Method, apparatus and equipment for classifying and evaluating the evolution stage of sutures in rocks

Abstract

The present application provides a method, device and equipment for classifying and evaluating the evolution stage of sutures in rocks, belonging to the field of structural geology. The method includes: determining the amplitude change rate of the sutures included in the target rock sample; determining the porosity change rate of the target rock sample; determining the overall maturity level of the sutures in the target rock sample according to the amplitude change rate and the porosity change rate, and the overall maturity level is used to evaluate the evolution stage of the sutures in the target rock sample. It can enhance the authority of the evaluation of the suture evolution stage, as well as improve the evaluation accuracy and applicability.

Description

Technical Field

[0001] This application belongs to the field of structural geology, and specifically relates to a method, device, and equipment for classifying and evaluating the evolution stage of sutures in rocks. Background Art

[0002] As a type of pressure solution structure, sutures are mainly formed in carbonate rocks. Their morphology, scale, and geometry are crucial for understanding the diagenesis and geological history of rocks. They not only record the pressure solution during the diagenetic - epigenetic stage of rocks but also reflect the selective dissolution process of rock components under pressure. Understanding the evolution stage of sutures helps evaluate the reservoir characteristics of rocks. Especially in the field of oil and gas exploration, as potential channels for oil and gas migration, sutures have guiding significance for reservoir evaluation and development. Therefore, the study of the evolution stage of sutures not only enhances our understanding of geological structures and rock properties but also has practical application value for the exploration and development of energy resources. However, the current evaluation of the evolution stage of sutures mostly relies on qualitative descriptions and observations, lacking quantitative evaluation methods and standards. Summary of the Invention

[0003] This application provides a method, device, and equipment for classifying and evaluating the evolution stage of sutures in rocks, aiming to enhance the authority of the evaluation of the evolution stage of sutures, as well as improve the evaluation accuracy and applicability.

[0004] This application provides a method for classifying and evaluating the evolution stage of sutures in rocks, including:

[0005] Determine the amplitude change rate of the sutures included in the target rock sample;

[0006] Determine the porosity change rate of the target rock sample;

[0007] Determine the overall maturity level of the sutures in the target rock sample according to the amplitude change rate and the porosity change rate, and the overall maturity level is used to evaluate the evolution stage of the sutures in the target rock sample.

[0008] According to the method for classifying and evaluating the evolution stage of sutures in rocks provided by this application, determining the overall maturity level of the sutures in the target rock sample according to the amplitude change rate and the porosity change rate includes: determining the relative importance degree of the amplitude change rate and the porosity change rate; determining the first weight coefficient corresponding to the amplitude change rate and the second weight coefficient corresponding to the porosity change rate according to the relative importance degree, and the higher the relative importance degree, the greater the corresponding weight coefficient; determining the overall maturity level of the sutures in the target rock sample according to the first weight coefficient, the second weight coefficient, the amplitude change rate, and the porosity change rate.

[0009] According to the method for classifying and evaluating the evolution stage of sutures in rocks provided by the present application, determining the amplitude change rate of the sutures included in the target rock sample includes: obtaining a first amplitude of the suture center and a second amplitude of the suture tip; determining the amplitude change rate of the suture according to the first amplitude and the second amplitude.

[0010] According to the method for classifying and evaluating the evolution stage of sutures in rocks provided by the present application, determining the amplitude change rate of the suture according to the first amplitude and the second amplitude includes: obtaining the amplitude difference between the first amplitude and the second amplitude; determining the ratio of the amplitude difference to the second amplitude as the amplitude change rate of the suture.

[0011] According to the method for classifying and evaluating the evolution stage of sutures in rocks provided by the present application, determining the porosity change rate of the target rock sample includes: obtaining a first porosity of the suture region included in the target rock sample and a second porosity of the matrix region; determining the porosity change rate according to the first porosity and the second porosity.

[0012] According to the method for classifying and evaluating the evolution stage of sutures in rocks provided by the present application, determining the porosity change rate according to the first porosity and the second porosity includes: obtaining the porosity difference between the first porosity and the second porosity; determining the ratio of the porosity difference to the second porosity as the porosity change rate.

[0013] According to the method for classifying and evaluating the evolution stage of sutures in rocks provided by the present application, the method further includes: determining a length value of a target suture region from the center of a target suture, the target suture region belonging to the target suture, and the target suture being any one of multiple sutures included in the target rock sample; determining a regional maturity level of the target suture region according to the length value.

[0014] The present application also provides a device for classifying and evaluating the evolution stage of sutures in rocks, including:

[0015] A first determination unit, configured to determine the amplitude change rate of the sutures included in the target rock sample;

[0016] A second determination unit, configured to determine the porosity change rate of the target rock sample;

[0017] A third determination unit, configured to determine an overall maturity level of the sutures in the target rock sample according to the amplitude change rate and the porosity change rate, and the overall maturity level is used to evaluate the evolution stage of the sutures in the target rock sample.

[0018] The present application also provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, the method for classifying and evaluating the evolution stage of sutures in rocks as described in any of the above is implemented.

[0019] The present application also provides a non-transitory computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the method for classifying and evaluating the evolution stage of sutures in rocks as described in any of the above is implemented.

[0020] The present application also provides a computer program product, including a computer program. When the computer program is executed by a processor, the method for classifying and evaluating the evolution stage of sutures in rocks as described in any of the above is implemented.

[0021] The method, device, and equipment for classifying and evaluating the evolution stage of sutures in rocks provided by the present application comprehensively determine the overall maturity level of the sutures in the target rock sample through the amplitude change rate and porosity change rate of the sutures included in the target rock sample. This makes the evaluation of the evolution stage of sutures in rocks more authoritative, and improves the evaluation accuracy and applicability. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following will briefly introduce the drawings required for the implementation examples or the description of the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0023] Figure 1 It is a schematic flowchart of a method for classifying and evaluating the evolution stage of sutures in rocks provided by the present application.

[0024] Figure 2 It is a schematic structural diagram of a device for classifying and evaluating the evolution stage of sutures in rocks provided by the present application;

[0025] Figure 3 It is a schematic structural diagram of the electronic device provided by the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0026] To make the objectives, technical solutions, and advantages of the present invention clearer, the following will clearly and completely describe the technical solutions in the present invention with reference to the accompanying drawings in the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art without creative efforts based on the embodiments in the present invention belong to the scope of protection of the present invention.

[0027] The terms "first", "second", etc. in the description, claims and the above-mentioned drawings of this application are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally further includes steps or units not listed, or optionally further includes other steps or units inherent to these processes, methods, products or devices.

[0028] Reference to "embodiment" herein means that a particular feature, structure or characteristic described in connection with the embodiment can be included in at least one embodiment of this application. The phrase appears in various places in the specification and does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment mutually exclusive with other embodiments. Those skilled in the art explicitly and implicitly understand that the embodiments described herein can be combined with other embodiments.

[0029] Currently, the evaluation of the evolution stage of sutures mostly relies on qualitative descriptions and observations, lacking quantitative evaluation methods and standards.

[0030] In view of the above problems, the embodiments of this application provide a method, device and equipment for classifying and evaluating the evolution stage of sutures in rocks. The embodiments of this application will be introduced in detail below with reference to the drawings.

[0031] Please refer to Figure 1 , Figure 1 which is a schematic flowchart of a method for classifying and evaluating the evolution stage of sutures in rocks provided by this application. The method for classifying and evaluating the evolution stage of sutures in rocks includes the following steps.

[0032] S101, determine the amplitude change rate of the sutures included in the target rock sample.

[0033] Among them, the acquisition of the target rock sample can be to first obtain a rock sample from the surface outcrop, and then prepare a thin section based on the rock sample to obtain the target rock sample. It should be noted that there can be multiple sutures included in a target rock sample. The amplitude change rate is determined based on the amplitudes of multiple sutures.

[0034] S102, determine the porosity change rate of the target rock sample.

[0035] Among them, the porosity change rate can be determined based on the porosity of the suture region and the porosity of the matrix region in the target rock sample.

[0036] S103. Determine the overall maturity level of the sutures in the target rock sample according to the amplitude change rate and the porosity change rate, where the overall maturity level is used to evaluate the evolution stage of the sutures in the target rock sample.

[0037] Among them, the maturity index M can be calculated based on the amplitude change rate and the porosity change rate, and then the overall maturity level can be determined based on the maturity index. The maturity index can be divided into three different levels: low maturity (M < 0.5), medium maturity (0.5 ≤ M < 1.0), and high maturity (M ≥ 1.0).

[0038] It can be seen that in the embodiments of the present application, the overall maturity level of the sutures in the target rock sample is comprehensively determined through the amplitude change rate and the porosity change rate of the sutures included in the target rock sample. This makes the evaluation of the evolution stage of the sutures in the rock more authoritative, and improves the evaluation accuracy and applicability.

[0039] In a possible embodiment, the determining the overall maturity level of the sutures in the target rock sample according to the amplitude change rate and the porosity change rate includes: determining the relative importance degree of the amplitude change rate and the porosity change rate; determining a first weight coefficient corresponding to the amplitude change rate and a second weight coefficient corresponding to the porosity change rate according to the relative importance degree, where the higher the relative importance degree, the larger the corresponding weight coefficient; and determining the overall maturity level of the sutures in the target rock sample according to the first weight coefficient, the second weight coefficient, the amplitude change rate, and the porosity change rate.

[0040] Among them, the sum of the first weight coefficient and the second weight coefficient can be 1. The weight coefficient can be determined through experimental data or geological background. That is, it can be determined through experimental data or geological background which index, the amplitude change rate or the porosity change rate, is more important, and the weight coefficient of the more important index is set higher. For example, when the amplitude change rate and the porosity change rate have the same importance in maturity evaluation, the first weight coefficient and the second weight coefficient can both be set to 0.5.

[0041] It can be seen that in this embodiment, by determining the corresponding weight coefficients respectively based on the relative importance degree of the amplitude change rate and the porosity change rate, the evaluation of the overall maturity of the sutures in the target rock sample can be made more accurate.

[0042] In a possible embodiment, the determining the amplitude change rate of the sutures included in the target rock sample includes: obtaining a first amplitude at the center of the suture and a second amplitude at the tip of the suture; and determining the amplitude change rate of the suture according to the first amplitude and the second amplitude.

[0043] Among them, when obtaining the first amplitude of the center point, the image information of the rock sample can be obtained first, and then the image is preprocessed to locate the position of the suture. Then, image segmentation or feature extraction algorithms (such as Hough transform, corner detection, etc.) are used to identify the midpoint of the suture. Finally, the midpoint of the suture is tracked to obtain the position information changing with time. By tracking the displacement change of the center point of the suture in each frame of the image, the vibration displacement of this point is obtained. The maximum displacement can be used as the first amplitude of the midpoint of the suture in the target rock, or the average value of the vibration displacement can be used as the first amplitude. The method for obtaining the second amplitude of the tip is the same and will not be elaborated here.

[0044] In a possible embodiment, the determining the amplitude change rate of the suture according to the first amplitude and the second amplitude includes: obtaining the amplitude difference between the first amplitude and the second amplitude; determining the ratio of the amplitude difference to the second amplitude as the amplitude change rate of the suture.

[0045] It can be seen that in this embodiment, based on the amplitudes of the center and the tip of the suture to determine the amplitude change rate, the amplitude change rate can be obtained simply and quickly, improving the evaluation efficiency.

[0046] In a possible embodiment, the determining the porosity change rate of the target rock sample includes: obtaining the first porosity of the suture region and the second porosity of the matrix region included in the target rock sample; determining the porosity change rate according to the first porosity and the second porosity.

[0047] Among them, techniques such as mercury injection method, computed tomography (CT), or nuclear magnetic resonance (NMR) are used to obtain the first porosity and the second porosity of the target rock sample. Taking the use of CT to obtain porosity as an example, first, the CT image is obtained, and then the CT image is preprocessed, including noise removal: removing the noise that may be generated during the scanning process to obtain a clearer image. Image enhancement: enhancing the image contrast to make the solid part and the pore part easier to distinguish. Segmentation processing: segmenting the pore part (low-density area) and the solid part (high-density area) in the image, etc. Then, the preprocessed image is binarized, and then each pixel (or voxel) is marked. For example, the black pixels are set to 0 for the pore area, and the white pixels are set to 1 for the solid area. Finally, the number of pixels in the pore area is counted, and the volume ratio occupied by the pore area is calculated. For example, if the resolution of the pixel is known, the volume corresponding to each pixel can be calculated. The ratio of the total volume of the pores included in the suture region to the overall volume of the suture region is the first porosity. The calculation of the second porosity is as above and will not be elaborated here.

[0048] In a possible embodiment, determining the porosity change rate according to the first porosity and the second porosity includes: obtaining the porosity difference between the first porosity and the second porosity; determining the ratio of the porosity difference to the second porosity as the porosity change rate.

[0049] It can be seen that in this embodiment, by determining the porosity change rate based on the porosity of the suture area and the matrix porosity, the porosity change rate can be obtained simply and quickly, improving the evaluation efficiency.

[0050] In a possible embodiment, the method further includes: determining a length value of a target suture area from the center of a target suture, the target suture area belonging to the target suture, and the target suture being any one of multiple sutures included in the target rock sample; determining a regional maturity level of the target suture area according to the length value.

[0051] Among them, in addition to calculating the overall maturity level of the sutures in the target rock sample, the maturity of each suture area on each suture can also be evaluated separately. That is, if the target suture area is closer to the center, it can be considered that the maturity level of the target suture area is higher.

[0052] It can be seen that in this embodiment, by determining the maturity level of the suture area based on the distance between the suture area and the suture center, the comprehensiveness of the evaluation of the suture evolution stage can be enhanced.

[0053] Next, a device for classifying and evaluating the evolution stage of sutures in rocks provided by the present application will be described. The device for classifying and evaluating the evolution stage of sutures in rocks described below corresponds and refers to the method for classifying and evaluating the evolution stage of sutures in rocks described above.

[0054] Please refer to Figure 2 , Figure 2 is a schematic structural diagram of a device for classifying and evaluating the evolution stage of sutures in rocks provided by the present application. The device 200 for classifying and evaluating the evolution stage of sutures in rocks includes: a first determination unit 201 for determining the amplitude change rate of the sutures included in the target rock sample; a second determination unit 202 for determining the porosity change rate of the target rock sample; a third determination unit 203 for determining an overall maturity level of the sutures in the target rock sample according to the amplitude change rate and the porosity change rate, and the overall maturity level is used to evaluate the evolution stage of the sutures in the target rock sample.

[0055] In a possible embodiment, in terms of determining the overall maturity level of the sutures in the target rock sample based on the amplitude change rate and the porosity change rate, the third determining unit 203 is specifically configured to: determine the relative importance degrees of the amplitude change rate and the porosity change rate; determine a first weight coefficient corresponding to the amplitude change rate and a second weight coefficient corresponding to the porosity change rate according to the relative importance degrees, where the higher the relative importance degree, the larger the corresponding weight coefficient; and determine the overall maturity level of the sutures in the target rock sample according to the first weight coefficient, the second weight coefficient, the amplitude change rate, and the porosity change rate.

[0056] In a possible embodiment, in terms of determining the amplitude change rate of the sutures included in the target rock sample, the first determining unit 201 is specifically configured to: obtain a first amplitude at the center of the suture and a second amplitude at the tip of the suture; and determine the amplitude change rate of the suture according to the first amplitude and the second amplitude.

[0057] In a possible embodiment, in terms of determining the amplitude change rate of the suture according to the first amplitude and the second amplitude, the first determining unit 201 is specifically configured to: obtain the amplitude difference between the first amplitude and the second amplitude; and determine the ratio of the amplitude difference to the second amplitude as the amplitude change rate of the suture.

[0058] In a possible embodiment, in terms of determining the porosity change rate of the target rock sample, the second determining unit 202 is specifically configured to: obtain a first porosity of the suture region included in the target rock sample and a second porosity of the matrix region; and determine the porosity change rate according to the first porosity and the second porosity.

[0059] In a possible embodiment, in terms of determining the porosity change rate according to the first porosity and the second porosity, the second determining unit 202 is specifically configured to: obtain the porosity difference between the first porosity and the second porosity; and determine the ratio of the porosity difference to the second porosity as the porosity change rate.

[0060] In a possible embodiment, the device 200 for classifying and evaluating the evolution stage of sutures in a rock further includes a fourth determining unit, and the fourth determining unit is specifically configured to: determine a length value of a target suture region from the center of a target suture, where the target suture region belongs to the target suture, and the target suture is any one of multiple sutures included in the target rock sample; and determine the regional maturity level of the target suture region according to the length value.

[0061] Please refer toFigure 3 , Figure 3 is a schematic structural diagram of an electronic device provided by the present application. As Figure 3 shown, the electronic device may include: a processor 310, a communication interface 320, a memory 330, and a communication bus 340. Among them, the processor 310, the communication interface 320, and the memory 330 complete mutual communication through the communication bus 340. The processor 310 may call logical instructions in the memory 330 to execute a method for classifying and evaluating the evolution stage of sutures in rocks. The method includes: determining the amplitude change rate of the sutures included in the target rock sample; determining the porosity change rate of the target rock sample; determining the overall maturity level of the sutures in the target rock sample according to the amplitude change rate and the porosity change rate, and the overall maturity level is used to evaluate the evolution stage of the sutures in the target rock sample.

[0062] In addition, when the logical instructions in the above-mentioned memory 330 are implemented in the form of software functional units and sold or used as an independent product, they may be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of this technical solution, may be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The foregoing storage medium includes: various media such as a USB flash drive, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk, or an optical disc that can store program codes.

[0063] On the other hand, the present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, it is used to execute the method for classifying and evaluating the evolution stage of sutures in rocks provided by the above-mentioned methods. The method includes: determining the amplitude change rate of the sutures included in the target rock sample; determining the porosity change rate of the target rock sample; determining the overall maturity level of the sutures in the target rock sample according to the amplitude change rate and the porosity change rate, and the overall maturity level is used to evaluate the evolution stage of the sutures in the target rock sample.

[0064] In another aspect, the present application also provides a computer program product, including a computer program, which when executed by a processor, implements the method for classifying and evaluating the evolution stage of sutures in rocks as described in any one of the above, and the method includes: determining the amplitude change rate of the sutures included in the target rock sample; determining the porosity change rate of the target rock sample; determining the overall maturity level of the sutures in the target rock sample according to the amplitude change rate and the porosity change rate, and the overall maturity level is used to evaluate the evolution stage of the sutures in the target rock sample.

[0065] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art can understand and implement it without creative work.

[0066] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence, or the part that contributes to the prior art can be embodied in the form of a software product, and this computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disc, etc., including several instructions for causing 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.

[0067] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for classifying and evaluating the evolution stage of sutures in rocks, characterized in that, Including: Determine the amplitude change rate of the sutures included in the target rock sample; Obtain the first porosity of the suture area and the second porosity of the matrix area included in the target rock sample; Determine the porosity change rate according to the first porosity and the second porosity; Determine the relative importance of the amplitude change rate and the porosity change rate; Determine the first weight coefficient corresponding to the amplitude change rate and the second weight coefficient corresponding to the porosity change rate according to the relative importance, the higher the relative importance, the larger the corresponding weight coefficient, and the first weight coefficient and the second weight coefficient are determined according to the geological background; Determine the overall maturity level of the sutures in the target rock sample according to the first weight coefficient, the second weight coefficient, the amplitude change rate and the porosity change rate, and the overall maturity level is used to evaluate the evolution stage of the sutures in the target rock sample.

2. The method according to claim 1, wherein The determination of the amplitude change rate of the sutures included in the target rock sample includes: Obtain the first amplitude at the center of the suture and the second amplitude at the tip of the suture; Determine the amplitude change rate of the suture according to the first amplitude and the second amplitude.

3. The method according to claim 2, wherein The determination of the amplitude change rate of the suture according to the first amplitude and the second amplitude includes: Obtain the amplitude difference between the first amplitude and the second amplitude; Determine that the ratio of the amplitude difference to the second amplitude is the amplitude change rate of the suture.

4. The method according to claim 1, wherein The determination of the porosity change rate according to the first porosity and the second porosity includes: Obtain the porosity difference between the first porosity and the second porosity; Determine that the ratio of the porosity difference to the second porosity is the porosity change rate.

5. The method according to claim 1, wherein The method further includes: Determine the length value of the target suture area from the center of the target suture, the target suture area belongs to the target suture, and the target suture is any one of the multiple sutures included in the target rock sample; Determine the regional maturity level of the target suture area according to the length value.

6. A device for classifying and evaluating the evolution stage of sutures in rocks, characterized in that, Including: The first determination unit is used to determine the amplitude change rate of the sutures included in the target rock sample; The second determination unit is used to obtain the first porosity of the suture area and the second porosity of the matrix area included in the target rock sample; And is used to determine the porosity change rate according to the first porosity and the second porosity; The third determination unit is used to determine the relative importance of the amplitude change rate and the porosity change rate; And is used to determine the first weight coefficient corresponding to the amplitude change rate and the second weight coefficient corresponding to the porosity change rate according to the relative importance, the higher the relative importance, the larger the corresponding weight coefficient, and the first weight coefficient and the second weight coefficient are determined according to the geological background; And is used to determine the overall maturity level of the sutures in the target rock sample according to the first weight coefficient, the second weight coefficient, the amplitude change rate and the porosity change rate, and the overall maturity level is used to evaluate the evolution stage of the sutures in the target rock sample.

7. An electronic device, comprising a memory, a processor, and a computer program stored on the memory and running on the processor, characterized in that, When the processor executes the computer program, the method for classifying and evaluating the evolution stage of sutures in rocks according to any one of claims 1 to 5 is implemented.

8. 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 classifying and evaluating the evolution stage of sutures in rocks according to any one of claims 1 to 5 is implemented.

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