CN116504326A - Method and electronic equipment for determining effective oil content of shale - Google Patents
Method and electronic equipment for determining effective oil content of shale Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 48
- 238000012937 correction Methods 0.000 claims abstract description 144
- 239000005416 organic matter Substances 0.000 claims abstract description 100
- 229930195733 hydrocarbon Natural products 0.000 claims abstract description 91
- 150000002430 hydrocarbons Chemical class 0.000 claims abstract description 91
- 239000004215 Carbon black (E152) Substances 0.000 claims abstract description 81
- 239000003079 shale oil Substances 0.000 claims description 71
- 239000003921 oil Substances 0.000 claims description 49
- 238000010586 diagram Methods 0.000 claims description 37
- 239000011435 rock Substances 0.000 claims description 36
- 239000010779 crude oil Substances 0.000 claims description 34
- 238000004364 calculation method Methods 0.000 claims description 17
- 230000015654 memory Effects 0.000 claims description 9
- 230000006870 function Effects 0.000 claims description 5
- 238000004590 computer program Methods 0.000 claims description 2
- 238000000197 pyrolysis Methods 0.000 description 8
- 238000011161 development Methods 0.000 description 5
- 239000003960 organic solvent Substances 0.000 description 3
- 238000000638 solvent extraction Methods 0.000 description 3
- HEDRZPFGACZZDS-UHFFFAOYSA-N Chloroform Chemical compound ClC(Cl)Cl HEDRZPFGACZZDS-UHFFFAOYSA-N 0.000 description 2
- 238000005481 NMR spectroscopy Methods 0.000 description 2
- 230000015572 biosynthetic process Effects 0.000 description 2
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- 230000004048 modification Effects 0.000 description 2
- 238000001179 sorption measurement Methods 0.000 description 2
- 239000004079 vitrinite Substances 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 239000010426 asphalt Substances 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
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- 239000011148 porous material Substances 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 239000004575 stone Substances 0.000 description 1
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Abstract
The application provides a method and electronic equipment for determining effective oil content of shale. The method includes determining organic matter maturity and free hydrocarbon content of shale to be evaluated; determining a target correction coefficient corresponding to the organic matter maturity of the shale to be evaluated; correcting the free hydrocarbon content of the shale to be evaluated by using the target correction coefficient so as to determine the effective oil content of the shale to be evaluated. In the method, the free hydrocarbon content of the shale to be evaluated is corrected, so that the accuracy of the obtained effective oil content is higher, and the problems in the prior art are solved.
Description
Technical Field
The application relates to the technical field of shale oil, in particular to a method and electronic equipment for determining effective oil content of shale.
Background
Shale oil is an important strategic resource and has important significance for guaranteeing national energy safety, so that the determination of the geological resource quantity of the shale oil is a key for the development of shale oil industry and is also a foundation stone for the construction of shale oil productivity.
The oil content of shale is a key parameter for determining the geological resource quantity of shale oil, and refers to the mass fraction of crude oil (mainly hydrocarbon) contained in shale layer per unit mass of shale. In addition, according to the results of the current research and analysis, shale oil in shale layers mainly has two occurrence modes, wherein the first mode is that free hydrocarbon is freely stored in pores of shale, and the second mode is that adsorption hydrocarbon is adsorbed and stored on kerogen and inorganic minerals, wherein according to the current development technology, the free hydrocarbon in shale has effective exploration and development values, and the exploration and development values of adsorption hydrocarbon are relatively low. There is therefore a need to accurately determine the free hydrocarbon content in shale, i.e., the effective oil content of shale.
In the prior art, rock pyrolysis methods are commonly used to determine the free hydrocarbon content of shale, which is determined primarily by pyrolysis of shale samples. However, under the condition of the original stratum, a certain amount of light hydrocarbons (hydrocarbons less than or equal to C16) exist in the shale, and the light hydrocarbons are taken as important components of free hydrocarbons, and often volatilize in a large amount in the processes of collecting and transporting shale samples, so that the measured effective oil content of the shale is insufficient in accuracy.
Disclosure of Invention
An object of an embodiment of the application is to provide a method and electronic equipment for determining effective oil content of shale, which are used for solving the problems in the prior art.
A first aspect of an embodiment of the present application provides a method for determining an effective oil content of shale, comprising:
determining the organic matter maturity and free hydrocarbon content of shale to be evaluated;
determining a target correction coefficient corresponding to the organic matter maturity of the shale to be evaluated;
correcting the free hydrocarbon content of the shale to be evaluated by using the target correction coefficient so as to determine the effective oil content of the shale to be evaluated.
In one embodiment, determining the target correction coefficient corresponding to the organic matter maturity of the shale to be evaluated specifically includes:
determining the free hydrocarbon content, shale rock density, shale oil crude oil density, shale oil saturation and effective porosity of the shale to be evaluated;
and calculating the target correction coefficient according to a correction coefficient calculation formula and the free hydrocarbon content, shale rock density, shale oil crude oil density, shale oil saturation and effective porosity of the shale to be evaluated.
In one embodiment, the calculating the target correction coefficient according to a correction coefficient calculation formula and the free hydrocarbon content, shale rock density, shale oil crude oil density, shale oil saturation and effective porosity of the shale to be evaluated specifically includes: the target correction coefficient is calculated by the following correction coefficient calculation formula:
wherein K is the calculated target correction coefficient; so is shale oil saturation;is effective porosity; ρ o The density of the shale oil crude oil; ρ r Is shale rock density; s is S 1 Is the free hydrocarbon content.
In one embodiment, determining the target correction coefficient corresponding to the organic matter maturity of the shale to be evaluated specifically includes:
and calculating a target correction coefficient corresponding to the organic matter maturity of the shale to be evaluated according to the organic matter maturity of the shale to be evaluated and a mathematical relation model between the correction coefficient and the organic matter maturity of the shale.
In one embodiment, the method further comprises:
acquiring a relation diagram between the correction coefficient and the shale organic matter maturity;
and establishing the mathematical relationship model by utilizing the data points in the relationship graph.
In one embodiment, obtaining a graph of a relationship between correction factors and shale organic matter maturity, specifically includes:
and obtaining a relation diagram between the correction coefficient and the shale organic matter maturity from the relation diagram library.
In one embodiment, obtaining a graph of a relationship between correction factors and shale organic matter maturity, specifically includes:
obtaining a plurality of groups of shale samples, wherein each group of shale samples has different organic matter maturity;
determining the free hydrocarbon content, shale rock density, shale oil crude oil density, shale oil saturation and effective porosity of each group of shale samples respectively;
according to a correction coefficient calculation formula and the free hydrocarbon content, shale rock density, shale oil crude oil density, shale oil saturation and effective porosity of each group of shale samples, respectively calculating correction coefficients respectively corresponding to each group of shale samples;
and drawing the relation graph by utilizing the organic matter maturity of each group of shale samples and the correction coefficients corresponding to the shale samples.
In an embodiment, calculating the target correction coefficient corresponding to the organic matter maturity of the shale to be evaluated according to the organic matter maturity of the shale to be evaluated and a mathematical relationship model between the correction coefficient and the organic matter maturity of the shale, specifically includes calculating the target correction coefficient according to the organic matter maturity of the shale to be evaluated and a mathematical relationship model k=f (Ro), where the mathematical relationship model k=f (Ro) specifically includes a piecewise function as follows:
K＝a×Ro+b(Ro<0.8％)
K＝c×e (d×Ro) (0.8％<Ro<1.3％)
K＝m×Ro+n(Ro>1.3％)
wherein K is the calculated target correction coefficient; ro is the organic matter maturity of the shale to be evaluated; a. b, c, d, m and n are preset parameters, respectively.
In one embodiment, correcting the free hydrocarbon content of the shale to be evaluated by using the target correction coefficient to determine the effective oil content of the shale to be evaluated specifically includes: the effective oil content is calculated by the following formula:
C o ＝K×S 1 ；
wherein C is o For the calculated effective oil content; k is the target correction coefficient; s is S 1 Is the free hydrocarbon content of the shale to be evaluated.
A second aspect of an embodiment of the present application provides an electronic device, including:
a memory for storing a computer program;
a processor configured to perform a method according to any one of the method embodiments of the present application.
The method for determining the effective oil content of the shale comprises the steps of firstly determining the organic matter maturity and the free hydrocarbon content of the shale to be evaluated, then determining the target correction coefficient corresponding to the organic matter maturity of the shale to be evaluated, and correcting the free hydrocarbon content of the shale to be evaluated by utilizing the target correction coefficient to determine the effective oil content of the shale to be evaluated. In the method, the free hydrocarbon content of the shale to be evaluated is corrected, so that the accuracy of the obtained effective oil content is higher, and the problems in the prior art are solved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic diagram of a specific structure of an electronic device according to an embodiment of the present application;
FIG. 2 is a schematic illustration of a specific flow chart of a method for determining effective oil content of shale according to another embodiment of the present application;
FIG. 3 is a graph of the relationship between correction factors and shale organic matter maturity according to one embodiment of the present disclosure;
FIG. 4 is a schematic flow chart of a method for plotting a relationship between correction coefficients and shale organic matter maturity according to an embodiment of the present disclosure;
fig. 5 is a schematic diagram of a specific structure of an apparatus for determining effective oil content of shale according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application. In the description of the present application, terms such as "first," "second," "third," and the like are used merely to distinguish between descriptions and are not to be construed as indicating or implying relative importance or order.
As previously mentioned, rock pyrolysis is commonly used in the prior art to determine the free hydrocarbon content of shale, and is primarily determined by pyrolysis of shale samples. However, due to the fact that a certain amount of light hydrocarbons (hydrocarbons less than or equal to C16) exist in the shale in the original stratum state, the light hydrocarbons are taken as important components of free hydrocarbons and often volatilize in the processes of collecting and transporting shale samples, and the like, so that the measured effective oil content of the shale is insufficient in accuracy
Based on the above, the embodiment of the application provides a method, a device, electronic equipment and a storage medium for determining the effective oil content of shale, which can determine the effective oil content of shale more accurately than the prior art.
An embodiment of the present application provides an electronic device 1, and as shown in fig. 1, a specific structural schematic diagram of the electronic device 1 is shown. The electronic device 1 includes: at least one processor 11 and a memory 12, one processor being exemplified in fig. 1. The processor 11 and the memory 12 may be connected by a bus 10, and the memory 12 stores instructions executable by the processor 11, which are executed by the processor 11, so that the electronic device 1 may perform all or part of the flow of the method in the embodiments described below.
In practical applications, the electronic device 1 may be a mobile phone, a tablet computer, a notebook computer, a desktop computer, or a large server or a server cluster formed by the same.
As shown in fig. 2, a specific flow chart of a method for determining effective oil content of shale according to an embodiment of the present application is shown, and the method includes the following steps:
step S21: the organic matter maturity and free hydrocarbon content of the shale to be evaluated are determined.
When the effective oil content of a certain shale is required to be determined, the shale can be used as the shale to be evaluated, and the effective oil content of the shale to be evaluated is determined by using the method provided by the embodiment of the application. In the embodiment of the application, the free hydrocarbon content of the shale to be evaluated can be determined first, and then the effective oil content of the shale to be evaluated is finally determined by correcting the free hydrocarbon content.
Here, in the step S21, the specific manner of determining the organic matter maturity and the free hydrocarbon content of the shale to be evaluated may be, for example, obtaining the organic matter maturity and the free hydrocarbon content of the shale to be evaluated input by the user, as determined.
For example, in practical application, a user can input the organic matter maturity and the free hydrocarbon content of the shale to be evaluated through the client, so that the electronic equipment can determine the organic matter maturity and the free hydrocarbon content of the shale to be evaluated according to the input of the user.
Of course, other implementations are possible for this step S21, such as directly determining the organic matter maturity and free hydrocarbon content of the shale to be evaluated.
Wherein the free hydrocarbon content of the shale to be evaluated can be determined by Rock pyrolysis, e.g., a unit mass of shale to be evaluated can be weighed and placed in a Rock-pyrolyzer (Rock-Eval), and the S can then be determined by Rock pyrolysis based on the Rock-pyrolyzer 1 The method comprises the steps of carrying out a first treatment on the surface of the In addition, for the organic matter maturity of the shale to be evaluated, the shale to be evaluated may be determined, for example, by a vitrinite reflectometerThe organic matter maturity of shale was evaluated.
Step S22: and determining a target correction coefficient corresponding to the organic matter maturity of the shale to be evaluated.
The embodiment of the application focuses on correcting the free hydrocarbon content of the shale to be evaluated, which is obtained in the step S22, so that the accuracy of the effective oil content is higher. For the correction mode, in the step S22, a target correction coefficient corresponding to the organic matter maturity of the shale to be evaluated is determined, and the free hydrocarbon content is corrected by using the target correction coefficient.
It should be noted that, because of the strong formation heterogeneity of the land shale, the related theory of hydrocarbon production dynamics considers that the formation mechanism and speed of shale oil are not the same, so that the difference exists in the ratio of light hydrocarbon in shale oil, and the difference is related to the organic matter maturity of shale. Therefore, in the step S22, a target correction coefficient corresponding to the organic matter maturity of the shale to be evaluated needs to be determined, and the target correction coefficient is related to the organic matter maturity at this time, so that the difference of the light hydrocarbon ratio in the shale oil is reflected, and therefore, the free hydrocarbon content can be corrected by using the target correction coefficient, and the more accurate effective oil content of the shale to be evaluated is obtained.
There are also various specific implementations of this step S22, and several descriptions are given here.
In the first mode, the target correction coefficient corresponding to the organic matter maturity of the shale to be evaluated can be directly calculated by utilizing the related physicochemical parameters of the shale to be evaluated. For example, the free hydrocarbon content, shale rock density, shale oil crude oil density, shale oil saturation and effective porosity of the shale to be evaluated can be determined, and then the target correction coefficient is calculated according to a correction coefficient calculation formula and the free hydrocarbon content, shale rock density, shale oil crude oil density, shale oil saturation and effective porosity of the shale to be evaluated.
Wherein the correction coefficient calculation formula can beIn the correction coefficient calculation formula, K is the calculated target correction coefficient; so is shale oil saturation; />Is effective porosity; ρ o The density of the shale oil crude oil; ρ r Is shale rock density; s is S 1 Is the free hydrocarbon content. Therefore, the free hydrocarbon content, shale rock density, shale oil crude oil density, shale oil saturation and effective porosity of the shale to be evaluated can be substituted into the correction coefficient calculation formula +.>Thereby calculating the target correction coefficient.
Wherein, for the specific way of determining the free hydrocarbon content, shale rock density, shale oil crude oil density, shale oil saturation and effective porosity of the shale to be evaluated, for example, a rock densitometer or other way can be utilized to determine the shale rock density of the shale to be evaluated; shale oil can be extracted from the shale to be evaluated firstly, then the shale oil crude oil density of the shale to be evaluated is measured by utilizing a crude oil density measuring instrument or other modes, and the shale oil crude oil density of the shale to be evaluated can be estimated by the evolution relation of the crude oil density and the shale organic matter maturity; for shale oil saturation and effective porosity of the shale to be evaluated, a nuclear magnetic resonance analyzer can be used for detection, so that the shale oil saturation and effective porosity of the shale to be evaluated are obtained.
And secondly, calculating a target correction coefficient corresponding to the organic matter maturity of the shale to be evaluated according to the organic matter maturity of the shale to be evaluated and a mathematical relation model between the correction coefficient and the organic matter maturity of the shale.
The generation mechanism and speed of shale oil are not the same, so that the difference exists between the light hydrocarbon ratio in the shale oil and the organic matter maturity of shale, so that a mathematical relationship model between the correction coefficient and the organic matter maturity of shale can be generated in advance, and then in the step S22, the target correction coefficient can be calculated according to the organic matter maturity of shale to be evaluated and the mathematical relationship model.
The mathematical relationship model is generated in advance by firstly acquiring a relationship diagram between the correction coefficient and the shale organic matter maturity and then establishing the mathematical relationship model by utilizing data points in the relationship diagram. For the specific mode of acquiring the relationship graph, for example, the relationship graph between the correction coefficient and the shale organic matter maturity can be acquired from a relationship graph library, and the relationship graph can also be directly drawn.
For example, as shown in fig. 3, which is an example of a relationship diagram between the correction coefficient and the shale organic matter maturity in practical application, the abscissa of the relationship diagram is the shale organic matter maturity Ro, and the ordinate is the corresponding correction coefficient K, and a corresponding mathematical relationship model k=f (Ro) can be established by using data points in the relationship diagram.
According to a large amount of experimental data analysis in practice, it can be found that the difference of correction coefficients of shale with different depths and different shale maturity is larger, and the correction coefficient is usually smaller than 1.3 when the shale organic matter maturity Ro is lower (for example Ro <0.8 percent); when the shale organic matter maturity Ro reaches a medium period (such as 0.8% < Ro < 1.3%), the correction coefficient increases exponentially, up to 3.0, and when the shale organic matter maturity Ro reaches a high maturity period (such as Ro > 1.3%), the correction coefficient generally remains stable at high values with small changes, generally between 3-3.5. Thus, a three-piece mathematical relationship may be established, where the k=f (Ro) may specifically include a piecewise function as follows:
K＝a×Ro+b(Ro<0.8％)
K＝c×e (d×Ro) (0.8％<Ro<1.3％)
K＝m×Ro+n(Ro>1.3％)
wherein K is the calculated target correction coefficient; ro is the organic matter maturity of the shale to be evaluated, a, b, c, d, m and n are respectively the same or different preset parameters, and the specific values of the preset constants can be usually determined according to actual conditions; at this time, the value of K increases linearly in the interval Ro <0.8%, increases exponentially in the interval Ro <0.8% < Ro <1.3%, and increases linearly in the interval Ro > 1.3%.
Therefore, when calculating the target correction coefficient according to the organic matter maturity of the shale to be evaluated and the mathematical relationship model k=f (Ro), the interval of the organic matter maturity of the shale to be evaluated can be firstly judged, for example, when the organic matter maturity of the shale to be evaluated is less than 0.8%, the target correction coefficient can be calculated by using k=a×ro+b, for example, when the organic matter maturity of the shale to be evaluated is greater than 0.8% and less than 1.3%, the target correction coefficient can be calculated by using k=c×e (d×Ro) And calculating a target correction coefficient, for example, under the condition that the organic matter maturity of the shale to be evaluated is greater than 1.3%, calculating the target correction coefficient by using K=m×Ro+n.
In one embodiment, such as in conjunction with the data points in fig. 3, a=0.65, b=0.68 in the mathematical relationship model k=f (Ro) established; c=0.287, d=1.8; e=0.25, f=3.1, where the k=f (Ro) specifically includes the piecewise function shown below:
K＝0.65×Ro+0.68(Ro<0.8％)
K＝0.287×e (1.8×Ro) (0.8％<Ro<1.3％)
K＝0.25×Ro+3.1(Ro>1.3％)
step S23: and correcting the free hydrocarbon content of the shale to be evaluated by using the target correction coefficient so as to determine the effective oil content of the shale to be evaluated.
After determining the target correction coefficient in the step S22, in the step S23, the free hydrocarbon content of the shale to be evaluated may be further corrected by using the target correction coefficient, so as to obtain an effective oil content of the shale to be evaluated, and for a specific correction manner, for example, the free hydrocarbon content of the shale to be evaluated may be added with the target correction coefficient, so as to obtain the effective oil content; the effective oil content may also be obtained by multiplying the free hydrocarbon content of the shale to be evaluated by the target correction factor, for example, the effective oil content may be calculated by the following formula:
C o ＝K×S 1 ；
in the formula, C o For the calculated effective oil content; k is a target correction coefficient; s is S 1 Is the free hydrocarbon content of the shale to be evaluated.
The method for determining the effective oil content of the shale comprises the steps of firstly determining the organic matter maturity and the free hydrocarbon content of the shale to be evaluated, then determining the target correction coefficient corresponding to the organic matter maturity of the shale to be evaluated, and correcting the free hydrocarbon content of the shale to be evaluated by utilizing the target correction coefficient to determine the effective oil content of the shale to be evaluated. In the method, the free hydrocarbon content of the shale to be evaluated is corrected, so that the accuracy of the obtained effective oil content is higher, and the problems in the prior art are solved.
It should be noted that, in the prior art, the rock pyrolysis method is generally adopted to determine the content of free hydrocarbon in shale, but because light hydrocarbon is taken as an important component of the free hydrocarbon, a large amount of light hydrocarbon is often volatilized in the processes of collecting and transporting shale samples, so that the accuracy of the measured effective oil content of the shale is insufficient, and therefore, the method provided by the embodiment of the application corrects the content of the free hydrocarbon through the target correction coefficient, so that the accuracy of the obtained effective oil content is higher; in addition, the prior art generally employs an organic solvent extraction method, such as chloroform asphalt "a", to extract crude oil from shale to determine the oil content in shale, but the organic solvent extraction method also extracts a great deal of adsorbed hydrocarbons from shale (the above-mentioned exploration and development values of the adsorbed hydrocarbons are relatively low), so the oil content measured by the organic solvent extraction method is obviously higher than the effective oil content.
It should be further noted that, in the step S22, a relationship diagram between the correction coefficient and the shale organic matter maturity may be obtained first, and then the mathematical relationship model may be established by using the data points in the relationship diagram. For the specific way of obtaining the relationship diagram, for example, the relationship diagram between the correction coefficient and the shale organic matter maturity can be obtained from a relationship diagram library, and the relationship diagram can also be directly drawn, so that the description of how to draw the relationship diagram can be described herein, and the drawing method of the relationship diagram shown in fig. 4 comprises the following steps:
step S31: multiple groups of shale samples are obtained, wherein each group of shale samples has different organic matter maturity.
In order to draw a relation graph between the correction coefficient and the shale organic matter maturity, multiple groups of shale samples need to be obtained, and different organic matter maturity exists among the shale samples, wherein the organic matter maturity of the shale samples can be measured through a vitrinite reflectometer.
Step S32: the free hydrocarbon content, shale rock density, shale oil crude oil density, shale oil saturation and effective porosity of each set of shale samples are determined separately.
For the specific implementation manner of this step S32, for example, a certain set of shale samples may be taken as an example, the free hydrocarbon content of the set of shale samples may be determined by rock pyrolysis, the shale rock density of the set of shale samples may be determined by a rock densitometer or other manner, the shale oil crude oil density of the set of shale samples may be determined by a crude oil densitometer or other manner, and the shale oil saturation and the effective porosity of the set of shale samples may be detected by a nuclear magnetic resonance analyzer.
Step S33: and respectively calculating correction coefficients corresponding to each group of shale samples according to a correction coefficient calculation formula and the free hydrocarbon content, shale rock density, shale oil crude oil density, shale oil saturation and effective porosity of each group of shale samples.
For example, the free hydrocarbon content, shale rock density, shale oil crude oil density, shale oil saturation and effective porosity of each group of shale samples can be substituted into the above mentioned correction coefficient calculation formulaThereby calculating the correction coefficient corresponding to the shale samples.
Step S34: and drawing a relation chart by utilizing the organic matter maturity of each group of shale samples and the correction coefficients corresponding to the shale samples.
After calculating the correction coefficients corresponding to the shale samples in each group in the above step S33, in this step S34, the relationship graph may be drawn by using the organic matter maturity of the shale samples in each group and the correction coefficients corresponding to the shale samples, for example, the correction coefficients are taken as abscissa and the correction coefficients are taken as ordinate, so as to draw the relationship graph.
Of course, after the relationship diagram is drawn, the relationship diagram may be further stored in the above-mentioned relationship diagram library, so as to facilitate the subsequent direct acquisition of the relationship diagram from the relationship diagram library.
The embodiment of the application also provides a device for determining the effective oil content of the shale, and for the specific description of the device, reference can be made to corresponding contents in the method if the specific description of the device is unclear. As shown in fig. 4, which is a schematic structural diagram of the apparatus 40, the apparatus 40 includes: a first determination unit 401, a target correction coefficient determination unit 402, and a correction unit 403, wherein:
a first determining unit 401 for determining the organic matter maturity and the free hydrocarbon content of the shale to be evaluated;
a target correction coefficient determining unit 402, configured to determine a target correction coefficient corresponding to the organic matter maturity of the shale to be evaluated;
and the correction unit 403 is used for correcting the free hydrocarbon content of the shale to be evaluated by using the target correction coefficient so as to determine the effective oil content of the shale to be evaluated.
By adopting the device 40 provided in the embodiment of the present application, since the device 40 adopts the same inventive concept as the method for determining the effective oil content of shale provided in the embodiment of the present application, on the premise that the method can solve the technical problem, the device 40 can also solve the technical problem, which is not described herein again.
In addition, in practical application, the technical effects obtained by combining the device 40 with specific hardware devices such as vehicles, cloud technology, etc. are also within the scope of protection of the present application, for example, different units in the device 40 are arranged in different nodes in a distributed cluster manner, or part of units are arranged in a cloud server, etc. so as to improve efficiency and reduce cost.
The target correction factor determination unit 402 may specifically include a target correction factor first determination subunit for determining free hydrocarbon content, shale rock density, shale oil crude oil density, shale oil saturation and effective porosity of the shale to be evaluated; and calculating the target correction coefficient according to a correction coefficient calculation formula and the free hydrocarbon content, shale rock density, shale oil crude oil density, shale oil saturation and effective porosity of the shale to be evaluated.
The calculating the target correction coefficient according to a correction coefficient calculation formula and the free hydrocarbon content, shale rock density, shale oil crude oil density, shale oil saturation and effective porosity of the shale to be evaluated may specifically include: the target correction coefficient is calculated by the following formula: k= (so×Φ× ρo)/(10×ρr×s1);
wherein K is the calculated target correction coefficient; so is shale oil saturation; phi is the effective porosity; ρo is shale oil crude oil density; ρr is shale rock density; s1 is the free hydrocarbon content.
The target correction factor determining unit 402 may specifically include a target correction factor second determining subunit, configured to calculate a target correction factor corresponding to the organic matter maturity of the shale to be evaluated according to the organic matter maturity of the shale to be evaluated and a mathematical relationship model between the correction factor and the organic matter maturity of the shale.
The apparatus 40 may further include a relationship diagram acquisition unit and a mathematical relationship model creation unit, wherein:
the relation diagram acquisition unit is used for acquiring a relation diagram between the correction coefficient and the shale organic matter maturity;
and the mathematical relationship model establishing unit is used for establishing the mathematical relationship model by utilizing the data points in the relationship graph.
The relationship diagram obtaining unit may specifically include a relationship diagram obtaining subunit, configured to obtain a relationship diagram between the correction coefficient and the shale organic matter maturity from a relationship diagram library.
The relation diagram obtaining unit may specifically include a second obtaining subunit of the relation diagram, configured to obtain a plurality of groups of shale samples, where each group of shale samples has a different organic matter maturity; determining the free hydrocarbon content, shale rock density, shale oil crude oil density, shale oil saturation and effective porosity of each group of shale samples respectively; according to a correction coefficient calculation formula and the free hydrocarbon content, shale rock density, shale oil crude oil density, shale oil saturation and effective porosity of each group of shale samples, respectively calculating correction coefficients respectively corresponding to each group of shale samples; and drawing the relation graph by utilizing the organic matter maturity of each group of shale samples and the correction coefficients corresponding to the shale samples.
Calculating a target correction coefficient corresponding to the organic matter maturity of the shale to be evaluated according to the organic matter maturity of the shale to be evaluated and a mathematical relationship model between the correction coefficient and the organic matter maturity of the shale, wherein the calculating the target correction coefficient specifically comprises calculating the target correction coefficient according to the organic matter maturity of the shale to be evaluated and a mathematical relationship model k=f (Ro), wherein the mathematical relationship model k=f (Ro) specifically comprises a piecewise function as follows:
K＝a×Ro+b(Ro<0.8％)
K＝c×e (d×Ro) (0.8％<Ro<1.3％)
K＝m×Ro+n(Ro>1.3％)
wherein K is the calculated target correction coefficient; ro is the organic matter maturity of the shale to be evaluated; a. b, c, d, m and n are preset parameters, respectively.
The correction unit 403 may comprise a correction subunit for calculating the effective oil content by the following formula:
Co＝K×S1；
wherein Co is the calculated effective oil content; k is the target correction coefficient; s1 is the free hydrocarbon content of the shale to be evaluated.
The embodiment of the invention also provides a storage medium, which comprises: a program which, when run on an electronic device on a vehicle, causes the electronic device to perform all or part of the flow of the method in the above-described embodiments. The storage medium may be a magnetic Disk, an optical Disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a Flash Memory (Flash Memory), a Hard Disk (HDD), or a Solid State Drive (SSD), etc. The storage medium may also comprise a combination of memories of the kind described above.
Although embodiments of the present invention have been described in connection with the accompanying drawings, various modifications and variations may be made by those skilled in the art without departing from the spirit and scope of the invention, and such modifications and variations are within the scope of the invention as defined by the appended claims.
Claims (10)
1. A method of determining the effective oil content of shale, comprising:
determining the organic matter maturity and free hydrocarbon content of shale to be evaluated;
determining a target correction coefficient corresponding to the organic matter maturity of the shale to be evaluated;
correcting the free hydrocarbon content of the shale to be evaluated by using the target correction coefficient so as to determine the effective oil content of the shale to be evaluated.
2. The method of claim 1, wherein determining a target correction factor corresponding to the organic matter maturity of the shale to be evaluated, comprises:
determining the free hydrocarbon content, shale rock density, shale oil crude oil density, shale oil saturation and effective porosity of the shale to be evaluated;
and calculating the target correction coefficient according to a correction coefficient calculation formula and the free hydrocarbon content, shale rock density, shale oil crude oil density, shale oil saturation and effective porosity of the shale to be evaluated.
3. The method according to claim 2, wherein calculating the target correction factor according to a correction factor calculation formula and the free hydrocarbon content, shale rock density, shale oil crude oil density, shale oil saturation and effective porosity of the shale to be evaluated, specifically comprises: the target correction coefficient is calculated by the following correction coefficient calculation formula:
wherein K is the calculated target correction coefficient; so is shale oil saturation;is effective porosity; ρ o The density of the shale oil crude oil; ρ r Is shale rock density; s is S 1 Is the free hydrocarbon content.
4. The method of claim 1, wherein determining a target correction factor corresponding to the organic matter maturity of the shale to be evaluated, comprises:
and calculating a target correction coefficient corresponding to the organic matter maturity of the shale to be evaluated according to the organic matter maturity of the shale to be evaluated and a mathematical relation model between the correction coefficient and the organic matter maturity of the shale.
5. The method according to claim 4, wherein the method further comprises:
acquiring a relation diagram between the correction coefficient and the shale organic matter maturity;
and establishing the mathematical relationship model by utilizing the data points in the relationship graph.
6. The method of claim 5, wherein obtaining a graph of the relationship between correction factors and shale organic matter maturity, comprises:
and obtaining a relation diagram between the correction coefficient and the shale organic matter maturity from the relation diagram library.
7. The method of claim 5, wherein obtaining a graph of the relationship between correction factors and shale organic matter maturity, comprises:
obtaining a plurality of groups of shale samples, wherein each group of shale samples has different organic matter maturity;
determining the free hydrocarbon content, shale rock density, shale oil crude oil density, shale oil saturation and effective porosity of each group of shale samples respectively;
according to a correction coefficient calculation formula and the free hydrocarbon content, shale rock density, shale oil crude oil density, shale oil saturation and effective porosity of each group of shale samples, respectively calculating correction coefficients respectively corresponding to each group of shale samples;
and drawing the relation graph by utilizing the organic matter maturity of each group of shale samples and the correction coefficients corresponding to the shale samples.
8. The method of claim 4, wherein calculating a target correction coefficient corresponding to the organic matter maturity of the shale to be evaluated based on the organic matter maturity of the shale to be evaluated and a mathematical relationship model between the correction coefficient and the shale organic matter maturity, specifically comprises calculating the target correction coefficient based on the organic matter maturity of the shale to be evaluated and a mathematical relationship model k=f (Ro), wherein the mathematical relationship model k=f (Ro) specifically comprises a piecewise function as follows:
K＝a×Ro+b(Ro<0.8％)
K＝c×e (d×Ro) (0.8％<Ro<1.3％)
K＝m×Ro+n(Ro>1.3％)
wherein K is the calculated target correction coefficient; ro is the organic matter maturity of the shale to be evaluated; a. b, c, d, m and n are preset parameters, respectively.
9. The method of claim 1, wherein correcting the free hydrocarbon content of the shale to be evaluated using the target correction factor to determine the effective oil content of the shale to be evaluated comprises: the effective oil content is calculated by the following formula:
C o ＝K×S 1 ；
wherein C is o For the calculated effective oil content; k is the target correction coefficient; s is S 1 Is the free hydrocarbon content of the shale to be evaluated.
10. An electronic device, comprising:
a memory for storing a computer program;
a processor for performing the method of any one of claims 1 to 9.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116773771A (en) * | 2023-05-29 | 2023-09-19 | 中国地质调查局油气资源调查中心 | Shale oil evaluation key parameter calculation standard determination method and device and electronic equipment |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103543470A (en) * | 2013-10-18 | 2014-01-29 | 中国石油大学(华东) | Correction method of light and heavy hydrocarbon of free hydrocarbon/residual hydrocarbon S1 in pyrolysis rock |
| CN112630116A (en) * | 2019-10-09 | 2021-04-09 | 中国石油天然气股份有限公司 | Shale organic matter porosity correction method, device and equipment and readable storage medium |
| CN112748143A (en) * | 2019-10-30 | 2021-05-04 | 中国石油天然气股份有限公司 | Shale oil in-situ quantity calculation method |
| CN113379209A (en) * | 2021-05-31 | 2021-09-10 | 中石化经纬有限公司胜利测井公司 | Shale oil saturation evaluation method based on geochemical pyrolysis correction |
| CN115061199A (en) * | 2022-06-07 | 2022-09-16 | 中国地质调查局油气资源调查中心 | Method and device for calculating loss amount and movable hydrocarbon amount of continental facies shale oil light hydrocarbon |
| US20230053348A1 (en) * | 2021-08-23 | 2023-02-23 | China University Of Petroleum-Beijing | Method and apparatus for evaluating volumes of discharged hydrocarbon and externally charged hydrocarbon in mud shale |
| CN116008028A (en) * | 2022-12-16 | 2023-04-25 | 中国石油大学(北京) | Shale oil content parameter S 1 Light hydrocarbon compensation correction method |
-
2023
- 2023-05-16 CN CN202310552006.9A patent/CN116504326B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103543470A (en) * | 2013-10-18 | 2014-01-29 | 中国石油大学(华东) | Correction method of light and heavy hydrocarbon of free hydrocarbon/residual hydrocarbon S1 in pyrolysis rock |
| CN112630116A (en) * | 2019-10-09 | 2021-04-09 | 中国石油天然气股份有限公司 | Shale organic matter porosity correction method, device and equipment and readable storage medium |
| CN112748143A (en) * | 2019-10-30 | 2021-05-04 | 中国石油天然气股份有限公司 | Shale oil in-situ quantity calculation method |
| CN113379209A (en) * | 2021-05-31 | 2021-09-10 | 中石化经纬有限公司胜利测井公司 | Shale oil saturation evaluation method based on geochemical pyrolysis correction |
| US20230053348A1 (en) * | 2021-08-23 | 2023-02-23 | China University Of Petroleum-Beijing | Method and apparatus for evaluating volumes of discharged hydrocarbon and externally charged hydrocarbon in mud shale |
| CN115061199A (en) * | 2022-06-07 | 2022-09-16 | 中国地质调查局油气资源调查中心 | Method and device for calculating loss amount and movable hydrocarbon amount of continental facies shale oil light hydrocarbon |
| CN116008028A (en) * | 2022-12-16 | 2023-04-25 | 中国石油大学(北京) | Shale oil content parameter S 1 Light hydrocarbon compensation correction method |
Non-Patent Citations (4)
| Title |
|---|
| KRZYSZTOF SOWIŻDŻAŁ 等: "Estimation of the Oil-in-Place Resources in the Liquid-Rich Shale Formations Exploiting Geochemical and Petrophysical Data in a 3D High-Resolution Geological Model Domain: Baltic Basin Case Study", 《GEOFLUIDS》, pages 1 - 14 * |
| 宋立春: "油气层录井的精细解释方法——以吉林探区为例", 《世界地质》, vol. 28, no. 1, pages 92 - 97 * |
| 薛海涛 等: "页岩油资源定量评价中关键参数的选取与校正 ———以松辽盆地北部青山口组为例", 《矿物岩石地球化学通报》, vol. 34, no. 1, pages 70 - 78 * |
| 薛海涛 等: "页岩油资源评价关键参数――含油率的校正", 《石油与天然气地质》, vol. 37, no. 1, pages 15 - 22 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116773771A (en) * | 2023-05-29 | 2023-09-19 | 中国地质调查局油气资源调查中心 | Shale oil evaluation key parameter calculation standard determination method and device and electronic equipment |
| CN116773771B (en) * | 2023-05-29 | 2024-02-02 | 中国地质调查局油气资源调查中心 | Shale oil evaluation parameter calculation standard determination method and device and electronic equipment |
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