Pore fractal dimension determination method, device, equipment, medium and program product

Abstract

The invention provides a pore fractal dimension determination method, device and equipment, a medium and a program product, and the method comprises the steps: determining pore size distribution data based on a microscopic image of a shale surface random region; determining a target pore fractal dimension based on the pore size distribution data and a cumulative size distribution algorithm; and performing representative inspection on the target pore fractal dimension, and determining that the target pore fractal dimension is the shale pore fractal dimension under the condition that the inspection is passed. According to the method, the pore size distribution data of the shale are determined by analyzing the microscopic image of the random area on the surface of the shale. And based on the shale pore size distribution data and an accumulative size distribution algorithm, determining a target pore fractal dimension, and performing representative inspection on the obtained target pore fractal dimension. The technical problem that the shale pore fractal dimension cannot be accurately obtained due to the scheme that when the pore fractal dimension is calculated through an existing pore cumulative size distribution algorithm, the shale section part vision field is only randomly selected for microscopic analysis is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of image data processing, and in particular to a method, device, equipment, medium and program product for determining pore fractal dimension. Background Art

[0002] Quantitative study of shale pores using microscopic observations and in-depth analysis of the fractal characteristics of shale pores can provide an important reference for the efficient exploration and development of shale oil and gas. Based on microscopic observation technology, there are currently algorithms that can perform fractal analysis on the pores of two-dimensional cross-sections of shale samples. Among them, the pore cumulative size distribution algorithm requires the acquisition of the total number of pores in all cross-sections of shale, as well as the pore size distribution data to calculate the fractal dimension of shale pores. However, detailed microscopic analysis is time-consuming and laborious, and randomly selecting shale cross-sections for microscopic analysis has limited errors in small-scale pore fractal analysis, but increases errors in large-scale pore fractal analysis. Therefore, how to accurately obtain the fractal dimension of shale pores has become a technical problem that needs to be solved urgently. Summary of the invention

[0003] The present invention provides a pore fractal dimension determination method, device, equipment, medium and program product, which are used to solve the defect of inaccurate pore fractal dimension calculation in existing pore fractal dimension analysis methods, and realize accurate calculation of shale pore fractal dimension.

[0004] The present invention provides a method for determining pore fractal dimension, comprising the following steps.

[0005] Determine pore size distribution data based on microscopic images of random areas on the shale surface; Determining a target pore fractal dimension based on the pore size distribution data and the cumulative size distribution algorithm; A representative test is performed on the target pore fractal dimension, and if the test passes, the target pore fractal dimension is determined to be the shale pore fractal dimension.

[0006] According to a method for determining a pore fractal dimension provided by the present invention, determining a target pore fractal dimension based on the pore size distribution data and the cumulative size distribution algorithm comprises: determining a target variable and an image maximum pore diameter based on the pore size distribution data; Determine a target aperture interval based on the target variable and the maximum aperture of the image, and determine a first aperture interval based on the target variable; A target pore fractal dimension is determined according to the target pore size interval, the first pore size interval and a cumulative size distribution algorithm.

[0007] According to a method for determining a pore fractal dimension provided by the present invention, determining a target pore fractal dimension according to the target pore size interval, the first pore size interval and a cumulative size distribution algorithm comprises: Based on the target aperture interval and the first aperture interval, adding a fractal dimension assumption value to an adjustment item of a cumulative size distribution algorithm; Determine the fractal dimension response value corresponding to the fractal dimension hypothesis value by regression analysis; The target pore fractal dimension is determined based on a two-dimensional variable relationship diagram drawn based on the fractal dimension assumption value and the fractal dimension response value.

[0008] According to a method for determining a pore fractal dimension provided by the present invention, the two-dimensional variable relationship diagram drawn based on the fractal dimension assumption value and the fractal dimension response value, determining the target pore fractal dimension comprises: Determine a target curve corresponding to the fractal dimension assumption value and the fractal dimension response value, and a target straight line where the fractal dimension assumption value is equal to the fractal dimension response value; Determining a target value range corresponding to the fractal dimension hypothesis value; Based on the target curve, the target straight line and the target value range, a target pore fractal dimension is determined.

[0009] According to a method for determining a pore fractal dimension provided by the present invention, the representative test is performed on the target pore fractal dimension, and if the test passes, determining the target pore fractal dimension as the shale pore fractal dimension comprises: Based on microscopic images of random areas on the shale surface, the cumulative observation area was determined; Determine a target two-dimensional variable relationship diagram of the target pore fractal dimension and the cumulative observation area; Based on the relationship diagram between the cumulative observed area and the target two-dimensional variable, a representative test is performed on the target pore fractal dimension; When it is determined that the test passes based on the relationship diagram between the cumulative observed area and the target two-dimensional variable, the target pore fractal dimension is determined to be the shale pore fractal dimension.

[0010] According to a method for determining pore fractal dimension provided by the present invention, the step of determining a target two-dimensional variable relationship diagram between the target pore fractal dimension and the cumulative observation area comprises: Determining a fluctuation value of the target pore fractal dimension based on the target two-dimensional variable relationship diagram; Determine the fluctuation value within the continuous interval that is less than the target threshold as the target fluctuation value; When the cumulative observation area corresponding to the target fluctuation value is greater than the first threshold, it is determined that the representativeness test of the target pore fractal dimension has passed.

[0011] The present invention also provides a device for determining pore fractal dimension, comprising the following modules: A pore size distribution data determination module, for determining pore size distribution data based on a microscopic image of a random area on the shale surface; A target pore fractal dimension determination module, used to determine the target pore fractal dimension based on the pore size distribution data and the cumulative size distribution algorithm; The representative inspection module is used to perform a representative inspection on the target pore fractal dimension, and if the inspection passes, determine that the target pore fractal dimension is a shale pore fractal dimension.

[0012] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, any of the above-mentioned methods for determining the pore fractal dimension is implemented.

[0013] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the method for determining the pore fractal dimension as described in any one of the above is implemented.

[0014] The present invention also provides a computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the method for determining the pore fractal dimension as described above is implemented.

[0015] The pore fractal dimension determination method, device, equipment, medium and program product provided by the present invention determine the shale pore size distribution data by analyzing the microscopic image of random areas on the shale surface. Based on the shale pore size distribution data and the cumulative size distribution algorithm, the target pore fractal dimension is determined, and a representative test is performed on the obtained target pore fractal dimension. The technical problem that the existing solution of calculating the pore fractal dimension only randomly selects a part of the shale cross section for microscopic analysis and cannot accurately obtain the shale pore fractal dimension is solved. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0017] Figure 1It is one of the flow charts of the method for determining the pore fractal dimension provided by the present invention.

[0018] Figure 2 This is the second flow chart of the method for determining the pore fractal dimension provided by the present invention.

[0019] Figure 3 It is a structural schematic diagram of the device for determining the pore fractal dimension provided by the present invention.

[0020] Figure 4 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0021] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0022] Combine the following Figure 1-Figure 4 The present invention describes the method, device, apparatus, medium and program product for determining pore fractal dimension.

[0023] Figure 1 is one of the flow charts of the method for determining the pore fractal dimension provided by the present invention, such as Figure 1 As shown, the method includes the following: Step 100, determining pore size distribution data based on a microscopic image of a random area on the shale surface; Specifically, in order to solve the problem of large errors in the calculation results of pore fractal dimension when randomly selecting shale interfaces for microscopic analysis, the present invention improves the accuracy of shale pore fractal dimension calculation through a new pore cumulative size distribution algorithm. First, a microscopic image of a random area on the shale surface is obtained, and the number of pores is extracted to determine the pore size distribution data.

[0024] The specific process is as follows: Step 1: Mechanical polishing and argon ion polishing are performed on the shale surface respectively, so that the shale surface forms a highly flat plane in the non-porous area to meet the requirements of pore microscopic observation.

[0025] Step 2: Microscopically image random fields on the shale surface through microscopic observation, and record the cumulative microscopic observation area; the microscopic observation includes but is not limited to scanning electron microscopy and helium ion microscopy.

[0026] Step 3: Binarize the microscopic image and extract the pore area, pore quantity and pore size distribution data in the microscopic image based on the grayscale; pore size refers to a parameter that can reflect the pore size, including but not limited to the equivalent circle diameter and Feret diameter.

[0027] Step 200, determining a target pore fractal dimension based on the pore size distribution data and the cumulative size distribution algorithm; The specific process of calculating the pore fractal dimension by the new cumulative size distribution algorithm is as follows: Step 4, determining the maximum pore size, the target pore size interval, and the number of pores in the target pore size interval in the microscopic image; Step 5: determining a first pore size interval based on the target pore size interval and the pore quantity data within the target pore size interval, wherein the pore quantity within the target pore size interval is greater than a certain threshold value; Step 6: Based on the target pore size interval, the pore quantity data within the target pore size interval, and the first pore size interval, a series of fractal dimension assumption values ​​are added to the adjustment term of the general equation of cumulative size distribution, and fractal dimension response values ​​corresponding to the fractal dimension assumption values ​​are obtained through regression analysis; Step 7, draw a curve corresponding to the fractal dimension assumption value and the fractal dimension response value in the two-dimensional variable relationship diagram, and confirm that the curve and the straight line (indicating that the fractal dimension assumption value is equal to the fractal dimension response value) have one and only one intersection point within a certain range of fractal dimension assumption values ​​(for example, a range greater than 1 and less than 2), and the fractal dimension assumption value (or fractal dimension response value) corresponding to the intersection point is the actual calculated value of the fractal dimension, that is, the target pore fractal dimension in this embodiment.

[0028] Step 300: Perform a representative test on the target pore fractal dimension, and if the test passes, determine that the target pore fractal dimension is a shale pore fractal dimension.

[0029] The present invention also provides a method for performing representativeness test on fractal dimension, and the specific process is as follows: Step 8, determining the cumulative observation area of ​​microscopic observation, and a two-dimensional variable relationship diagram between the pore fractal dimension and the cumulative observation area; Step 9, based on the two-dimensional variable relationship diagram between the pore fractal dimension and the cumulative observation area, determining the fluctuation value of the pore fractal dimension; Step 10: In the continuous interval, if the fluctuation value is less than the target threshold, the fluctuation value is determined to be the target fluctuation value, and if the cumulative observation area corresponding to the target fluctuation value is not less than the first threshold, it is determined that the pore fractal dimension test has passed. If the test fails, return to the above step 2.

[0030] This embodiment determines the shale pore size distribution data by analyzing the microscopic image of random areas on the shale surface. Based on the shale pore size distribution data and the cumulative size distribution algorithm, the target pore fractal dimension is determined, and a representative test is performed on the obtained target pore fractal dimension. This solves the technical problem that the existing solution of calculating the pore fractal dimension only randomly selects a part of the shale cross-section for microscopic analysis, and cannot accurately obtain the shale pore fractal dimension.

[0031] Figure 2 This is the second flow chart of the method for determining the pore fractal dimension provided by the present invention. Figure 2 As shown, the method may also include: Step 210: determining a target variable and a maximum pore size of an image based on the pore size distribution data; Step 220: determining a target aperture interval based on the target variable and the maximum aperture of the image, and determining a first aperture interval based on the target variable; Step 230: Determine a target pore fractal dimension according to the target pore size interval, the first pore size interval, and a cumulative size distribution algorithm.

[0032] The target aperture interval in step 4 above refers to the aperture greater than or equal to the variable , and is smaller than the maximum aperture obtained in the microscopic image The number of pores in the target pore size interval refers to the number of pores in the target pore size interval. .

[0033] The first aperture interval in step 5 above refers to the variable The value range of the aperture interval corresponds to the value range of the variable When taking values, it is necessary to satisfy Greater than a first preset value, which may be 100.

[0034] According to the target pore size interval, the first pore size interval and the cumulative size distribution algorithm obtained above, the target pore fractal dimension is further determined.

[0035] This embodiment determines the target pore size interval and the first pore size interval through pore size distribution data, and uses a new cumulative size distribution algorithm to calculate the target pore fractal dimension.

[0036] In one embodiment, the method for determining the pore fractal dimension provided in the embodiment of the present application may further include: Step 231: adding a fractal dimension assumption value to an adjustment item of a cumulative size distribution algorithm based on the target aperture interval and the first aperture interval; Step 232, determining the fractal dimension response value corresponding to the fractal dimension hypothesis value through regression analysis; Step 233: Determine the target pore fractal dimension based on the two-dimensional variable relationship diagram drawn between the fractal dimension assumption value and the fractal dimension response value.

[0037] In the above step 6, based on the target pore size interval, the pore quantity data within the target pore size interval, and the first pore size interval, a series of fractal dimension assumption values ​​are added to the adjustment term of the general equation of cumulative size distribution, and the calculation method and principle of obtaining the fractal dimension response value corresponding to the fractal dimension assumption value through regression analysis are as follows: According to the existing cumulative size distribution algorithm, the pore size in all sections of shale is greater than The total number of pores The maximum pore size in all cross sections And fractal dimension There is a relationship as shown in the following formula 1.

[0038] ; (1)

[0039] In step 2 above, the microscopic image only images part of the shale cross section. Therefore, the number of pores captured will be significantly less than the number of pores in the entire cross section of the shale sample. In addition, due to the limitation of the field size of the microscopic imaging, pores with pores larger than the field size cannot be directly captured. The maximum pore size in the captured area is Must be less than Therefore, the pore size in the entire shale sample cross section is greater than or equal to Total number of pores It can be expressed as two parts as shown in the following formula 2.

[0040] ; (2)

[0041] In the above formula 2, The pore size in the entire shale sample cross section is greater than or equal to The number of pores; The pore size in the entire shale section is greater than or equal to , and less than The number of pores. The expression of is shown in the following formula 3.

[0042] ; (3)

[0043] in, is the area of ​​the entire shale sample cross section; is the area of ​​the microscopic observation area; The aperture in the microscopic observation area is greater than or equal to , and less than The number of pores can be derived from the following formula 4 based on the above formulas 1, 2 and 3.

[0044] ; (4)

[0045] The above formula 1 is the formula 4 in , ,and Therefore, Formula 4 is a general equation for the traditional cumulative size distribution algorithm, and its applicability has been expanded from the requirement to perform pore microscopic analysis on all cross sections of the entire shale sample to the ability to randomly select a portion of the field of view for pore microscopic analysis. When a specific analysis process is used to study a specific shale sample, the above Formula 4 , , , and are all fixed values, therefore, the above formula 4 can be further expressed as the following formula 5.

[0046] ; (5)

[0047] in, is a constant; It is an adjustment item. The expression of is shown in the following formula 6.

[0048] ; (6)

[0049] Fractal dimension The theoretical range of the value is greater than 1 and less than 2. Substituting the above formula 6 , and combined with the above formula 5, we can get the following formula 7.

[0050] ; (7)

[0051] In the above formula 7, is the fractal dimension response value. Based on the pore quantity and size distribution data obtained in step 3, the independent variable is , the dependent variable is The opposite of the regression slope is the assumed value of each fractal dimension. The corresponding fractal dimension response value .

[0052] In this embodiment, the target pore fractal dimension is determined by a two-dimensional variable relationship diagram drawn based on the fractal dimension assumption value and the fractal dimension response value.

[0053] In one embodiment, the method for determining the pore fractal dimension provided in the embodiment of the present application may further include: Step 233-1, determining a target curve corresponding to the fractal dimension assumption value and the fractal dimension response value, and a target straight line where the fractal dimension assumption value is equal to the fractal dimension response value; Step 233-2, determining a target value range corresponding to the fractal dimension assumption value; Step 233 - 3 , determining a target pore fractal dimension based on the target curve, the target straight line and the target value range.

[0054] Specifically, in the above step 7, a curve corresponding to the fractal dimension assumption value and the fractal dimension response value is drawn in the two-dimensional variable relationship diagram, and it is confirmed that the curve and the straight line where the fractal dimension assumption value is equal to the fractal dimension response value have only one intersection point in the range where the fractal dimension assumption value is greater than 1 and less than 2, then the fractal dimension assumption value corresponding to the intersection point is equal to the fractal dimension response value, which is the actual calculated value of the fractal dimension.

[0055] Here’s how it works: In the fractal dimension assumed value and its corresponding fractal dimension response value In the two-dimensional variable relationship diagram, the and Draw the curve and check that it is within the range of The straight lines represented have only one intersection point. If there is only one intersection point, according to the above formulas 5, 6 and 7, we know that there must be , that is, the assumed value of the fractal dimension corresponding to the intersection point or fractal dimension response value Must be the calculated fractal dimension value , which is the target pore fractal dimension in this embodiment.

[0056] This embodiment determines the target pore fractal dimension through the target curve, the target straight line and the target value range.

[0057] In one embodiment, the method for determining the pore fractal dimension provided in the embodiment of the present application may further include: Step 310, determining the cumulative observation area based on the microscopic image of the random area on the shale surface; Step 320, determining a target two-dimensional variable relationship diagram between the target pore fractal dimension and the cumulative observation area; Step 330: Based on the relationship diagram between the cumulative observed area and the target two-dimensional variable, perform a representative test on the target pore fractal dimension; Step 340: When it is determined based on the relationship diagram between the cumulative observed area and the target two-dimensional variable that the test passes, determine that the target pore fractal dimension is the shale pore fractal dimension.

[0058] The method for determining the pore fractal dimension provided in the embodiment of the present application may further include: Step 350: determining the fluctuation value of the target pore fractal dimension based on the target two-dimensional variable relationship diagram; Step 360: Determine the fluctuation value within the continuous interval that is less than the target threshold as the target fluctuation value; Step 370: When the cumulative observation area corresponding to the target fluctuation value is greater than a first threshold, determine that the representativeness test of the target pore fractal dimension has passed.

[0059] Specifically, if the fluctuation value in the continuous interval in the above step 10 is less than the target threshold, the fluctuation value is determined to be the target fluctuation value, and if the cumulative observation area corresponding to the target fluctuation value is not less than the first threshold, it is determined that the representativeness test of the target pore fractal dimension has passed. In a feasible embodiment, the target threshold can be 0.1; the first threshold can be .

[0060] This embodiment further improves the accuracy of obtaining the pore fractal dimension by performing representativeness test on the obtained target pore fractal dimension.

[0061] The pore fractal dimension determination device provided by the present invention is described below. The pore fractal dimension determination device described below and the pore fractal dimension determination method described above can be referred to each other.

[0062] Please refer to Figure 3 The present invention also provides a device for determining a pore fractal dimension, comprising: A pore size distribution data determination module 301 is used to determine pore size distribution data based on a microscopic image of a random area on the shale surface; A target pore fractal dimension determination module 302 is used to determine the target pore fractal dimension based on the pore size distribution data and the cumulative size distribution algorithm; The representativeness test module 303 is used to perform a representativeness test on the target pore fractal dimension, and if the test passes, determine that the target pore fractal dimension is the shale pore fractal dimension.

[0063] Optionally, the target pore fractal dimension determination module includes: A first determination unit, configured to determine a target variable and a maximum pore size of an image based on the pore size distribution data; A first aperture interval determining unit, configured to determine a target aperture interval based on the target variable and the maximum aperture of the image, and determine a first aperture interval based on the target variable; The target pore fractal dimension determination unit is used to determine the target pore fractal dimension according to the target pore size interval, the first pore size interval and the cumulative size distribution algorithm.

[0064] Optionally, the target pore fractal dimension determination unit includes: A fractal dimension assumption value adding unit, configured to add a fractal dimension assumption value to an adjustment item of a cumulative size distribution algorithm based on the target aperture interval and the first aperture interval; A fractal dimension response value determination unit, used for determining the fractal dimension response value corresponding to the fractal dimension hypothesis value through regression analysis; The second determination unit is used to determine the target pore fractal dimension based on a two-dimensional variable relationship diagram drawn between the fractal dimension assumption value and the fractal dimension response value.

[0065] Optionally, the second determining unit includes: A third determining unit is used to determine a target curve corresponding to the fractal dimension assumption value and the fractal dimension response value, and a target straight line where the fractal dimension assumption value is equal to the fractal dimension response value; A target value range determination unit, used to determine a target value range corresponding to the fractal dimension hypothesis value; The fourth determination unit is used to determine a target pore fractal dimension based on the target curve, the target straight line and the target value range.

[0066] Optionally, the performing a representative test on the target pore fractal dimension, and if the test passes, determining that the target pore fractal dimension is a shale pore fractal dimension includes: a cumulative observation area determination unit, for determining the cumulative observation area based on a microscopic image of a random area on the shale surface; A target two-dimensional variable relationship diagram determining unit, used to determine a target two-dimensional variable relationship diagram between the target pore fractal dimension and the cumulative observation area; A representativeness test unit, used for performing a representativeness test on the target pore fractal dimension based on the relationship diagram between the cumulative observation area and the target two-dimensional variable; The shale pore fractal dimension determination unit is used to determine that the target pore fractal dimension is the shale pore fractal dimension when the inspection is passed based on the relationship diagram between the cumulative observation area and the target two-dimensional variable.

[0067] Optionally, the step of determining a target two-dimensional variable relationship diagram between the target pore fractal dimension and the cumulative observation area comprises: A fluctuation value determination module, used to determine the fluctuation value of the target pore fractal dimension based on the target two-dimensional variable relationship diagram; A target fluctuation value determination module, used to determine the fluctuation value within a continuous interval that is less than a target threshold as a target fluctuation value; The representativeness test pass determination module is used to determine whether the representativeness test of the target pore fractal dimension has passed when the cumulative observation area corresponding to the target fluctuation value is greater than a first threshold value.

[0068] Figure 4 An example of a physical structure diagram of an electronic device is shown in FIG. Figure 4 As shown, the electronic device may include: a processor 410, a communication interface 420, a memory 430 and a communication bus 440, wherein the processor 410, the communication interface 420 and the memory 430 communicate with each other through the communication bus 440. The processor 410 may call the logic instructions in the memory 430 to execute a method for determining a pore fractal dimension, the method comprising: determining pore size distribution data based on a microscopic image of a random area on the shale surface; determining a target pore fractal dimension based on the pore size distribution data and a cumulative size distribution algorithm; performing a representative test on the target pore fractal dimension, and determining the target pore fractal dimension to be a shale pore fractal dimension if the test passes.

[0069] In addition, the logic instructions in the above-mentioned memory 430 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0070] On the other hand, the present invention also provides a computer program product, which includes a computer program. The computer program can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the pore fractal dimension determination method provided by the above methods, which method includes: determining pore size distribution data based on microscopic images of random areas on the shale surface; determining a target pore fractal dimension based on the pore size distribution data and a cumulative size distribution algorithm; performing a representative test on the target pore fractal dimension, and if the test passes, determining the target pore fractal dimension to be the shale pore fractal dimension.

[0071] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to execute the pore fractal dimension determination method provided by the above-mentioned methods, the method comprising: determining pore size distribution data based on microscopic images of random areas on the shale surface; determining a target pore fractal dimension based on the pore size distribution data and a cumulative size distribution algorithm; performing a representative test on the target pore fractal dimension, and determining the target pore fractal dimension to be the shale pore fractal dimension if the test passes.

[0072] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0073] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0074] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for determining pore fractal dimension, characterized in that: include: Determine pore size distribution data based on microscopic images of random areas on the shale surface; Determining a target pore fractal dimension based on the pore size distribution data and the cumulative size distribution algorithm; A representative test is performed on the target pore fractal dimension, and if the test passes, the target pore fractal dimension is determined to be the shale pore fractal dimension.

2. The method for determining pore fractal dimension according to claim 1, characterized in that: Determining the target pore fractal dimension based on the pore size distribution data and the cumulative size distribution algorithm comprises: determining a target variable and an image maximum pore diameter based on the pore size distribution data; Determine a target aperture interval based on the target variable and the maximum aperture of the image, and determine a first aperture interval based on the target variable; A target pore fractal dimension is determined according to the target pore size interval, the first pore size interval and a cumulative size distribution algorithm.

3. The method for determining pore fractal dimension according to claim 2, characterized in that: Determining the target pore fractal dimension according to the target pore size interval, the first pore size interval and the cumulative size distribution algorithm comprises: Based on the target aperture interval and the first aperture interval, adding a fractal dimension assumption value to an adjustment item of a cumulative size distribution algorithm; Determine the fractal dimension response value corresponding to the fractal dimension hypothesis value by regression analysis; The target pore fractal dimension is determined based on a two-dimensional variable relationship diagram drawn based on the fractal dimension assumption value and the fractal dimension response value.

4. The method for determining pore fractal dimension according to claim 3, characterized in that: The two-dimensional variable relationship diagram drawn based on the fractal dimension assumption value and the fractal dimension response value to determine the target pore fractal dimension comprises: Determine a target curve corresponding to the fractal dimension assumption value and the fractal dimension response value, and a target straight line where the fractal dimension assumption value is equal to the fractal dimension response value; Determining a target value range corresponding to the fractal dimension hypothesis value; Based on the target curve, the target straight line and the target value range, a target pore fractal dimension is determined.

5. The method for determining pore fractal dimension according to claim 1, characterized in that: The representative test of the target pore fractal dimension is performed, and if the test passes, determining that the target pore fractal dimension is the shale pore fractal dimension comprises: Based on microscopic images of random areas on the shale surface, the cumulative observation area was determined; Determine a target two-dimensional variable relationship diagram of the target pore fractal dimension and the cumulative observation area; Based on the relationship diagram between the cumulative observed area and the target two-dimensional variable, a representative test is performed on the target pore fractal dimension; When it is determined that the test passes based on the relationship diagram between the cumulative observed area and the target two-dimensional variable, the target pore fractal dimension is determined to be the shale pore fractal dimension.

6. The method for determining pore fractal dimension according to claim 5, characterized in that: The step of determining the target two-dimensional variable relationship diagram between the target pore fractal dimension and the cumulative observation area then includes: Determining a fluctuation value of the target pore fractal dimension based on the target two-dimensional variable relationship diagram; Determine the fluctuation value within the continuous interval that is less than the target threshold as the target fluctuation value; When the cumulative observation area corresponding to the target fluctuation value is greater than the first threshold, it is determined that the representativeness test of the target pore fractal dimension has passed.

7. A device for determining pore fractal dimension, characterized in that: include: A pore size distribution data determination module, for determining pore size distribution data based on a microscopic image of a random area on the shale surface; A target pore fractal dimension determination module, used to determine the target pore fractal dimension based on the pore size distribution data and the cumulative size distribution algorithm; The representative inspection module is used to perform a representative inspection on the target pore fractal dimension, and if the inspection passes, determine that the target pore fractal dimension is a shale pore fractal dimension.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, the method for determining the pore fractal dimension according to any one of claims 1 to 6 is implemented.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for determining the pore fractal dimension according to any one of claims 1 to 6 is implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the method for determining the pore fractal dimension according to any one of claims 1 to 6 is implemented.

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