Method and device for quantitatively distinguishing organic and inorganic pores of shale and electronic equipment

Abstract

The invention relates to the technical field of oil-gas exploration, and discloses a method and device for quantitatively distinguishing organic and inorganic pores of shale and electronic equipment. The method specifically comprises the following steps: scanning electron microscope imaging; processing an imaging result; performing image processing on the organic matter structure; the edge of the organic matter structure extends outwards; whether all pore structures in the pore data file Dport intersect with the organic matter data file Dorganic + or not is judged according to the position relation and the size, the intersection area is organic pores, and the non-intersection area is inorganic pores; and carrying out statistics on parameters of the data file Do-hole, the data file Dino-hole and the organic matter data file Dorganic, and quantitatively evaluating the pore development characteristics of the shale. According to the implementation of the technical scheme, the organic and inorganic pores of the shale are distinguished by judging the position relation between the pores and the organic matter by means of image processing, and a technical support is provided for quantitative evaluation of the pore structure of the shale.

Description

Technical Field

[0001] The invention relates to the technical field of oil and gas exploration, and in particular to a method, a device and an electronic device for quantitatively distinguishing organic and inorganic pores in shale. Background Art

[0002] Shale is a fine-grained clastic sedimentary rock with a pore structure dominated by nano- and micron-sized pores. The pore types can be divided into organic pores and inorganic pores. Inorganic pores can be further divided into grain margin seams, intergranular pores, and pores between clay minerals. There are obvious differences in the degree of development and shape of pores inside organic matter, which can be divided into irregular pores, abundant small pores, elliptical-circular pores, and wrinkled pores. In the above situation, the existing technology is mostly based on a simple display and qualitative description of SEM images. In addition, image processing based on MAPS is mostly based on distinguishing organic matter and pores; because different types of pores only differ in their development positions, the grayscale ranges of different types of pores in image data are almost the same, so conventional image processing methods have limitations in distinguishing different types of pore structures in shale, and it is difficult to quantitatively describe different types of pore structures. Summary of the invention

[0003] The present application provides a method, device and electronic device for quantitatively distinguishing organic and inorganic pores in shale, so as to solve the above-mentioned technical problem that it is difficult to quantitatively describe different types of pore structures in the prior art.

[0004] According to one aspect of the present application, an embodiment provides a method for quantitatively distinguishing organic and inorganic pores in shale, comprising:

[0005] The surface of the shale samples was imaged by scanning electron microscopy;

[0006] Process the imaging results to obtain the pore data file D pore and organic matter data file D o ;

[0007] For organic matter data file D o The organic matter structure is processed by image processing to obtain the organic matter data file D organic ;

[0008] Organic matter data file D organic The edge of the organic matter structure in the image is expanded outward to obtain the expanded organic matter data file D organic+ ;

[0009] Determine the pore data file D by position relationship and size pore Are all the pore structures in the same organic matter data file D organic+ Intersecting, the intersecting area is organic pores, and the non-intersecting area is inorganic pores;

[0010] Extract the data file D of the organic pores o-pore , extract the data file D of the inorganic pores ino-pore ;

[0011] Statistics File D o-pore , data file D ino-pore and organic matter data file D organic The parameters of shale pore development can be quantitatively evaluated.

[0012] In one embodiment, the processing of the imaging results includes:

[0013] According to the grayscale of the image, the grayscale thresholds of pores, organic matter and matrix were set to analyze the pores, organic matter and matrix.

[0014] In one embodiment, the organic matter data file D o Image processing of organic matter structures includes:

[0015] For organic matter data file D o The edges of the organic structure are processed to remove the inorganic pores;

[0016] Restore organic matter data file D o Remove the removed part, restore the organic matter structure, and obtain the organic matter data file D organic .

[0017] In one embodiment, the organic matter data file D o The processing of the edges of organic structures includes:

[0018] The organic structure shrinks n pixels along the edge, where n is a positive integer; and / or,

[0019] The restored organic matter data file D o The removed parts include:

[0020] The organic structure extends an equal number of n pixels along the edge, where n is a positive integer.

[0021] In one embodiment, the organic matter data file D organic The edge of the organic structure in the image is extended outward by at least one pixel to obtain the organic data file D organic+ .

[0022] In one embodiment, the inorganic pores are obtained by calculation, and the formula is D ino-pore =(D pore -D o-pore )+(D o -D organic ).

[0023] In one embodiment, the parameters include porosity and / or pore size distribution.

[0024] According to one aspect of the present application, an embodiment provides a device for quantitatively distinguishing organic and inorganic pores in shale, comprising:

[0025] An imaging module for imaging the surface of a shale sample by scanning electron microscopy;

[0026] The first image processing module is used to process the imaging results and obtain the pore data file D pore and organic matter data file D o ;

[0027] The second image processing module is used to process the organic matter data file D o The organic matter structure is processed by image processing to obtain the organic matter data file D organic ;

[0028] The third image processing module is used for organic matter data file D organic The edge of the organic matter structure in the image is expanded outward to obtain the expanded organic matter data file D organic+ ;

[0029] The judgment module is used to judge the pore data file D by position relationship and size pore Are all the pore structures in the same organic matter data file D organic+ Intersecting, the intersecting area is organic pores, and the non-intersecting area is inorganic pores;

[0030] An extraction module, used to extract the data file D of the organic pores o-pore , extract the data file D of the inorganic pores ino-pore ;and

[0031] Quantitative analysis module, used for statistical data files D o-pore , data file D ino-pore and organic matter data file D organic The parameters of shale pore development can be quantitatively evaluated.

[0032] According to one aspect of the present application, an embodiment provides an electronic device, including:

[0033] Memory; and

[0034] processor;

[0035] Wherein, the memory is used to store one or more computer instructions; the one or more computer instructions are executed by the processor to implement the method for quantitatively distinguishing organic and inorganic pores in shale as described in any one of the above.

[0036] According to one aspect of the present application, an embodiment provides a readable storage medium having computer instructions stored thereon; wherein, when the computer instructions are executed by a processor, a method for quantitatively distinguishing between organic and inorganic pores in shale as described in any one of the above items is implemented.

[0037] The technical solution of the above embodiment of the present application is mainly aimed at the complex pore structure of shale, using a scanning electron microscope to obtain the pore structure of shale, and distinguishing the organic and inorganic pore spaces of shale based on image processing methods, so as to quantitatively characterize the pore structure of shale. The implementation of this technical solution, with the help of image processing, distinguishes the organic and inorganic pores of shale by judging the positional relationship between pores and organic matter, and provides technical support for quantitative evaluation of shale pore structure. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 is a flow chart of a method for quantitatively distinguishing organic and inorganic pores in shale in an embodiment;

[0039] Figure 2 is a flow chart of another method for quantitatively distinguishing organic and inorganic pores in shale in an embodiment;

[0040] Figure 3 is an argon ion electron microscope image of shale in one embodiment;

[0041] Figure 4 is a schematic diagram of a preliminary image segmentation result in an embodiment, wherein pores (left) and organic matter (right);

[0042] Figure 5 is a schematic diagram of organic matter after shrinkage in one embodiment;

[0043] Figure 6 is a schematic diagram of organic matter after expansion in one embodiment;

[0044] Figure 7 is a schematic diagram of the intersection area between pores and expanded organic matter (left) and organic matter pores (right) in an embodiment;

[0045] Figure 8 is a schematic diagram of an inorganic pore in an embodiment;

[0046] Fig. 9 The schematic diagram of the structure of a device for quantitatively distinguishing between organic and inorganic pores in shale in an embodiment. DETAILED DESCRIPTION

[0047] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0048] In order to enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only embodiments of a part of the present application, not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in the field without creative work should fall within the scope of protection of the present application.

[0049] It should be noted that the terms "first", "second" etc. in the present application are used to distinguish similar objects, and need not be used to describe a specific order or sequential order. It should be understood that the data used in this way can be interchanged in appropriate circumstances, so that the embodiments of the present application described here. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, the process, method, system, product or equipment comprising a series of steps or units need not be limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or equipment.

[0050] It should be understood that when an element (such as a layer, film, region, or substrate) is described as being "on" another element, the element may be directly on the other element, or there may be an intermediate element. Moreover, in this application, when an element is described as being "connected" to another element, the element may be "directly connected" to the other element, or "connected" to the other element through a third element.

[0051] Embodiment 1

[0052] Please refer to Figure 1 , an embodiment provides a method for quantitatively distinguishing organic and inorganic pores in shale, comprising the following steps:

[0053] S1. The surface of the shale sample is imaged by a scanning electron microscope; wherein the shale sample is polished after being produced;

[0054] S2. Process the imaging results to obtain the pore data file D pore and organic matter data file D o ;

[0055] S3. Organic matter data file D o The organic matter structure is processed by image processing to obtain the organic matter data file D organic ; Among them, image processing is mainly to process the edges of organic structures;

[0056] S4. Organic matter data file D organic The edge of the organic matter structure in the image is expanded outward to obtain the expanded organic matter data file D organic+Preferably, the edge of the organic structure is extended outward by at least one pixel to obtain the organic data file D organic+ Further preferably, it is sufficient to expand outward by one pixel. In this case, the above data file D organic- The organic matter structure in the image is extended by n+1 pixels along the edge to obtain the organic matter data file D organic+ ;

[0057] S5. Determine the pore data file D by position relationship and size pore Are all the pore structures in the same organic matter data file D organic+ intersect, the intersecting area is organic pores, and the non-intersecting area is inorganic pores; in other words, the above data file D is judged by relative position relationship and size. pore Are all the pore structures in the same file D as above? organic+ Intersection: If there is an intersection area, it is an organic pore, and then the data file D of this pore structure is further extracted o-pore (i.e., step S6); if there is no intersection area, it is an inorganic pore, and then the data file D of such pore structure is further extracted. ino-pore (i.e. step S6);

[0058] Step S5 extracts the data file D of the organic pores o-pore , extract the data file D of the inorganic pores ino-pore That is step S6;

[0059] S7. Statistical data file D o-pore , data file D ino-pore and organic matter data file D organic Parameters are used to quantitatively evaluate the pore development characteristics of shale; wherein the parameters include surface porosity and / or pore size distribution.

[0060] In one embodiment, in order to obtain better scanning electron microscope imaging effect, argon ion polishing is used for polishing.

[0061] In one embodiment, the specific content of step S2 is to set the grayscale thresholds of pores, organic matter and matrix according to the grayscale of the image, and analyze the pores, organic matter and matrix; further, the pore data file D can be obtained. pore and organic matter data file D o .

[0062] In one embodiment, step S3 includes the following steps:

[0063] S31. Organic matter data file D o The edges of the organic structure are processed to remove the inorganic pores;

[0064] S32. Restore organic matter data file D o Remove the removed part, restore the organic matter structure, and obtain the organic matter data file D organic .

[0065] In step S31, the organic matter data file D o The reason for processing the edge of the organic structure in the image is that due to the limitation of the grayscale threshold, the inorganic pores are mistakenly classified as organic matter, so this part of the inorganic pores needs to be removed. The method of image processing to remove this part of the inorganic pores is mainly to remove the pixels at the edge of the organic structure. The method usually used is to shrink the organic structure along the edge by n pixels, where n is a positive integer.

[0066] Among them, in step S32, the organic matter data file D is restored o The removed part includes: the organic structure extends along the edge with an equal number of n pixels, where n is a positive integer. Since the inorganic pores are mistakenly classified as organic matter, the organic structure needs to be restored after removing the misjudged inorganic pores.

[0067] In one embodiment, in step S5, the inorganic pores are obtained by calculation, and the formula is D ino-pore =(D pore -D o-pore )+(D o -D organic ).

[0068] The method for quantitatively distinguishing organic and inorganic pores in shale of the present invention is mainly aimed at the complex pore structure of shale. It is based on image processing and utilizes the contraction and expansion algorithm of the organic matter structure. By judging the positional relationship between the pores and the organic matter, the quantitative distinction between organic and inorganic pores is achieved, thereby quantitatively characterizing different types of pore structures of shale.

[0069] Embodiment 2

[0070] Please refer to Figure 2-Figure 8 An embodiment provides a method for quantitatively distinguishing organic and inorganic pores in shale, which is described below through a case to facilitate further understanding of its technical solution.

[0071] The specific steps of this method are as follows:

[0072] (1) Obtain argon ion electron microscope images of shale, such as Figure 3 Among them, the magnification is 20,000 times; the black area is pores, the dark gray is organic matter, the black circular area in the organic matter is organic pores, and except for organic pores, the rest of the black part is inorganic pores.

[0073] (2) Set grayscale thresholds of different components according to the image grayscale, where pores (D pore, black): 0-58; organic matter (D o , dark gray): 59-120; matrix (light gray): 121-255; Figure 4 .

[0074] (3) Figure 5 , for organic matter data file D o Shrink 2 pixels along the edge, remove the inorganic pores, and get the data file D organic- .

[0075] (4) The organic matter data file D after shrinkage organic- Dilate 2 pixels along the edge to restore the contracted part of the organic matter and obtain the final organic matter data file D organic . Further, for the organic matter data file D organic Expand 1 pixel along the edge to obtain the expanded organic matter data file D organic+ ,like Figure 6 .

[0076] (5) Figure 7 , mark the pore data file D pore The position and size of all pores in the water are determined to determine the positional relationship between the pores and the organic matter after expansion. All pores that intersect with the organic matter are marked as organic pores D. o-pore .

[0077] (6) Figure 8 , perform data operations on the file, D ino-pore =(D pore -D o-pore )+(D o -D organic ), and obtain inorganic pores.

[0078] (7) The surface ratios of the various components were calculated, including 30.34% organic matter, 2.22% organic pores, and 0.96% inorganic pores.

[0079] Embodiment 3

[0080] Please refer to Fig. 9 One embodiment provides a device for quantitatively distinguishing organic and inorganic pores in shale, wherein:

[0081] (1) The imaging module 10 is used to image the surface of the shale sample by scanning electron microscopy; wherein the shale sample is prepared in advance;

[0082] (2) The first image processing module 20 is used to process the imaging results to obtain the pore data file D pore and organic matter data file D o ;

[0083] (3) The second image processing module 30 mainly processes the edge of the organic structure; specifically, the second image processing module 30 processes the organic data file D o The organic matter structure is processed by image processing to obtain the organic matter data file D organic ;

[0084] (4) The third image processing module 40 is used for the organic matter data file D organic The edge of the organic matter structure in the image is expanded outward to obtain the expanded organic matter data file D organic+ ;

[0085] (5) The judgment module 50 is used to judge the pore data file D by position relationship and size. pore Are all the pore structures in the same organic matter data file D organic+ intersect, the intersecting area is organic pores, and the non-intersecting area is inorganic pores; about the judgment principle, that is, judging the above data file D pore Are all the pore structures in the same file D as above? organic+ Intersection: If there is an intersection area, it is an organic pore; if there is no intersection area, it is an inorganic pore;

[0086] (6) Extraction module 60 is used to extract the data file D of the organic pores o-pore , extract the data file D of the inorganic pores ino-pore ;and

[0087] (7) Quantitative analysis module 70 is used for statistical data file D o-pore , data file D ino-pore and organic matter data file D organic Parameters are used to quantitatively evaluate the pore development characteristics of shale; wherein the parameters include surface porosity and / or pore size distribution.

[0088] In one embodiment, the first image processing module 20 sets grayscale thresholds of pores, organic matter and matrix according to the grayscale of the image, analyzes the pores, organic matter and matrix, and obtains the pore data file D. pore and organic matter data file D o .

[0089] In one embodiment, the second image processing module 30 performs image processing as follows: the pixel removal module removes the organic matter data file D o The edge of the organic structure in the image is processed to remove the inorganic pores. The pixel removal module usually adopts a method of shrinking n pixels along the edge of the organic structure, where n is a positive integer. Next, the pixel restoration module expands an equal number of n pixels along the edge of the organic structure, where n is a positive integer; thereby restoring the organic structure.

[0090] In one embodiment, the third image processing module 40 extends the edge of the organic structure outward by at least one pixel to obtain the organic data file D organic+ Usually, it is sufficient to expand outward by one pixel. At this time, the above data file D organic- The organic matter structure in the image is extended by n+1 pixels along the edge to obtain the organic matter data file D organic+ .

[0091] It should be noted that the above-mentioned device for quantitatively distinguishing organic and inorganic pores in shale is used to implement the method for quantitatively distinguishing organic and inorganic pores in shale in the above-mentioned embodiments, and each module in the device corresponds to each step in the method.

[0092] Embodiment 4

[0093] Based on the same inventive concept, an embodiment of the present application provides an electronic device, comprising: a memory and a processor; wherein the memory is used to store one or more computer instructions; the one or more computer instructions are executed by the processor to implement the method for quantitatively distinguishing between organic and inorganic pores in shale as described in any one of the above embodiments.

[0094] Embodiment 5

[0095] Based on the same inventive concept, an embodiment of the present application provides a readable storage medium, on which computer instructions are stored; wherein, when the computer instructions are executed by a processor, the method for quantitatively distinguishing between organic and inorganic pores in shale as described in any one of the above embodiments is implemented.

[0096] Among them, the above one or more computer instructions can be formed into a program.

[0097] The above program can be run in the processor, or it can be stored in the memory (or computer-readable medium), which includes permanent and non-permanent, removable and non-removable media. Information storage can be achieved by any method or technology. Information can be computer-readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, read-only compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, tape disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined in this article, computer-readable media does not include temporary computer-readable media (transitory media), such as modulated data signals and carrier waves.

[0098] These computer programs can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, so that the instructions executed on the computer or other programmable device provide instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps of the functions specified in one or more blocks can be implemented by different modules corresponding to different steps.

[0099] The above description is only the preferred embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A method for quantitatively distinguishing organic and inorganic pores in shale, characterized in that: include: The surface of the shale samples was imaged by scanning electron microscopy; Process the imaging results to obtain the pore data file D pore and organic matter data file D o ; For organic matter data file D o The organic matter structure is processed by image processing to obtain the organic matter data file D organic ; Organic matter data file D organic The edge of the organic matter structure in the image is expanded outward to obtain the expanded organic matter data file D organic+ ; Determine the pore data file D by position relationship and size pore Are all the pore structures in the same organic matter data file D organic+ Intersecting, the intersecting area is organic pores, and the non-intersecting area is inorganic pores; Extract the data file D of the organic pores o-pore , extract the data file D of the inorganic pores ino-pore ; Statistics File D o-pore , data file D ino-pore and organic matter data file D organic The parameters of shale pore development can be quantitatively evaluated.

2. A method for quantitatively distinguishing organic and inorganic pores in shale according to claim 1, characterized in that: The processing imaging results include: According to the grayscale of the image, the grayscale thresholds of pores, organic matter and matrix were set to analyze the pores, organic matter and matrix.

3. A method for quantitatively distinguishing organic and inorganic pores in shale according to claim 1, characterized in that: The organic matter data file D o Image processing of organic matter structures includes: For organic matter data file D o The edges of the organic structure are processed to remove the inorganic pores; Restore organic matter data file D o Remove the removed part, restore the organic matter structure, and obtain the organic matter data file D organic .

4. A method for quantitatively distinguishing organic and inorganic pores in shale according to claim 3, characterized in that: The organic matter data file D o The processing of the edges of organic structures includes: The organic structure shrinks n pixels along the edge, where n is a positive integer; and / or, The restored organic matter data file D o The removed parts include: The organic structure extends an equal number of n pixels along the edge, where n is a positive integer.

5. A method for quantitatively distinguishing organic and inorganic pores in shale according to claim 1, characterized in that: The organic matter data file D organic The edge of the organic structure in the image is extended outward by at least one pixel to obtain the organic data file D organic+ .

6. A method for quantitatively distinguishing organic and inorganic pores in shale according to claim 1, characterized in that: The inorganic pores are obtained by calculation, and the formula is D ino-pore =(D pore -D o-pore )+(D o -D organic ).

7. A method for quantitatively distinguishing organic and inorganic pores in shale according to claim 1, characterized in that: The parameters include porosity and / or pore size distribution.

8. A device for quantitatively distinguishing organic and inorganic pores in shale, characterized in that: include: An imaging module for imaging the surface of a shale sample by scanning electron microscopy; The first image processing module is used to process the imaging results and obtain the pore data file D pore and organic matter data file D o ; The second image processing module is used to process the organic matter data file D o The organic matter structure is processed by image processing to obtain the organic matter data file D organic ; The third image processing module is used for organic matter data file D organic The edge of the organic matter structure in the image is expanded outward to obtain the expanded organic matter data file D organic+ ; The judgment module is used to judge the pore data file D by position relationship and size pore Are all the pore structures in the same organic matter data file D organic+ Intersecting, the intersecting area is organic pores, and the non-intersecting area is inorganic pores; An extraction module, used to extract the data file D of the organic pores o-pore , extract the data file D of the inorganic pores ino-pore ; and Quantitative analysis module, used for statistical data files D o-pore , data file D ino-pore and organic matter data file D organic The parameters of shale pore development can be quantitatively evaluated.

9. An electronic device, characterized in that: include: Memory; and processor; Wherein, the memory is used to store one or more computer instructions; the one or more computer instructions are executed by the processor to implement the method for quantitatively distinguishing organic and inorganic pores in shale as described in any one of claims 1 to 7.

10. A readable storage medium, characterized in that: The readable storage medium stores computer instructions; wherein, when the computer instructions are executed by a processor, the method for quantitatively distinguishing between organic and inorganic pores in shale as claimed in any one of claims 1 to 7 is implemented.

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