CN114352257B - Characterization method and device for core permeability - Google Patents

Characterization method and device for core permeability Download PDF

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CN114352257B
CN114352257B CN202111584700.6A CN202111584700A CN114352257B CN 114352257 B CN114352257 B CN 114352257B CN 202111584700 A CN202111584700 A CN 202111584700A CN 114352257 B CN114352257 B CN 114352257B
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throat
pore
core
permeability
core permeability
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CN114352257A (en
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王涛
李敬松
马东旭
刘汝敏
孙永涛
刘会胜
田苗
魏志鹏
朱旭晨
王金伟
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China Oilfield Services Ltd
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China Oilfield Services Ltd
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Abstract

The invention relates to a characterization method and a device of core permeability, wherein the method comprises the following steps: simplifying pore channels and throats in a core penetration channel; based on the simplified pore canal and throat, establishing a core permeability model; and quantitatively analyzing the influence of the pore canal and the throat on the core permeability based on the core permeability model. According to the method, the contribution rate of the pore canal and throat characteristics to the core permeability is quantitatively analyzed, so that the influence of the pore canal and throat distribution characteristics on the core permeability is quantitatively analyzed, and an analysis basis can be provided for oil reservoir productivity prediction and yield increase measures.

Description

Characterization method and device for core permeability
Technical Field
The invention relates to the technical field of oil reservoir development, in particular to a characterization method, a device, computing equipment and a computer storage medium of core permeability.
Background
Pore throats refer to channels with relatively narrow interconnections between pores in a rock mass, and the size of pore throats often has a great influence on permeability. At present, a method for quantitatively analyzing the influence of hole-throat ratio on core permeability firstly utilizes a digital core technology to determine core hole-throat distribution characteristics, and then quantitatively describes the influence relationship between the hole-throat distribution characteristics and the core permeability through a mathematical method. The research on the influence of the characteristics of the pore throats in the core on the core permeability is beneficial to the mechanism analysis in the aspect of productivity, and can provide basis for the implementation of the stimulation measures such as acidification, fracturing, functional agent injection and the like.
In the prior art, methods for describing the microstructure characteristics of the reservoir microscopic pores mainly comprise the following steps: 1) The two-dimensional visual experimental method is characterized in that microscopic pore plane characteristics in the rock core are analyzed mainly through technical means such as an optical microscope, an electron microscope and the like, and the method is limited by a two-dimensional observation technology, so that the difference between an observation result and real pore distribution characteristics is larger, and particularly the error of the method is larger for rock samples with higher non-uniform pore distribution degree; 2) The experimental methods of mercury-pressing, nitrogen adsorption, nuclear magnetic resonance and the like cannot reflect the spatial distribution information of pore structures, and in the aspect of quantitative analysis, a capillary bundle model (the capillary bundle model regards a pore network of an actual porous medium as being composed of a group of capillaries with equal length and unequal diameters, the model is most widely applied to oil layer physics and seepage mechanics, and is based on the graph shown in fig. 1, and the analysis process cannot reflect the influence of pore throat characteristics on the permeability).
Disclosure of Invention
The present invention has been made in view of the above problems, and it is therefore an object of the present invention to provide a method, apparatus, computing device and computer storage medium for characterizing core permeability that overcomes or at least partially solves the above problems.
According to one aspect of the present invention, there is provided a method for characterizing core permeability, including:
simplifying pore channels and throats in a core penetration channel;
based on the simplified pore canal and throat, establishing a core permeability model; and
based on the core permeability model, the influence of the pore canal and the throat on the core permeability is quantitatively analyzed.
Optionally, simplifying the tunnels and throats in the core penetration passage further comprises:
and simplifying a pore canal and a throat in the core permeation channel into a pore-throat tandem minimum unit and establishing a permeability tandem model.
Optionally, based on the simplified tunnel and throat, building the core permeability model further includes:
and characterizing the influence of the pore canal and the throat on the core permeability based on the permeability series model, and establishing a core permeability model based on the influence of the pore canal and the throat on the core permeability.
Optionally, based on the core permeability model, quantitatively analyzing the effect of the pore canal and the throat on the core permeability further includes:
based on the core permeability model, the influence of the radius change of the pore canal and the throat and the distribution characteristics of the pore canal and the throat in the seepage direction on the core permeability is quantitatively analyzed.
Optionally, simplifying the tunnels and throats in the core penetration passage further comprises:
and determining the radius distribution of the pore canal and the throat and the pore-throat ratio by a digital core technology.
Optionally, the characterization method further comprises:
comparing the pore-throat ratio with a preset threshold value, and if the pore-throat ratio is smaller than or equal to the preset threshold value, adopting a capillary bundle model to represent the core permeability:
wherein r is the radius of the capillary bundle, and K is the core permeability.
Optionally, based on the simplified tunnel and throat, building the core permeability model further includes:
comparing the pore-throat ratio with a preset threshold, and if the pore-throat ratio is larger than the preset threshold, characterizing the core permeability through the following formula:
wherein L is 1 、L 2 Seepage length of throat and duct respectivelyA degree; k (K) 1 Is the throat permeability; k (K) 2 Is the pore channel permeability.
According to another aspect of the present invention, there is provided a core permeability characterization apparatus, comprising:
the simplifying module is suitable for simplifying the pore canal and the throat in the core penetration channel;
the model building module is suitable for building a core permeability model based on the simplified pore canal and the throat; and
the quantitative analysis module is suitable for quantitatively analyzing the influence of the pore canal and the throat on the core permeability based on the core permeability model.
According to yet another aspect of the present invention, there is provided a computing device comprising: the device comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface are communicated with each other through the communication bus;
the memory is used for storing at least one executable instruction, and the executable instruction enables the processor to execute the operation corresponding to the characterization method of the core permeability.
According to still another aspect of the present invention, there is provided a computer storage medium, where at least one executable instruction is stored, the executable instruction causing a processor to perform operations corresponding to the method for characterizing core permeability as described above.
According to the characterization method of the core permeability, the pore canal and the throat in the core permeation channel are simplified; based on the simplified pore canal and throat, establishing a core permeability model; and based on the core permeability model, the influence of the pore canal and the throat on the core permeability is quantitatively analyzed, the method is simple and rapid, the contribution rate of the pore canal and the throat characteristics on the core permeability is quantitatively analyzed, the influence of the pore canal and the throat distribution characteristics on the core permeability is quantitatively analyzed, and an analysis basis can be provided for reservoir productivity prediction and yield increase measures.
The foregoing description is only an overview of the present invention, and is intended to be implemented in accordance with the teachings of the present invention in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present invention more readily apparent.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to designate like parts throughout the figures. In the drawings:
FIG. 1 shows a schematic diagram of a prior art capillary bundle model;
fig. 2 is a schematic flow chart of a method for characterizing core permeability according to an embodiment of the present invention;
FIG. 3 shows a simplified tunnel and throat schematic of a first embodiment of the invention;
FIG. 4 is a schematic view showing the effect of pore radius variation on core permeability according to the first embodiment of the present invention;
fig. 5 shows a schematic structural diagram of a core permeability characterization device according to a second embodiment of the present invention; and
fig. 6 shows a schematic structural diagram of a computing device according to a third embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present invention are shown in the drawings, it should be understood that the present invention may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
Example 1
Fig. 2 is a schematic flow chart of a method for characterizing core permeability according to an embodiment of the present invention. As shown in fig. 2, the method includes:
step S210, simplifying pore channels and throats in the core permeation channel.
Specifically, core permeate through to be characterizedThe duct and throat in the channel are simplified to be the pore-throat tandem minimum unit, and a permeability tandem model is built based on the simplified pore-throat tandem minimum unit, and FIG. 3 shows a schematic diagram of the simplified duct and throat according to the first embodiment of the present invention, wherein R is represented 1 Throat radius, R 2 Represents the radius of the pore canal, L 1 Is the seepage length and L of the throat 2 Is the seepage length of the pore canal and is based on the throat radius R 1 Seepage length L of throat 1 Radius R of pore canal 2 Seepage length L of pore canal 2 And establishing a permeability series model.
Step S220, a core permeability model is built based on the simplified pore canal and the throat.
And (2) characterizing the influence of the pore canal and the throat on the core permeability based on the permeability series model established in the step S210, and establishing a core permeability model based on the influence of the pore canal and the throat on the core permeability.
And step S230, quantitatively analyzing the influence of the pore canal and the throat on the core permeability based on the core permeability model.
Based on the core permeability model established in the step S220, the influence of the radius change of the pore canal and the throat and the distribution characteristics of the pore canal and the throat in the seepage direction on the core permeability is quantitatively analyzed.
In an alternative embodiment, step S210 further includes the step of determining the radial distribution of the tunnels and throats and determining the pore-to-throat ratio by digital core techniques. Specifically, the radius distribution of the pore canal and the throat inside the core is described through a digital core technology, and the radius ratio of the pore canal to the throat, namely the pore-throat ratio, is determined.
Comparing the determined pore-throat ratio with a preset threshold, and if the pore-throat ratio is smaller than or equal to the preset threshold, adopting a capillary bundle model to represent the core permeability:
wherein r is the radius of the capillary bundle, and K is the core permeability.
Specifically, in the present embodiment, the preset threshold value is set to 10, and the preset threshold value may be specifically set according to the specific situation, without limitation.
If the pore-throat ratio is less than or equal to 10, the capillary bundle model is selected to be adopted to represent the core permeability.
If the pore-throat ratio is greater than the preset threshold 10, the core permeability is characterized by the following formula:
wherein L is 1 、L 2 The seepage lengths of the throat and the pore canal are respectively; k (K) 1 Is the throat permeability; k (K) 2 Is the pore channel permeability.
Wherein the core length L is the seepage length L of the throat 1 And the seepage length L of the pore canal 2 The sum of, i.e
L=L 1 +L 2 (3)
According to the calculation formula (1) of the capillary bundle model, the throat permeability K can be obtained respectively 1 Radius R of throat 1 Corresponding relation of (formula (4)), cell permeability K 2 And the radius R of the pore canal 2 Corresponding relation of (formula (5))
Combining equations (2), (3), (4) and (5) to obtain core permeability K R Length of seepage L of the pore canal 2 Seepage length L of throat 1 Radius R of pore canal 2 Radius of throat R 1 Corresponding relation of (a), i.e.)
The specific influence of different distribution characteristics of the pore canal and the throat on the core permeability can be simply, conveniently and quickly analyzed based on the formula (6) of the embodiment. A specific application of the method for characterizing core permeability of the present embodiment will be described below by way of specific example.
Assuming that the throat radius inside a certain core is R 1 The influence of the channel radius change on the core permeability under different throat seepage length conditions can be calculated respectively through the formula (6) derived by the core permeability characterization method of the embodiment, and the influence of the distribution characteristics of the channel and the throat on the core permeability can be drawn by corresponding curves for quantitative description.
Specifically, FIG. 4 shows the cell radius R of the first embodiment of the present invention 2 The effect of the change on core permeability is schematically shown. In the present example, the pore radius R under different throat seepage length conditions is described by curves l, m and n respectively 2 The effect of the variation on core permeability, wherein curve L describes the percolation length L of the throat 1 Seepage length L of 1cm and pore canal 2 At 4cm, the core permeability is along with the radius R of the pore canal 2 As can be seen from curve l, at the cell radius R 2 Core permeability with pore radius R before less than 10um (i.e. pore-throat ratio less than 10) 2 Is rapidly increased at the radius R of the duct 2 After the core permeability is more than or equal to 10um (namely the pore-throat ratio is more than or equal to 10), the core permeability is in a gentle state; curve m describes the percolation length L of the throat 1 Seepage length L of 2cm and pore canal 2 At 2cm, the core permeability is along with the radius R of the pore canal 2 As can be seen from curve m, at cell radius R 2 Core permeability is dependent on pore radius R before less than 5um (i.e. pore-throat ratio is less than 5) 2 Is rapidly increased at the radius R of the duct 2 After the core permeability is more than or equal to 5um (namely the pore-throat ratio is more than or equal to 5), the core permeability is in a gentle state; curve n describes the percolation length L of the throat 1 Seepage length L of 4cm and pore canal 2 When the core permeability is 1cm, the core permeability is along with the radius R of the pore canal 2 As can be seen from curve n, at cell radius R 2 Less thanBefore 5um (i.e. pore-throat ratio is less than 5), the core permeability follows the pore radius R 2 Is rapidly increased at the radius R of the duct 2 After the core permeability is more than or equal to 5um (namely, the pore-throat ratio is more than or equal to 5), the core permeability is in a gentle state.
As can be seen from comprehensive analysis curves L, m and n, when the pore-throat ratio is greater than or equal to 10, the core permeability change is small, and the pore path length L 2 The smaller the ratio in the core seepage channel, the smaller the pore-throat ratio when the core permeability reaches a gentle state.
In addition, L in FIG. 4 1 /L 2 The ratio of the number of the throats to the number of the pore channels in the seepage passage can be reflected, the rock core permeability can be rapidly increased along with the increase of the number of the pore channels with larger radius in the rock sample, and the rock core permeability is characterized by nonlinear growth, so that the influence of the number of the large pore channels on the rock core permeability is larger. Based on the example, the characterization method of the core permeability of the embodiment simply, conveniently and rapidly realizes quantitative analysis of specific influences of different distribution characteristics of the pore canal and the throat on the core permeability.
Therefore, according to the characterization method of the core permeability, the contribution rate of the pore canal and throat characteristics to the core permeability is quantitatively analyzed, the influence of the pore canal and throat distribution characteristics on the core permeability is quantitatively analyzed, and an analysis basis can be provided for reservoir productivity prediction and yield increase measures.
Example two
Fig. 5 shows a schematic structural diagram of a core permeability characterization apparatus 500 according to a second embodiment of the present invention. As shown in fig. 5, the apparatus 500 includes: a simplification module 510, a model creation module 520, and a quantitative analysis module 530.
A simplification module 510 adapted to simplify the tunnels and throats in the core penetration passage;
the model building module 520 is adapted to build a core permeability model based on the simplified tunnel and throat; and
the quantitative analysis module 530 is adapted to quantitatively analyze the influence of the pore canal and the throat on the core permeability based on the core permeability model.
In an alternative embodiment, the simplification module 510 is further adapted to:
and simplifying a pore canal and a throat in the core permeation channel into a pore-throat tandem minimum unit and establishing a permeability tandem model.
In an alternative embodiment, the model building module 520 is further adapted to:
and characterizing the influence of the pore canal and the throat on the core permeability based on the permeability series model, and establishing a core permeability model based on the influence of the pore canal and the throat on the core permeability.
In an alternative embodiment, the quantitative analysis module 530 is further adapted to:
based on the core permeability model, the influence of the radius change of the pore canal and the throat and the distribution characteristics of the pore canal and the throat in the seepage direction on the core permeability is quantitatively analyzed.
In an alternative embodiment, the simplification module 510 is further adapted to:
and determining the radius distribution of the pore canal and the throat through a digital core technology and determining the pore-throat ratio.
In an alternative embodiment, the characterization device 500 is further adapted for:
comparing the pore-throat ratio with a preset threshold value, and if the pore-throat ratio is smaller than or equal to the preset threshold value, adopting a capillary bundle model to represent the core permeability:
wherein r is the radius of the capillary bundle, and K is the core permeability.
In an alternative embodiment, the model building module 520 is further adapted to:
comparing the pore-throat ratio with a preset threshold, and if the pore-throat ratio is larger than the preset threshold, characterizing the core permeability through the following formula:
wherein L is 1 、L 2 The seepage lengths of the throat and the pore canal are respectively; k (K) 1 Is the throat permeability; k (K) 2 Is the pore channel permeability.
Therefore, according to the characterization device for the core permeability, provided by the embodiment, the contribution rate of the pore canal and throat characteristics to the core permeability is quantitatively analyzed, the influence of the pore canal and throat distribution characteristics on the core permeability is quantitatively analyzed, and an analysis basis can be provided for oil reservoir productivity prediction and yield increase measures.
Example III
According to a third embodiment of the present invention, there is provided a non-volatile computer storage medium, where at least one executable instruction is stored, the computer executable instruction being capable of performing the method according to any of the above-described method embodiments.
The executable instructions may be particularly useful for causing a processor to:
simplifying pore channels and throats in a core penetration channel;
based on the simplified pore canal and throat, establishing a core permeability model; and
based on the core permeability model, the influence of the pore canal and the throat on the core permeability is quantitatively analyzed.
In an alternative embodiment, the executable instructions may be specifically configured to cause a processor to:
and simplifying a pore canal and a throat in the core permeation channel into a pore-throat tandem minimum unit and establishing a permeability tandem model.
In an alternative embodiment, the executable instructions may be specifically configured to cause a processor to:
and characterizing the influence of the pore canal and the throat on the core permeability based on the permeability series model, and establishing a core permeability model based on the influence of the pore canal and the throat on the core permeability.
In an alternative embodiment, the executable instructions may be specifically configured to cause a processor to:
based on the core permeability model, the influence of the radius change of the pore canal and the throat and the distribution characteristics of the pore canal and the throat in the seepage direction on the core permeability is quantitatively analyzed.
In an alternative embodiment, the executable instructions may be specifically configured to cause a processor to:
and determining the radius distribution of the pore canal and the throat and the pore-throat ratio by a digital core technology.
In an alternative embodiment, the executable instructions may be specifically configured to cause a processor to:
comparing the pore-throat ratio with a preset threshold value, and if the pore-throat ratio is smaller than or equal to the preset threshold value, adopting a capillary bundle model to represent the core permeability:
wherein r is the radius of the capillary bundle, and K is the core permeability.
In an alternative embodiment, the executable instructions may be specifically configured to cause a processor to:
comparing the pore-throat ratio with a preset threshold, and if the pore-throat ratio is larger than the preset threshold, characterizing the core permeability through the following formula:
wherein L is 1 、L 2 The seepage lengths of the throat and the pore canal are respectively; k (K) 1 Is the throat permeability; k (K) 2 Is the pore channel permeability.
Therefore, according to the characterization method of the core permeability, provided by the embodiment, the contribution rate of the pore canal and throat characteristics to the core permeability is simply, conveniently and rapidly analyzed quantitatively, the influence of the pore canal and throat distribution characteristics on the core permeability is realized quantitatively, and an analysis basis can be provided for reservoir productivity prediction and yield increase measures.
Example IV
Fig. 6 is a schematic structural diagram of a computing device according to a fourth embodiment of the present invention, and the specific embodiment of the present invention is not limited to the specific implementation of the computing device.
As shown in fig. 6, the computing device may include: a processor 602, a communication interface (Communications Interface), a memory 606, and a communication bus 608.
Wherein: processor 602, communication interface 604, and memory 606 perform communication with each other via communication bus 608. Communication interface 604 is used to communicate with network elements of other devices, such as clients or other servers. The processor 602 is configured to execute the program 610, and may specifically perform relevant steps in the above-described embodiment of the commodity recommendation method.
In particular, program 610 may include program code including computer-operating instructions.
The processor 602 may be a central processing unit CPU or a specific integrated circuit ASIC (Application Specific Integrated Circuit) or one or more integrated circuits configured to implement embodiments of the present invention. The one or more processors included by the computing device may be the same type of processor, such as one or more CPUs; but may also be different types of processors such as one or more CPUs and one or more ASICs.
A memory 606 for storing a program 610. The memory 606 may comprise high-speed RAM memory or may further comprise non-volatile memory (non-volatile memory), such as at least one disk memory.
The program 610 may be specifically operable to cause the processor 602 to:
simplifying pore channels and throats in a core penetration channel;
based on the simplified pore canal and throat, establishing a core permeability model; and
based on the core permeability model, the influence of the pore canal and the throat on the core permeability is quantitatively analyzed.
In an alternative embodiment, program 610 may be specifically configured to cause processor 602 to:
and simplifying a pore canal and a throat in the core permeation channel into a pore-throat tandem minimum unit and establishing a permeability tandem model.
In an alternative embodiment, program 610 may be specifically configured to cause processor 602 to:
and characterizing the influence of the pore canal and the throat on the core permeability based on the permeability series model, and establishing a core permeability model based on the influence of the pore canal and the throat on the core permeability.
In an alternative embodiment, program 610 may be specifically configured to cause processor 602 to:
based on the core permeability model, the influence of the radius change of the pore canal and the throat and the distribution characteristics of the pore canal and the throat in the seepage direction on the core permeability is quantitatively analyzed.
In an alternative embodiment, program 610 may be specifically configured to cause processor 602 to:
and determining the radius distribution of the pore canal and the throat and the pore-throat ratio by a digital core technology.
In an alternative embodiment, program 610 may be specifically configured to cause processor 602 to:
comparing the pore-throat ratio with a preset threshold value, and if the pore-throat ratio is smaller than or equal to the preset threshold value, adopting a capillary bundle model to represent the core permeability:
wherein r is the radius of the capillary bundle, and K is the core permeability.
In an alternative embodiment, program 610 may be specifically configured to cause processor 602 to:
comparing the pore-throat ratio with a preset threshold, and if the pore-throat ratio is larger than the preset threshold, characterizing the core permeability through the following formula:
wherein L is 1 、L 2 The seepage lengths of the throat and the pore canal are respectively; k (K) 1 Is the throat permeability; k (K) 2 Is the pore channel permeability.
Therefore, according to the characterization method of the core permeability, provided by the embodiment, the contribution rate of the pore canal and throat characteristics to the core permeability is simply, conveniently and rapidly analyzed quantitatively, the influence of the pore canal and throat distribution characteristics on the core permeability is realized quantitatively, and an analysis basis can be provided for reservoir productivity prediction and yield increase measures.
The algorithms or displays presented herein are not inherently related to any particular computer, virtual system, or other apparatus. Various general-purpose systems may also be used with the teachings herein. The required structure for a construction of such a system is apparent from the description above. In addition, embodiments of the present invention are not directed to any particular programming language. It will be appreciated that the teachings of the present invention described herein may be implemented in a variety of programming languages, and the above description of specific languages is provided for disclosure of enablement and best mode of the present invention.
In the description provided herein, numerous specific details are set forth. However, it is understood that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the above description of exemplary embodiments of the invention, various features of the embodiments of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be construed as reflecting the intention that: i.e., the claimed invention requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.
Those skilled in the art will appreciate that the modules in the apparatus of the embodiments may be adaptively changed and disposed in one or more apparatuses different from the embodiments. The modules or units or components of the embodiments may be combined into one module or unit or component and, furthermore, they may be divided into a plurality of sub-modules or sub-units or sub-components. Any combination of all features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or units of any method or apparatus so disclosed, may be used in combination, except insofar as at least some of such features and/or processes or units are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings), may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
Furthermore, those skilled in the art will appreciate that while some embodiments herein include some features but not others included in other embodiments, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments can be used in any combination.
Various component embodiments of the invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that some or all of the functionality of some or all of the components according to embodiments of the present invention may be implemented in practice using a microprocessor or Digital Signal Processor (DSP). The present invention can also be implemented as an apparatus or device program (e.g., a computer program and a computer program product) for performing a portion or all of the methods described herein. Such a program embodying the present invention may be stored on a computer readable medium, or may have the form of one or more signals. Such signals may be downloaded from an internet website, provided on a carrier signal, or provided in any other form.
It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The use of the words first, second, third, etc. do not denote any order. These words may be interpreted as names. The steps in the above embodiments should not be construed as limiting the order of execution unless specifically stated.

Claims (7)

1. A method for characterizing core permeability, comprising:
simplifying pore channels and throats in a core penetration channel; specifically, determining the radius distribution of a pore canal and a throat and the pore-throat ratio by a digital core technology;
based on the simplified pore canal and the throat, establishing a core permeability model; specifically, comparing the pore-throat ratio with a preset threshold, and if the pore-throat ratio is smaller than or equal to the preset threshold, adopting a capillary bundle model to represent the core permeability:
wherein,ras a bundle of hairThe radius of the circular arc is set to be equal to the radius,Kis core permeability;
if the pore-throat ratio is greater than a preset threshold, the core permeability is characterized by the following formula:
wherein,L 1L 2 the seepage lengths of the throat and the pore canal are respectively;K 1 is the throat permeability;K 2 is the pore channel permeability; and
and quantitatively analyzing the influence of the pore canal and the throat on the core permeability based on the core permeability model.
2. The characterization method of claim 1, wherein the ports and throat in the simplified core penetration channel further comprise:
and simplifying a pore canal and a throat in the core permeation channel into a pore-throat tandem minimum unit and establishing a permeability tandem model.
3. The characterization method of claim 2, wherein the modeling the core permeability based on the simplified tunnel and the throat further comprises:
and characterizing the influence of the pore canal and the throat on the core permeability based on the permeability series model, and establishing a core permeability model based on the influence of the pore canal and the throat on the core permeability.
4. The characterization method of claim 1, wherein the quantifying the effect of the tunnels and the throat on core permeability based on the core permeability model further comprises:
and quantitatively analyzing the influence of the radius change of the pore canal and the throat and the distribution characteristics of the pore canal and the throat in the seepage direction on the core permeability based on the core permeability model.
5. A core permeability characterization device, comprising:
the simplifying module is suitable for simplifying the pore canal and the throat in the core penetration channel; specifically, determining the radius distribution of a pore canal and a throat and the pore-throat ratio by a digital core technology;
the model building module is suitable for building a core permeability model based on the simplified pore canal and the throat; specifically, comparing the pore-throat ratio with a preset threshold, and if the pore-throat ratio is smaller than or equal to the preset threshold, adopting a capillary bundle model to represent the core permeability:
wherein,ris the radius of the capillary bundle,Kis core permeability;
if the pore-throat ratio is greater than a preset threshold, the core permeability is characterized by the following formula:
wherein,L 1L 2 the seepage lengths of the throat and the pore canal are respectively;K 1 is the throat permeability;K 2 is the pore channel permeability; and
and the quantitative analysis module is suitable for quantitatively analyzing the influence of the pore canal and the throat on the core permeability based on the core permeability model.
6. A computing device, comprising: the device comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete communication with each other through the communication bus;
the memory is configured to store at least one executable instruction, where the executable instruction causes the processor to perform operations corresponding to the method for characterizing core permeability as defined in any one of claims 1 to 4.
7. A computer storage medium having stored therein at least one executable instruction that causes a processor to perform operations corresponding to the method of characterizing core permeability as defined in any one of claims 1-4.
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