the preset magnetic field strength is 0.05T to 1.5T.
6. The crude oil fluidity detection method according to claim 1, wherein the crude oil has an apparent viscosity in a test range of 1 to 109 mPa-s.
7. The crude oil fluidity detection method according to claim 1, wherein the first temperature is measured in a range of 20 ℃ to 100 ℃.
8. The crude oil fluidity detection method according to claim 2, wherein the second temperature is measured in a range of-80 ℃ to 100 ℃.
9. A crude oil fluidity detection device, characterized by comprising:
the system comprises an apparent viscosity and proton spin relaxation semaphore relationship determining module, a proton spin relaxation semaphore determining module and a data processing module, wherein the apparent viscosity and proton spin relaxation semaphore relationship determining module is used for establishing a crude oil apparent viscosity database according to the corresponding relationship between the apparent viscosity and the crude oil temperature of various types of crude oil in a liquid state and the corresponding relationship between the proton spin relaxation semaphore of various types of crude oil and the crude oil temperature, and the crude oil apparent viscosity database is used for storing the corresponding relationship between the apparent viscosity and the proton spin relaxation semaphore of various types of crude oil;
the solid crude oil proton spin relaxation semaphore measurement module is used for detecting the proton spin relaxation semaphore of target crude oil under different temperature conditions, wherein the target crude oil is in a liquid, solid or colloid state;
a crude oil fluidity determining module for determining the apparent viscosity of the target crude oil under different temperature conditions in the crude oil apparent viscosity database according to the proton spin relaxation signal quantity of the target crude oil under different temperature conditions;
the apparent viscosity and proton spin relaxation semaphore relationship determination module comprises:
a crude oil detection sub-module for performing a crude oil detection step, and the crude oil detection sub-module comprises: the device comprises an apparent viscosity and crude oil temperature relation determining unit, a proton spin relaxation signal quantity and crude oil temperature relation determining unit and an apparent viscosity and proton spin relaxation signal quantity relation acquiring unit;
the unit for determining the relationship between the apparent viscosity and the crude oil temperature is used for detecting the corresponding relationship between the apparent viscosity and the crude oil temperature of the crude oil when the crude oil of the current type is in a liquid state;
the proton spin relaxation semaphore and crude oil temperature relation determining unit is used for detecting the corresponding relation between the proton spin relaxation semaphore of the crude oil and the crude oil temperature;
the unit for obtaining the relationship between the apparent viscosity and the proton spin relaxation signal quantity is used for fitting to obtain the relationship between the apparent viscosity and the proton spin relaxation signal quantity of the crude oil according to the relationship between the apparent viscosity and the crude oil temperature of the crude oil and the relationship between the proton spin relaxation signal quantity and the crude oil temperature of the crude oil;
the crude oil replacing submodule is used for replacing different types of crude oil, and controls the crude oil detecting submodule to repeatedly execute the crude oil detecting step after each replacement until the corresponding relation between the apparent viscosity and the proton spin relaxation signal quantity of each type of crude oil is obtained;
the data storage submodule is used for storing the corresponding relation between the apparent viscosity and the proton spin relaxation semaphore of various types of crude oil into the crude oil apparent viscosity database;
the apparent viscosity and crude oil temperature relation determining unit comprises:
the apparent viscosity measurement sub-unit under the first temperature condition is used for respectively measuring the apparent viscosity of the crude oil under different first temperature conditions, wherein the first temperature is the temperature for leading the crude oil to be in a liquid state;
a first curve obtaining subunit, configured to obtain, according to each crude oil temperature of the crude oil and the corresponding apparent viscosity value, a first curve representing a corresponding relationship between the apparent viscosity and the crude oil temperature of the crude oil;
the unit for determining the relationship between the proton spin relaxation semaphore and the crude oil temperature comprises:
the proton spin relaxation signal measurement quantum unit under the first temperature condition is used for applying a CPMG magnetic vibration pulse sequence under the preset magnetic field strength to respectively measure the proton spin relaxation signal quantity of the crude oil under different first temperature conditions;
a second curve obtaining subunit, configured to obtain, according to respective crude oil temperatures of the crude oils and respective corresponding proton spin relaxation signal magnitudes, a second curve representing a corresponding relationship between the proton spin relaxation signal magnitudes of the crude oils and the crude oil temperatures;
the unit for acquiring the relation between the apparent viscosity and the proton spin relaxation semaphore comprises:
and the relation fitting obtaining subunit is configured to fit the first curve and the second curve based on each of the first temperatures to obtain a third curve representing a correspondence between the apparent viscosity of the crude oil and the proton spin relaxation signal amount, and a binary equation corresponding to the third curve, which is used as a relation fitting formula between the apparent viscosity of the crude oil and the proton spin relaxation signal amount.
10. The crude oil fluidity detection device according to claim 9, wherein the solid crude oil proton spin relaxation signal quantity measurement module comprises:
and the proton spin relaxation signal quantity measuring unit under the second temperature condition is used for respectively measuring the proton spin relaxation signal quantity of the target crude oil under different second temperature conditions by applying a CPMG magnetic vibration pulse sequence under the preset magnetic field strength, wherein the second temperature is the temperature of the target crude oil in a liquid, solid or colloid state.
11. The crude oil fluidity detection device according to claim 9, wherein the crude oil fluidity determination module includes:
a data calling unit, which is used for determining the corresponding relation between the apparent viscosity of the target crude oil and the proton spin relaxation signal quantity in the crude oil apparent viscosity database according to the type of the target crude oil;
and the apparent viscosity acquisition unit is used for substituting the proton spin relaxation signal quantity of the target crude oil under different temperature conditions into a relational fit between the apparent viscosity and the proton spin relaxation signal quantity of the crude oil to obtain the apparent viscosity of the target crude oil under different temperature conditions.
12. The crude oil fluidity detection device according to claim 9, wherein the crude oil contains a paramagnetic substance, and the paramagnetic substance affects a proton spin relaxation signal of the crude oil by less than 1%.
13. The crude oil fluidity detection device according to claim 9, wherein the preset magnetic field strength is 0.05T to 1.5T.
14. The crude oil fluidity detection apparatus according to claim 9, wherein the crude oil has an apparent viscosity in a test range of 1 mPa-s to 109mPa·s。
15. The crude oil fluidity detection device according to claim 9, wherein the first temperature is measured in a range of 20 ℃ to 100 ℃.
16. The crude oil fluidity detection device according to claim 10, wherein the second temperature is measured in a range of-80 ℃ to 100 ℃.
17. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements steps of a crude oil fluidity detection method when executing the computer program, comprising:
crude oil detection: respectively measuring the apparent viscosity of the crude oil under different first temperature conditions when the crude oil of the current kind is in a liquid state, wherein the first temperature is the temperature for enabling the crude oil to be in the liquid state; acquiring a first curve for representing the corresponding relation between the apparent viscosity and the crude oil temperature of the crude oil according to the crude oil temperature and the corresponding apparent viscosity value of the crude oil;
under the preset magnetic field intensity, applying a CPMG magnetic vibration pulse sequence to respectively measure proton spin relaxation signal quantities of the crude oil under different first temperature conditions; acquiring a second curve for representing the corresponding relation between the proton spin relaxation signal quantity of the crude oil and the crude oil temperature according to the crude oil temperature and the proton spin relaxation signal quantity value corresponding to the crude oil temperature;
fitting the first curve and the second curve based on each first temperature to obtain a third curve for representing the corresponding relation between the apparent viscosity and the proton spin relaxation signal quantity of the crude oil and a binary equation corresponding to the third curve, wherein the third curve is used as a fit of the relation between the apparent viscosity and the proton spin relaxation signal quantity of the crude oil;
replacing different types of crude oil, and repeatedly executing the crude oil detection step after each replacement until the corresponding relation between the apparent viscosity and the proton spin relaxation signal quantity of each type of crude oil is obtained;
storing the corresponding relation between the apparent viscosity of various crude oils and the proton spin relaxation semaphore into a crude oil apparent viscosity database;
detecting proton spin relaxation signal quantity of target crude oil under different temperature conditions, wherein the target crude oil is in a liquid, solid or colloid state;
and determining the apparent viscosity of the target crude oil under different temperature conditions in the crude oil apparent viscosity database according to the proton spin relaxation signal quantity of the target crude oil under different temperature conditions.
18. A computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of a crude oil fluidity detection method, comprising:
crude oil detection: respectively measuring the apparent viscosity of the crude oil under different first temperature conditions when the crude oil of the current kind is in a liquid state, wherein the first temperature is the temperature for enabling the crude oil to be in the liquid state; acquiring a first curve for representing the corresponding relation between the apparent viscosity and the crude oil temperature of the crude oil according to the crude oil temperature and the corresponding apparent viscosity value of the crude oil;
under the preset magnetic field intensity, applying a CPMG magnetic vibration pulse sequence to respectively measure proton spin relaxation signal quantities of the crude oil under different first temperature conditions; acquiring a second curve for representing the corresponding relation between the proton spin relaxation signal quantity of the crude oil and the crude oil temperature according to the crude oil temperature and the proton spin relaxation signal quantity value corresponding to the crude oil temperature;
fitting the first curve and the second curve based on each first temperature to obtain a third curve for representing the corresponding relation between the apparent viscosity and the proton spin relaxation signal quantity of the crude oil and a binary equation corresponding to the third curve, wherein the third curve is used as a fit of the relation between the apparent viscosity and the proton spin relaxation signal quantity of the crude oil;
replacing different types of crude oil, and repeatedly executing the crude oil detection step after each replacement until the corresponding relation between the apparent viscosity and the proton spin relaxation signal quantity of each type of crude oil is obtained;
storing the corresponding relation between the apparent viscosity of various crude oils and the proton spin relaxation semaphore into a crude oil apparent viscosity database;
detecting proton spin relaxation signal quantity of target crude oil under different temperature conditions, wherein the target crude oil is in a liquid, solid or colloid state;
and determining the apparent viscosity of the target crude oil under different temperature conditions in the crude oil apparent viscosity database according to the proton spin relaxation signal quantity of the target crude oil under different temperature conditions.
19. A crude oil fluidity detection system, comprising: the crude oil fluidity detecting device according to any one of claims 9 to 16, and a rotational rheometer, a low-field nuclear magnetic resonance analyzer and a cryostat, each of which is in communication with the crude oil fluidity detecting device;
the rotational rheometer is used for measuring the apparent viscosity of the crude oil under different temperature conditions;
the low-field nuclear magnetic resonance analyzer is used for detecting proton spin relaxation semaphore of the crude oil under different temperature conditions;
the low-temperature constant-temperature tank is used for controlling the temperature of the crude oil;
the crude oil fluidity detection device is used for detecting the apparent viscosity of each type of crude oil under different temperature conditions measured by the rotational rheometer and the proton spin relaxation signal quantity of each type of crude oil under different temperature conditions detected by the low-field nuclear magnetic resonance analyzer, and establishing a crude oil apparent viscosity database according to the corresponding relation between the apparent viscosity of each type of crude oil in a liquid state and the crude oil temperature and the corresponding relation between the proton spin relaxation signal quantity of each type of crude oil and the crude oil temperature, wherein the crude oil apparent viscosity database is used for storing the corresponding relation between the apparent viscosity of each type of crude oil and the proton spin relaxation signal quantity; and also used for determining the proton spin relaxation signal quantity of the target crude oil under different temperature conditions, and determining the apparent viscosity of the target crude oil under different temperature conditions in the crude oil apparent viscosity database.
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