Method, device and equipment for identifying strike-slip fault and medium
By constructing a simulation model based on solid geological model and performing three-dimensional stereoscopic analysis, the problem of insufficient accuracy of strike-slip fault recognition in the existing technology is solved, and higher accuracy recognition is achieved, and multiple recognition operations are supported.
Patent Information
- Application Number
- CN202310944448.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2023-07-28
- Publication Date
- 2025-02-14
AI Technical Summary
The prior art lacks accuracy in identifying strike-slip faults, especially structural physics simulation experiments based on two-dimensional slice profile research, which contain less information and affects the accuracy of identification.
The strike-slip fault recognition method is used to construct a simulation model based on the profile image information of the solid geological model and perform three-dimensional analysis of the simulation model. This method can accurately determine whether there is a strike-slip fault on the base layer and improve the accuracy of identification.
Through three-dimensional analysis, this method significantly improves the accuracy of strike-slip fault recognition. Since the simulation model is a computer virtual model, it has the characteristics of reusability, so that the recognition of strike-slip faults can be carried out multiple times.
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Figure CN119439261A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of oil and gas exploration, and in particular to a method, device, equipment and medium for identifying a strike-slip fault. Background Art
[0002] The existence of strike-slip faults is of great significance for oil and gas exploration. If the strike-slip faults cut through the basement layer (thick-skinned structure), they may cause serious damage to existing deep oil and gas traps. If the strike-slip faults only develop in the overlying layer or inside the salt layer (thin-skinned structure), they may have no impact on the oil and gas traps. Therefore, how to identify strike-slip faults is a technical problem that needs to be solved urgently.
[0003] At present, the main scheme is to study the deformation of strike-slip fault geological structures based on structural physics simulation experiments. However, structural physics simulation experiments are conducted on two-dimensional slice sections of simulation experiments, which contain less information and affect the accuracy of strike-slip fault identification. Summary of the invention
[0004] The present invention provides a strike-slip fault identification method, device, equipment and medium, which can accurately determine whether a strike-slip fault exists in a basement layer.
[0005] According to one aspect of the present invention, a method for identifying a strike-slip fault is provided, the method comprising:
[0006] Constructing a simulation model based on the cross-sectional image information of a physical geological model; the physical geological model reflects the geological information of the target area;
[0007] The simulation model is subjected to strike-slip fault identification, and according to the identification result, it is determined whether there is a strike-slip fault in the basement layer of the target area.
[0008] According to another aspect of the present invention, there is provided a device for identifying a strike-slip fault, comprising:
[0009] A simulation model construction module is used to construct a simulation model based on the cross-sectional image information of a physical geological model; the physical geological model reflects the geological information of the target area;
[0010] The strike-slip fault identification module is used to identify the strike-slip faults in the simulation model and determine whether there is a strike-slip fault in the basement layer of the target area according to the identification result.
[0011] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:
[0012] at least one processor; and
[0013] a memory communicatively connected to the at least one processor; wherein,
[0014] The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the strike-slip fault identification method described in any embodiment of the present invention.
[0015] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the method for identifying a strike-slip fault according to any embodiment of the present invention when executed.
[0016] The technical solution of the embodiment of the present application includes: constructing a simulation model based on the cross-sectional image information of the physical geological model; the physical geological model reflects the geological information of the target area; performing strike-slip fault identification on the simulation model, and determining whether there is a strike-slip fault in the basement layer of the target area according to the identification result. The technical solution identifies the strike-slip fault on the simulation model, and the identification process is a three-dimensional analysis, so that the identification result is more accurate, and the simulation model is a computer virtual model, which is reusable, so that the identification of the strike-slip fault can be performed multiple times.
[0017] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS
[0018] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.
[0019] Figure 1 is a flow chart of a method for identifying a strike-slip fault provided according to Embodiment 1 of the present application;
[0020] Figure 2 is a flow chart of a method for identifying a strike-slip fault provided in accordance with the second embodiment of the present application;
[0021] Figure 3 is a schematic diagram of the basement layer position of a slice image according to a strike-slip fault identification method provided in Example 2 of the present application;
[0022] Figure 4 is a structural schematic diagram of a strike-slip fault identification device provided according to Embodiment 3 of the present application;
[0023] Figure 5It is a structural schematic diagram of an electronic device for implementing a strike-slip fault identification method according to an embodiment of the present application. DETAILED DESCRIPTION
[0024] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only embodiments of a part of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.
[0025] It should be noted that the terms "first", "second", "target", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily 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 devices.
[0026] Embodiment 1
[0027] Figure 1 A flowchart of a method for identifying a strike-slip fault is provided for the first embodiment of the present application. The embodiment of the present application can be applied to the case of identifying a strike-slip fault. The method can be executed by a strike-slip fault identification device. The strike-slip fault identification device can be implemented in the form of hardware and / or software. The strike-slip fault identification device can be configured in an electronic device with data processing capabilities. Figure 1 As shown, the method includes:
[0028] S110, constructing a simulation model based on the cross-sectional image information of the physical geological model; the physical geological model reflects the geological information of the target area.
[0029] Among them, the physical geological model can be constructed according to the geological information of the target area. The construction process of the physical geological model can reflect the geological evolution process. Therefore, the physical geological model can reflect the stratigraphic distribution information of the target area. The profile image information can be the image information of each profile of the physical geological model. Multiple profile image information can more comprehensively reflect the internal information of the physical geological model, that is, the geological information of the target area. The simulation model is a three-dimensional virtual model corresponding to the physical geological model. Since the physical geological model reflects the geological information of the target area, the simulation model also reflects the geological information of the target area.
[0030] Specifically, since the basement layer of the target area is usually a certain distance away from the surface, the relevant information of the basement layer is not easy to explore. Therefore, a physical simulation experiment can be used to construct a physical geological model that can reflect the geological information of the target area. Then, based on the cross-sectional image information of the physical geological model, a simulation model is constructed through three-dimensional reconstruction software, thereby obtaining a simulation model that can reflect the geological information of the target area.
[0031] In the embodiment of the present application, the physical geological model is constructed based on relevant geological information of the target area, such as stratum thickness, stratum evolution information, etc. Therefore, the basement layer part of the physical geological model corresponding to the target area can still reflect the geological evolution information even if it is located inside the model, that is, the strike-slip structure inside the physical geological model can reflect the strike-slip structure of the target area.
[0032] In the embodiment of the present application, the simulation model is a computer three-dimensional virtual model. The simulation model has the advantages of a lot of observable information and reusability, which are specifically reflected in the following aspects: the existing physical geological model cannot be restored after slicing, and the slicing angle is single. The embodiment of the present application avoids the above-mentioned shortcomings of the physical geological model by constructing a simulation model, and has the characteristics of being reusable (the simulation model can be restored after slicing) and containing more information (for example, the internal information of the simulation model can be obtained from different angles).
[0033] In the embodiment of the present application, optionally, before constructing the simulation model based on the cross-sectional image information of the physical geological model, the method further includes:
[0034] Performing electronic computer tomography scanning on the physical geological model to obtain cross-sectional image information of the physical geological model; and / or cutting the physical geological model to obtain a cut cross section of the physical geological model; acquiring image information of the cut cross section by a photographing device to obtain cross-sectional image information of the physical geological model.
[0035] The electronic computer tomography scan refers to CT scan. The photographing device may be a digital camera, a high-definition camera, or the like.
[0036] Specifically, in one feasible solution, the physical geological model can be subjected to electronic computed tomography scanning to obtain cross-sectional image information of the physical geological model, and this method will not damage the physical geological model. In another feasible solution, the cut cross section of the physical geological model can be photographed by a photographing device to obtain cross-sectional image information of the physical geological model. It should be noted that any of the above methods can be selected to obtain cross-sectional image information of the physical geological model according to actual conditions, and the specific method for obtaining cross-sectional image information of the physical geological model is not limited in the embodiment of the present application.
[0037] It should be noted that after obtaining the cross-sectional image information, some parameter adjustments may be required, such as adjusting the size of the cross-sectional images to be consistent, leveling the cross-sectional images, etc., and then constructing a simulation model based on the cross-sectional image information through computer software.
[0038] S120, performing strike-slip fault identification on the simulation model, and determining whether a strike-slip fault exists in the basement layer of the target area according to the identification result.
[0039] Among them, strike-slip fault identification refers to identifying whether there is a strike-slip fault in the basement layer of the simulation model. The basement layer of the simulation model can be identified by image processing to obtain an identification result.
[0040] Specifically, when constructing a physical geological model, the basement layer of the target area can be simulated using materials of the same material but different colors. For example, the color of the material is different at different heights. This arrangement ensures that when a strike-slip fault occurs in the basement layer of the physical geological model, the color distribution of the basement layer is no longer the same at the same height. Thus, image recognition can be used to determine whether a strike-slip fault occurs in the basement layer of the simulation model, that is, whether a strike-slip fault occurs in the basement layer of the target area.
[0041] Specifically, since the simulation model is a three-dimensional model, the basement layer corresponding to the simulation model can be pre-positioned. If image recognition is performed on different sections of the simulation model, and the result is that the colors of a certain height interval are the same, it can be determined that there is no strike-slip fault in the basement layer of the target area; otherwise, there is a strike-slip fault. It should be noted that image recognition can be performed from various angles of the three-dimensional model to obtain a recognition result.
[0042] The technical solution of the embodiment of the present application includes: constructing a simulation model based on the cross-sectional image information of the physical geological model; the physical geological model reflects the geological information of the target area; performing strike-slip fault identification on the simulation model, and determining whether there is a strike-slip fault in the basement layer of the target area according to the identification result. The technical solution identifies the strike-slip fault on the simulation model, and the identification process is a three-dimensional analysis, so that the identification result is more accurate, and the simulation model is a computer virtual model, which is reusable, so that the identification of the strike-slip fault can be performed multiple times.
[0043] In an embodiment of the present application, optionally, the method further includes: determining the layer thickness of the physical geological model according to the stratum thickness of the target area; determining the deformation amount of the physical geological model according to the geological shortening amount and / or geological tension amount of the target area; determining the deformation rate of constructing the physical geological model according to the geological shortening rate and / or geological tension rate of the target area; and constructing the physical geological model according to the layer thickness, deformation amount and deformation rate.
[0044] Among them, information such as the stratum thickness information of the target area, the geological shortening amount and / or geological tension amount of the target area, the geological shortening rate and / or geological tension rate of the target area reflects the geological evolution process of the target area. Based on the above information, a physical geological model reflecting the geological information of the target area can be established.
[0045] Exemplarily, geological evolution can be divided into plastic deformation and brittle deformation. Silica gel can be used to simulate plastic rock layers. For example, salt rock layers are plastic deformation strata. Dry loose quartz sand can be used to simulate brittle rock layers, such as subsalt basement layers and salt overburden layers. The physical geological model in the embodiment of the present application can be quartz sand-silica gel-quartz sand from top to bottom, simulating the salt overburden layer, salt rock and subsalt basement layer respectively. It should be noted that, as mentioned above, the quartz sand simulating the basement layer has different colors at different heights to reflect whether a strike-slip fault has occurred in the stratum in subsequent steps.
[0046] Exemplarily, based on the principle of similarity between the physical geological model and the natural prototype in geometry, kinematics and dynamics, according to the surface geological field outcrop data of the target area, exploration seismic profile drilling data, lithology distribution map and other data, combined with basic geological theory, the relevant parameters of the target area (stratum distribution, compression displacement, structural evolution time, compression rate, etc. of the target area) are determined; then, based on the principle of similarity, according to the stratum thickness of the target area, the layer thickness of the physical geological model is determined; according to the geological shortening and / or tensioning amount of the target area, the deformation amount of the physical geological model is determined; according to the geological shortening and / or tensioning rate of the target area, the deformation rate of the physical geological model is determined; and then, the physical geological model is constructed according to the layer thickness, deformation amount and deformation rate.
[0047] Embodiment 2
[0048] Figure 2 This is a flow chart of a strike-slip fault identification method provided in Example 2 of the present application. This embodiment of the present application optimizes the strike-slip fault identification based on the above embodiment.
[0049] like Figure 2 As shown, the method of the embodiment of the present application specifically includes the following steps:
[0050] S210, constructing a simulation model based on the cross-sectional image information of the physical geological model; the physical geological model reflects the geological information of the target area.
[0051] S220, slicing the simulation model to obtain slice image information.
[0052] The slice image information reflects the information contained in the cross-sectional image of the simulation model, and the slice image information can be obtained by computer slicing the simulation model. The computer slicing refers to using computer slicing technology to simulate the simulation model and obtain the sliced simulation model. The angle of slicing and the number of slicing are not limited in the embodiment of the present application. After obtaining the sliced simulation model, the image information of each section is the slice image information.
[0053] S230, performing strike-slip fault identification on the slice image information, and determining whether a strike-slip fault exists in the basement layer according to the identification result.
[0054] Specifically, in each slice image, a slice image including the intersection area of the salt rock and the basement layer can be selected for strike-slip fault identification. The above slice image can more clearly reflect the occurrence of the strike-slip fault, which is conducive to the identification of the strike-slip fault. In another feasible embodiment, the development position of the strike-slip fault is determined in advance, and the target slice image information containing the development position is determined in each slice image information, and then the strike-slip fault is identified on the target slice image information.
[0055] In an embodiment of the present application, optionally, slicing the simulation model to obtain slice image information includes: slicing the simulation model along a first cutting plane to obtain candidate slice image information; the first cutting plane is perpendicular to the virtual extrusion direction of the simulation model; the virtual extrusion direction of the simulation model corresponds to the extrusion direction of the physical geological model during the construction of the physical geological model. Performing strike-slip fault identification on the slice image information, and determining whether there is a strike-slip fault in the basement layer based on the identification result, includes: performing strike-slip fault identification on the candidate slice image information, and determining whether there is a strike-slip fault in the basement layer based on the identification result.
[0056] In the embodiment of the present application, the first cutting plane reflects the plane of cutting the simulation model, the number of the first cutting planes may be multiple, and the first cutting plane may be a plane perpendicular to the virtual extrusion direction of the simulation model. The virtual extrusion direction of the simulation model corresponds to the extrusion direction of the physical geological model in the process of constructing the physical geological model, which can be understood as follows: the extrusion direction of the physical geological model is relative to the physical geological model, and after the simulation model corresponding to the physical geological model is constructed, its extrusion direction is reflected as the virtual extrusion direction on the simulation model.
[0057] Specifically, the geological information reflected by the first cutting plane is relatively rich, and the geological structure of the basement layer is relatively clear and complete, so the slice image information obtained by slicing the simulation model along the first cutting plane is determined as the candidate slice image information, and then the strike-slip fault is identified based on the candidate slice image information to obtain a clearer and more complete identification result.
[0058] In an embodiment of the present application, optionally, strike-slip fault identification is performed on the slice image information, and based on the identification result, it is determined whether there is a strike-slip fault in the basement layer, including: if it is determined that in the slice image information, there is a misalignment in the color band at a pre-calibrated observation position, then the identification result is determined to be that there is a strike-slip fault in the basement layer; if it is determined that in the slice image information, there is no misalignment in the color band at the pre-calibrated observation position, then the identification result is determined to be that there is no strike-slip fault in the basement layer.
[0059] Among them, the pre-calibrated observation position can be determined according to actual conditions. For example, the preset interval of the slice image information from bottom to top, the observation position is the basement layer position, and the observation position can also be the development position of the strike-slip fault.
[0060] Furthermore, the color bands come from the fact that the quartz sand used to construct the physical geological model has various colors, that is, before the physical geological model is constructed, the color bands at the same height are the same, and the color bands at different heights are different. After the physical geological model is obtained by extrusion, the color bands may be misaligned. If it is determined that the color bands at the pre-calibrated observation positions in the slice image information are misaligned (there are more than two pixel values in a certain height interval (the slice image information is a black and white image), or the pixel values in the same height interval jump, etc.), it is determined that there are strike-slip faults in the basement layer, that is, thick-skinned strike-slip structures; if it is determined that the color bands at the pre-calibrated observation positions in the slice image information are not misaligned, it is determined that there are no strike-slip faults in the basement layer, that is, thin-skinned strike-slip structures.
[0061] For example, the schematic diagram of the basal layer position of the slice image is as follows Figure 3 shown.
[0062] Furthermore, when the strike-slip fault in the saline basin is a thin-skinned strike-slip structure, the subsalt basement layer does not participate in the deformation of the strike-slip structure, and the basement remains intact and regular. It can be further inferred that the evolution of this strike-slip structure has no impact and transformation on the deep subsalt oil and gas traps, and has not caused the destruction of the oil and gas traps. When the strike-slip fault in the saline basin is a thick-skinned strike-slip structure, the subsalt basement layer participates in the deformation of the strike-slip structure, and the basement is no longer intact. It can be further inferred that the evolution of this strike-slip structure may have an impact on the deep subsalt oil and gas traps, that is, the oil and gas traps may be destroyed.
[0063] The technical solution of the embodiment of the present application includes: constructing a simulation model based on the cross-sectional image information of the physical geological model; the physical geological model reflects the geological information of the target area; slicing the simulation model to obtain slice image information; performing strike-slip fault identification on the slice image information, and determining whether there is a strike-slip fault in the basement layer based on the identification result. The technical solution can clearly determine whether there is a strike-slip fault in the basement layer by performing strike-slip fault identification on the slice image information, and because the simulation model can be reused, slice image information at various angles can be obtained, making the identification of strike-slip faults more accurate.
[0064] In an embodiment of the present application, optionally, before constructing a simulation model based on the cross-sectional image information of the physical geological model, the method further includes: cutting the physical geological model along a second cutting plane to obtain the cross-sectional image information of the physical geological model; the normal vector of the second cutting plane is perpendicular to the extrusion direction of the physical geological model in the process of constructing the physical geological model.
[0065] The second cutting plane is a cutting plane of the physical geological model, the normal vector of the second cutting plane is perpendicular to the extrusion direction of the physical geological model in the process of constructing the physical geological model, and the number of the second cutting planes can be multiple, which is not limited in the embodiment of the present application. Compared with planes cut at other angles, the second cutting plane contains more geological information, so that the simulation model constructed subsequently can reflect more geological information.
[0066] Embodiment 3
[0067] Figure 4 This is a schematic diagram of the structure of a strike-slip fault identification device provided in the third embodiment of the present application. The device can execute the strike-slip fault identification method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method. Figure 4 As shown, the device comprises:
[0068] A simulation model construction module 310 is used to construct a simulation model based on the cross-sectional image information of the physical geological model; the physical geological model reflects the geological information of the target area;
[0069] The strike-slip fault identification module 320 is used to identify the strike-slip faults in the simulation model and determine whether there is a strike-slip fault in the basement layer of the target area according to the identification result.
[0070] In the embodiment of the present application, optionally, the strike-slip fault identification module 320 includes:
[0071] A slice image information determination unit, used for slicing the simulation model to obtain slice image information;
[0072] The strike-slip fault identification unit is used to perform strike-slip fault identification on the slice image information, and determine whether there is a strike-slip fault in the basement layer according to the identification result.
[0073] In the embodiment of the present application, optionally, the slice image information determining unit includes:
[0074] The candidate slice image information determination subunit is used to slice the simulation model along a first cutting plane to obtain candidate slice image information; the first cutting plane is perpendicular to the virtual extrusion direction of the simulation model; the virtual extrusion direction of the simulation model corresponds to the extrusion direction of the physical geological model in the process of constructing the physical geological model;
[0075] Strike-slip fault identification unit, including:
[0076] The strike-slip fault identification subunit is used to identify the strike-slip fault on the candidate slice image information, and determine whether there is a strike-slip fault in the basement layer according to the identification result.
[0077] In the embodiment of the present application, optionally, the strike-slip fault identification unit includes:
[0078] A first recognition result determination subunit is used to determine that a strike-slip fault exists in the basement layer if it is determined that a color band at a pre-calibrated observation position in the slice image information is misaligned;
[0079] The second recognition result determination subunit is used to determine that the recognition result is that there is no strike-slip fault in the basement layer if it is determined that there is no misalignment of the color band at the pre-calibrated observation position in the slice image information.
[0080] In the embodiment of the present application, optionally, the device further includes:
[0081] The section image information determination module is used to cut the solid geological model along the second cutting plane to obtain the section image information of the solid geological model; the normal vector of the second cutting plane is perpendicular to the extrusion direction of the solid geological model in the process of constructing the solid geological model.
[0082] In the embodiment of the present application, optionally, the device further includes:
[0083] A layer thickness determination module, used to determine the layer thickness of the physical geological model according to the layer thickness of the target area;
[0084] A deformation determination module, used to determine the deformation of the physical geological model according to the geological shortening and / or geological tension of the target area;
[0085] A deformation rate determination module, used for determining the deformation rate of the physical geological model according to the geological shortening rate and / or geological stretching rate of the target area;
[0086] The physical geological model building module is used to build the physical geological model according to the layer thickness, deformation amount and deformation rate.
[0087] In the embodiment of the present application, optionally, the device further includes:
[0088] A profile image information acquisition module is used to perform electronic computer tomography scanning on the physical geological model to obtain profile image information of the physical geological model; and / or
[0089] Cutting the physical geological model to obtain a cutting section of the physical geological model;
[0090] The image information of the cut section is collected by a shooting device to obtain the section image information of the physical geological model.
[0091] A strike-slip fault identification device provided in an embodiment of the present application can execute a strike-slip fault identification method provided in any embodiment of the present invention, and has functional modules and beneficial effects corresponding to the execution method.
[0092] Embodiment 4
[0093] Figure 5 A schematic diagram of the structure of an electronic device 10 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.
[0094] like Figure 5As shown, the electronic device 10 includes at least one processor 11, and a memory connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 to the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.
[0095] A number of components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.
[0096] The processor 11 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as a method for identifying a strike-slip fault.
[0097] In some embodiments, the strike-slip fault identification method may be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the strike-slip fault identification method described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the strike-slip fault identification method in any other appropriate manner (e.g., by means of firmware).
[0098] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.
[0099] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.
[0100] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in combination with an instruction execution system, device or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
[0101] To provide interaction with a user, the systems and techniques described herein may be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).
[0102] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.
[0103] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.
[0104] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.
[0105] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims
1. A method for identifying a strike-slip fault, characterized in that: include: Constructing a simulation model based on the cross-sectional image information of a physical geological model; the physical geological model reflects the geological information of the target area; The simulation model is subjected to strike-slip fault identification, and according to the identification result, it is determined whether there is a strike-slip fault in the basement layer of the target area.
2. The method according to claim 1, characterized in that Performing strike-slip fault identification on the simulation model and determining whether there is a strike-slip fault in the basement layer of the target area according to the identification result includes: Slicing the simulation model to obtain slice image information; The strike-slip fault is identified on the slice image information, and whether there is a strike-slip fault in the basement layer is determined according to the identification result.
3. The method according to claim 2, characterized in that Slicing the simulation model to obtain slice image information includes: Slicing the simulation model along a first cutting plane to obtain candidate slice image information; the first cutting plane is perpendicular to a virtual extrusion direction of the simulation model; the virtual extrusion direction of the simulation model corresponds to an extrusion direction of the physical geological model in the process of constructing the physical geological model; Performing strike-slip fault identification on the slice image information and determining whether there is a strike-slip fault in the basement layer according to the identification result includes: Perform strike-slip fault identification on the candidate slice image information, and determine whether there is a strike-slip fault in the basement layer based on the identification result.
4. The method according to claim 2, characterized in that: Performing strike-slip fault identification on the slice image information and determining whether there is a strike-slip fault in the basement layer according to the identification result includes: If it is determined that the color band at the pre-calibrated observation position in the slice image information is misaligned, then the identification result is determined to be that a strike-slip fault exists in the basement layer; If it is determined that there is no misalignment of the color band at the pre-calibrated observation position in the slice image information, then the identification result is determined to be that there is no strike-slip fault in the basement layer.
5. The method according to claim 1, characterized in that Before constructing the simulation model based on the cross-sectional image information of the physical geological model, the method further includes: The solid geological model is cut along a second cutting plane to obtain cross-sectional image information of the solid geological model; a normal vector of the second cutting plane is perpendicular to an extrusion direction of the solid geological model in the process of constructing the solid geological model.
6. The method according to claim 1, characterized in that The method further comprises: Determining the layer thickness of the physical geological model according to the layer thickness of the target area; Determining the deformation amount of the physical geological model according to the geological shortening amount and / or geological tension amount of the target area; Determine the deformation rate of the physical geological model according to the geological shortening rate and / or geological stretching rate of the target area; The solid geological model is constructed according to the layer thickness, deformation amount and deformation rate.
7. The method according to claim 1, characterized in that Before constructing the simulation model based on the cross-sectional image information of the physical geological model, the method further includes: Performing computer tomography scanning on the physical geological model to obtain cross-sectional image information of the physical geological model; and / or Cutting the physical geological model to obtain a cutting section of the physical geological model; The image information of the cut section is collected by a shooting device to obtain the section image information of the physical geological model.
8. A strike-slip fault identification device, characterized in that: include: A simulation model construction module is used to construct a simulation model based on the cross-sectional image information of a physical geological model; the physical geological model reflects the geological information of the target area; The strike-slip fault identification module is used to identify the strike-slip faults in the simulation model and determine whether there is a strike-slip fault in the basement layer of the target area according to the identification result.
9. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can perform the strike-slip fault identification method according to any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the method for identifying a strike-slip fault according to any one of claims 1 to 7 when the instructions are executed.