Strike-slip fracture structure simulation method, system and equipment, storage medium and program product

Abstract

The invention provides a strike-slip fracture structure simulation method, system and device, a storage medium and a program product. The method comprises the following steps: acquiring physical simulation data and numerical simulation data of a target area with a strike-slip fracture structure; obtaining deformation characteristic data of each stratum of the target area sent by the simulation equipment, wherein the deformation characteristic data is obtained after the simulation equipment simulates the stratum structure deformation process of the target area based on the physical simulation data from the processing equipment; simulating a stratum fracture evolution process of the target area based on the numerical simulation data to obtain fracture form data of each stratum of the target area, the fracture form data being used for indicating form changes caused by fracture of each stratum in a plurality of evolution stages; and based on the deformation characteristic data and the fracture form data, constructing a strike-slip fracture model about the target area, the strike-slip fracture model being used for describing a strike-slip fracture structure of the target area. According to the method, the accuracy of strike-slip fracture structure simulation is improved.

Description

Technical Field

[0001] This application relates to geological exploration technology, and more particularly to a method, system, device, storage medium, and program product for simulating strike-slip fault structures. Background Technology

[0002] With the development of geological exploration technology, simulating geological structures often helps in the exploration and development of resources such as oil and gas and minerals, and in-depth research on geological structures is crucial.

[0003] Existing methods for simulating geological structures often employ finite difference method, finite element method, boundary element method, lattice Boltzmann method or discrete element method for numerical simulation of geological structures, and sandbox simulation, wax simulation, centrifugal simulation or fluid simulation for physical simulation of geological structures. Using a single method for physical or numerical simulation results in relatively simple models that cannot accurately describe complex geological structures, especially strike-slip structures in fault systems. This greatly limits the accuracy of geological structure simulation. Summary of the Invention

[0004] This application provides a method, system, device, storage medium, and program product for simulating strike-slip fault structures, in order to solve the problem that existing geological structure simulation technologies cannot accurately describe complex geological structures.

[0005] Firstly, this application provides a method for simulating strike-slip fracture structures, including:

[0006] Acquire physical simulation data and numerical simulation data of the target area with strike-slip fault structures. The physical simulation data is used to simulate the relevant data required for the deformation process of the stratigraphic structure.

[0007] Deformation characteristic data of various strata in the target area are obtained, and the deformation characteristic data are obtained based on the physical simulation data and after simulating the stratigraphic deformation process of the target area.

[0008] The numerical simulation data is used to simulate the stratigraphic fracture evolution process of the target area to obtain fracture morphology data of each stratum in the target area. The fracture morphology data is used to indicate the morphological changes caused by fractures in each stratum at multiple evolution stages.

[0009] Based on the deformation characteristic data and the fracture morphology data, a strike-slip fracture model for the target region is obtained, which describes the strike-slip fracture structure of the target region. In one possible implementation, obtaining the deformation characteristic data of various strata in the target region sent by the simulation device includes:

[0010] Based on the physical simulation data, a stratigraphic simulation model is obtained, which is used to simulate each stratum in the target region; and tectonic forces indicating relative movement on both sides of a fault are applied to the stratigraphic simulation model to simulate the tectonic deformation process in the target region. The simulated stratigraphic simulation model is then sliced ​​for analysis to obtain deformation characteristic data for each stratum, including cross-sectional deformation characteristics. In one possible implementation, obtaining the physical simulation data for the target region with strike-slip fault structures includes:

[0011] Acquire seismic data and well logging data for the target area;

[0012] Based on the earthquake data, geological feature data are determined;

[0013] Based on the well logging data, the geological feature data, and the reflection layer characteristics recorded in the seismic data, the geological strata and geological structure data of each reflection layer are determined;

[0014] Based on the geological structure data, the physical simulation data is determined. In one possible implementation, obtaining numerical simulation data of the target area with strike-slip fault structures includes:

[0015] The characteristic parameters of the spherical particles are obtained, and the model parameters of the particle contact model and the mechanical parameters between the spherical particles and the boundary are determined; the spherical particles are used to simulate rocks in strata with strike-slip fault structures in the target area; the particle contact model is used to describe the contact relationship between the spherical particles.

[0016] Based on the geological structure data, determine the simulated thickness associated with each stratum at any specified evolutionary stage;

[0017] Based on the characteristic parameters, model parameters, mechanical parameters, and simulated thickness, numerical simulation data is determined. In one possible implementation, simulating the stratigraphic fracture evolution process of the target area based on the numerical simulation data to obtain fracture morphology data of each stratum in the target area includes:

[0018] Based on the numerical simulation data, spherical particles with distinguishing markings are used to mark the fault blocks located on both sides of the fault in the strike-slip fracture structure, and particle samples are used to fill the fault to form a particle model.

[0019] According to the preset motion conditions, the motion simulation is performed on the spherical particles related to the fracture disk in the particle model, and based on the simulation thickness, the fracture evolution process of the strike-slip fracture structure in the target area is simulated in multiple evolution stages to obtain fracture morphology data of each stratum. The motion conditions include the same motion speed and relative motion direction, and the fracture morphology data includes structural morphology data, strain data and stress data under multiple evolution stages.

[0020] In one possible implementation, obtaining a strike-slip fracture model for the target region based on the deformation feature data and the fracture morphology data includes:

[0021] Based on the earthquake data, a structural interpretation model is determined, which is used to indicate the planar analytical and spatial morphology of the strike-slip fault structure.

[0022] Based on the deformation characteristic data, the fracture morphology data, the geological structure data, and the interpretation model, a strike-slip fracture model is constructed for the strike-slip fracture structure.

[0023] In one possible implementation, constructing a strike-slip fracture model for the target region based on the deformation feature data and the fracture morphology data further includes:

[0024] Based on the earthquake data, the seismic profile features of the target area are extracted;

[0025] Calculate the similarity between the hierarchical slices of the strike-slip fault model and the seismic profile features;

[0026] When the similarity is lower than a preset similarity threshold, the simulation parameters used in the simulation process are adjusted until the similarity exceeds the similarity threshold. The simulation parameters include one or more of the physical simulation data, the numerical simulation data, the structuring force, and the motion speed.

[0027] In one possible implementation, the method further includes:

[0028] The deformation feature data is used to visualize the deformation process.

[0029] The fracture morphology data is quantitatively analyzed using a preset image processing model to generate video frames that demonstrate the fracture evolution process.

[0030] Secondly, this application provides a strike-slip fracture structure simulation system, including: processing equipment and simulation equipment;

[0031] The processing device is used to acquire physical simulation data and send the physical simulation data to the simulation device;

[0032] The simulation equipment is used to simulate each stratum in the target area based on the physical simulation data, in order to establish a stratum simulation model;

[0033] The processing device is further configured to obtain a strike-slip fracture model based on the physical simulation data and the formation simulation model using the strike-slip fracture structure simulation method as described in any one of claims 1-8. In a third aspect, this application provides an electronic device, comprising: a processor, and a memory communicatively connected to the processor;

[0034] The memory stores computer-executed instructions;

[0035] The processor executes computer execution instructions stored in the memory to implement the strike-slip fracture structure simulation method as described in any of the above embodiments.

[0036] Fourthly, embodiments of this application provide a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, are used to implement the strike-slip fracture structure simulation method as described in any of the above embodiments.

[0037] Fifthly, embodiments of this application provide a computer program product, including a computer program that, when executed by a processor, implements the strike-slip fracture structure simulation method as described in any of the above embodiments.

[0038] The strike-slip fault structure simulation method provided in this application acquires physical simulation data and numerical simulation data of a target region with strike-slip fault structures. The physical simulation data is used to simulate the relevant data required for simulating the stratigraphic deformation process, and the numerical simulation data is used to simulate the relevant data required for simulating the stratigraphic fault evolution process. Then, it acquires deformation characteristic data of various strata in the target region sent by the simulation device. This deformation characteristic data is obtained by the simulation device simulating the stratigraphic deformation process of the target region based on the physical simulation data from the processing device. Finally, it simulates the stratigraphic fault evolution process of the target region based on the numerical simulation data to obtain fault morphology data of various strata in the target region. Based on the deformation characteristic data and the fracture morphology data, a strike-slip fault model for the target region is constructed to indicate the morphological changes caused by fractures in various strata at multiple evolution stages. This strike-slip fault model describes the strike-slip fault structure of the target region. Considering the structural features and the correlation between the fracture evolution morphology features of complex strike-slip fault structures under different simulation methods, the limitations of a single simulation method are reduced. It can accurately simulate the distributed growth of strike-slip faults at multiple evolution stages and the deformation of strata at both ends of the strike-slip fault, improving the comprehensiveness and reliability of the strike-slip fault model description and solving the problem that existing geological structure simulation technologies cannot accurately simulate complex geological structures. Attached Figure Description

[0039] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0040] Figure 1 This application scenario illustrates a strike-slip fracture structure simulation method provided in this embodiment.

[0041] Figure 2 A flowchart illustrating a strike-slip fracture structure simulation method provided in this application embodiment;

[0042] Figure 3 A schematic diagram of a physical simulation experiment provided in an embodiment of this application;

[0043] Figure 4 A plan view of the physical simulation results and a corresponding explanatory diagram provided for an exemplary embodiment of this application;

[0044] Figure 5 A schematic diagram of a construction deformation process provided for another exemplary embodiment of this application;

[0045] Figure 6 A schematic diagram illustrating the cross-sectional deformation characteristics of a strike-slip fracture structure provided in an embodiment of this application;

[0046] Figure 7 A schematic diagram of the particle model in the numerical simulation experiment provided in the embodiments of this application;

[0047] Figure 8 A schematic diagram of the fracture evolution process of a flower-like structure in a strike-slip fracture profile, provided as another exemplary embodiment of this application;

[0048] Figure 9 A schematic diagram of a structural interpretation model of a strike-slip fault structure in a certain region, provided as an exemplary embodiment of this application;

[0049] Figure 10 A planar analytical schematic diagram of a strike-slip fracture structure with respect to the entire layer system, provided as an exemplary embodiment of this application;

[0050] Figure 11 A schematic diagram comparing the hierarchical slices and seismic profile features of the strike-slip fault model provided in the embodiments of this application;

[0051] Figure 12 A schematic diagram illustrating the fracture evolution process of the F-7 fault during the Late Cambrian period, provided for an embodiment of this application;

[0052] Figure 13 A schematic diagram illustrating the fracture evolution process of the F-7 fault during the Middle to Late Ordovician period, provided as an embodiment of this application;

[0053] Figure 14 A schematic diagram illustrating the fault evolution process of the F-7 fault during the Middle Silurian-Devonian period, provided for an embodiment of this application;

[0054] Figure 15 This is a schematic diagram of a strike-slip fracture structure simulation system provided in an embodiment of this application;

[0055] Figure 16 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application.

[0056] The accompanying drawings illustrate specific embodiments of this application, which will be described in more detail below. These drawings and descriptions are not intended to limit the scope of the concept in any way, but rather to illustrate the concept of this application to those skilled in the art through reference to particular embodiments. Detailed Implementation

[0057] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0058] First, let me explain the terms used in this application:

[0059] Strike-slip faults are fractures that occur when the two sides of a fault move horizontally relative to each other under the action of a couple, caused by the action of a torsional or shear stress field on the Earth's crust.

[0060] Fault: A structure in which the Earth's crust fractures under stress, resulting in significant relative displacement of rock blocks on both sides of the fracture surface.

[0061] Strike-slip faults are large-scale strike-slip faults, where the two sides of the fault move relative to each other along the strike of the fault plane. Their main characteristics are a straight, smooth, nearly vertical fault plane and prominent shear properties. Depending on the direction of relative movement of the two sides, they can be divided into left-lateral (rotational) strike-slip faults and right-lateral (rotational) strike-slip faults. The fractures that occur in strike-slip faults are called strike-slip fractures.

[0062] Fault plate: refers to the rock mass on both sides of a fault plane that has undergone relative displacement. When the fault plane is inclined, the part above the fault plane is called the hanging wall, and the part below it is called the footwall. When the fault plane is nearly vertical, they are referred to by their orientation, such as the east plate and the west plate. Alternatively, based on the relative movement of the two plates, the relatively rising one is called the rising plate, and the relatively falling one is called the falling plate.

[0063] Physical simulations typically include sandbox simulations, wax simulations, centrifuge simulations, and fluid simulations. Sandbox simulations allow for direct observation of crustal deformation and fault movement, but the model materials may differ from the physical and mechanical properties of the real crust, potentially leading to scale effects. Wax simulations can simulate large deformations and nonlinear behavior, but the temperature and stress conditions of the model materials may differ from the real crust, requiring calibration and interpretation. Centrifuge simulations can simulate realistic physical and mechanical conditions, but require specific equipment and techniques, and the model's scale and time may differ from reality. Fluid simulations can simulate realistic fluid dynamics and thermodynamic processes, but the model's physical and chemical conditions may differ from the real crust, potentially leading to scale effects.

[0064] Numerical simulations typically include the Finite Difference Method (FDM), Finite Element Method (FEM), Boundary Element Method (BEM), Lattice Boltzmann Method (LBM), and Discrete Element Method (DEM). Among these, the Finite Difference Method is commonly used for earthquake simulation and early warning systems, but it requires very fine meshes and is computationally intensive for complex geological structures and inhomogeneous media. The Finite Element Method is frequently used for crustal deformation, fault movement, and stress analysis, but it requires complex mesh generation and extensive computation, especially for three-dimensional problems. The Boundary Element Method is often used to simulate fault slip and earthquake source mechanisms, but it requires iteration and complex calculations for nonlinear and multibody interaction problems. The Lattice Boltzmann Method can handle multiphase flow, heat conduction, and material fracture, but it requires specific models and parameters, and complex models are needed for nonlinear and multiphysics problems. The Discrete Element Method requires a large number of particles or elements, is computationally intensive, and is not suitable for continuous media and large-scale problems.

[0065] In other words, both physical and numerical simulations have their own limitations. Existing geological structure simulation methods rely on either physical or numerical simulations, resulting in relatively singular simulation approaches. However, strike-slip fault structures have undergone multiple phases of tectonic activity, leading to exceptionally complex geological deformations within them, and exhibiting superimposed characteristics of multiple evolutionary stages. This means that due to the limitations of physical or numerical simulations, a single simulation method cannot fully capture the complexity of the strike-slip fault structure, making it difficult to accurately and comprehensively describe it.

[0066] Based on the above problems, this application combines physical simulation and numerical simulation methods to construct a geological structure model using the results of physical and numerical simulations. Considering the correlation and differences in the structural features presented by complex geological structures under different simulation methods, they can complement and optimize each other, reduce the limitations of a single simulation method, and improve the comprehensiveness and reliability of the geological structure model description.

[0067] Furthermore, one application scenario of this application embodiment is as follows: Figure 1 The embodiments of this application are executed as follows: Figure 1 The processing device 11 and the simulation device 12 shown acquire physical simulation data for physical simulation and numerical simulation data for numerical simulation of the target region with strike-slip fracture structure through the processing device 11, and send the physical simulation data to the simulation device 12.

[0068] Subsequently, the simulation device 12 performs physical simulation based on the physical simulation data to simulate the deformation process of the stratigraphic structure. Simultaneously, the processing device performs numerical simulation based on the numerical simulation data to simulate the evolution process of stratigraphic fractures. Based on the numerical simulation results and the physical simulation results returned by the simulation device, the processing device 11 constructs a strike-slip fracture model for the target area, accurately simulating complex strike-slip fracture structures.

[0069] The simulation device 12 and the processing device 11 are linked via a communication network, and the simulation device 12 and the processing device 11 can be directly or indirectly connected via wired or wireless communication, which is not limited in this application. The simulation device 12 is equipped with the devices required to realize physical simulations such as sandbox simulation, wax simulation, and fluid simulation, such as terminal devices, motors, centrifuges, sandboxes, etc. The terminal device can be a smartphone, tablet computer, laptop computer, desktop computer, smart wearable device, etc., which is not limited in this embodiment of the application. For example, the terminal device in the simulation device 12 can realize functions such as displaying physical simulation parameters and physical simulation results (such as deformation characteristic data), and setting and interacting with physical simulation data.

[0070] The processing device 11 can be any electronic device with data interaction and data processing functions. The processing device 11 can be an independent electronic device or an electronic device cluster or distributed system composed of multiple electronic devices. The electronic device can be a smartphone, tablet computer, laptop computer, desktop computer, etc., without limitation.

[0071] Therefore, by facilitating data interaction between the simulation and processing equipment, and by performing physical simulations of stratigraphic deformation processes using the simulation equipment and numerical simulations of stratigraphic fracture evolution processes using the processing equipment, the results of both physical and numerical simulations are combined to construct a strike-slip fault model of the target region, thereby improving the accuracy of geological structural simulation.

[0072] It should be noted that the embodiments of this application can be applied to any region with strike-slip fracture structures, and the embodiments of this application do not limit the specific application scenarios.

[0073] Figure 2 This is a flowchart illustrating a strike-slip fracture structure simulation method provided in an embodiment of this application. The strike-slip fracture structure simulation method is used for processing equipment and includes the following steps S201 to S204.

[0074] S201. Obtain physical simulation data and numerical simulation data of the target area with strike-slip fault structure. The physical simulation data is used to simulate the relevant data required for the deformation process of the stratigraphic structure.

[0075] The numerical simulation data can be used to simulate the evolution of stratigraphic fractures. This application is applied to regions with strike-slip fault structures. Accordingly, the physical simulation data includes, but is not limited to, the simulated stratigraphic thickness, simulated stratigraphic materials, and the physical properties corresponding to each simulated stratigraphic material contained in the region with strike-slip fault structures.

[0076] The formation simulation material can include materials such as quartz sand, glass microspheres, and silica gel. Its physical properties can include friction characteristics, internal friction angle, cohesion, and density. Optionally, to accurately simulate formation deformation processes, including deformation processes and fault slip processes, the physical simulation data can also include geological structural morphology, spatial location, lithology, geological phenomenon characteristics, formation thickness of each stratum, and interlayer characteristics used to characterize the contact relationships between strata.

[0077] In numerical simulation, to accurately simulate the evolution of stratigraphic faults (including the development and deformation of strike-slip fault structures in different geological periods or under different stress conditions), spherical particles are used to simulate the rocks of various strata in the target area, and the simulated thickness of the strata is selected to simulate each evolution period.

[0078] Therefore, by reflecting the geometric shape of spherical particles after being subjected to force, it is possible to intuitively simulate the morphological changes of complex strata and faults in multiple geological periods or under different forces. The numerical simulation data includes relevant data of spherical particles, including characteristic parameters of spherical particles used to characterize the physical characteristics of the spherical particles themselves, the interaction relationships between particles, and the mechanical characteristics between spherical particles and boundaries.

[0079] Optionally, the sources of the physical simulation data and numerical simulation data in this application may include external terminal devices, the processing device, and the simulation device, etc., and this application does not limit this. For example, the external terminal device may be an electronic device with data acquisition capabilities, such as a smartphone or computer, and may include acquiring user input data through the external terminal device. It may also include generating corresponding data through a parameter configuration table configured within the external terminal device itself.

[0080] S202. Obtain deformation characteristic data of various strata in the target area. The deformation characteristic data is obtained based on the physical simulation data and after simulating the geological deformation process of the target area.

[0081] In this application, the processing device acquires physical simulation parameters and sends them to the simulation device, which then uses these parameters to simulate the stratigraphic structure of the target area. Subsequently, the processing device applies external stress to simulate the stratigraphic deformation process and generates data on the formation and development of strike-slip faults and folds. Deformation characteristic data characterizes the stratigraphic deformation under external stress; this deformation may include, but is not limited to, fault deformation data reflecting fault movement. The processing device integrates and analyzes the physical and numerical simulation results based on the deformation characteristic data to accurately simulate the strike-slip fault structure of the target area.

[0082] S203. Simulate the stratigraphic fault evolution process of the target area based on the numerical simulation data to obtain fault morphology data of each stratum in the target area. The fault morphology data is used to indicate the morphological changes caused by the faulting of each stratum at multiple evolution stages.

[0083] In this application, the processing device performs numerical simulation based on numerical simulation data, that is, it uses spherical particles to simulate the rocks of various strata in the target area, and reflects the deformation process of strata and faults by observing the morphological changes of spherical particles under different stress conditions. At the same time, it can accurately simulate the development and deformation process of strata over time to generate fracture morphology data.

[0084] S204. Based on the deformation characteristic data and the fracture morphology data, obtain a strike-slip fracture model for the target region. The strike-slip fracture model is used to describe the strike-slip fracture structure of the target region.

[0085] In this application, the structural deformation characteristics and fission morphology change data obtained under different simulation methods are combined to make up for the shortcomings of a single model, reduce the limitations of a single simulation method, realize mutual verification and supplementation, improve the robustness of the constructed strike-slip fracture model, and comprehensively consider the correlation between physical simulation results and numerical simulation results, which can more comprehensively reveal the potential connections and laws of structural morphology changes, and help improve the accuracy of describing the strike-slip fracture model.

[0086] The strike-slip fault simulation method provided in this embodiment simulates the deformation process of stratigraphic structures through physical simulation and the evolution process of stratigraphic faults through numerical simulation. Considering the correlation between the structural features and fault evolution morphology of complex strike-slip fault structures under different simulation methods, it reduces the limitations of a single simulation method. It can accurately simulate the distributed growth of strike-slip faults and the deformation of strata at both ends of the strike-slip fault at multiple evolution stages, improving the comprehensiveness and reliability of the strike-slip fault model description. The final strike-slip fault model can be compared with the lithology of actual strata, accurately simulating the distributed growth of strike-slip faults and the deformation of strata at both ends of the strike-slip fault, solving the problem that existing geological structure simulation technology cannot accurately simulate complex geological structures. Furthermore, the repeatability of the strike-slip fault model can support multiple simulations under the same initial and boundary conditions without repeating physical simulation experiments, thus saving a lot of manpower and resources.

[0087] In some embodiments, step S201 involves obtaining physical simulation data of the target region with a strike-slip fracture structure through the following steps:

[0088] Acquire seismic data and well logging data for the target area;

[0089] Based on the earthquake data, geological feature data are determined, including geological structural morphology, spatial location, lithology, geological phenomenon characteristics, stratigraphic thickness of each stratum, and interlayer characteristics used to characterize the contact relationship between strata.

[0090] Based on the well logging data and the reflection layer characteristics recorded in the seismic data, the geological strata of each reflection layer are determined;

[0091] Based on the geological feature data and the geological stratigraphic position of the reflective layer, the geological structure data is determined;

[0092] Based on the geological structure data, the physical simulation data is determined, which includes the simulated stratum thickness, the simulated stratum material, and the corresponding physical properties.

[0093] In this embodiment, the seismic profile characteristics of the target area are used as a reference group to analyze the seismic data, obtaining geological structure data (including geological feature data and the geological strata of the reflection layer), which are treated as invariants. This ensures that the stratigraphic structure of the experimental group and the reference group remains consistent, helping to ensure the consistency and repeatability of the experimental simulation conditions. Simultaneously, it ensures that there are only one or more experimental variables between the reference group and the experimental group, such as physical simulation data (simulated stratum thickness, stratum simulation materials, and corresponding physical properties of the stratum simulation materials), thereby enhancing the reliability and effectiveness of the simulation results.

[0094] Specifically, based on the physical simulation data, formation simulation materials are selected according to rheological properties, including quartz sand, glass microspheres, and silica gel. These physical properties include the frictional characteristics, internal friction angle, cohesion, and density of the formation simulation materials. Simultaneously, the selection of this physical simulation data adheres to the principles of geometric, kinematic, and dynamic similarity, achieving the simulation of the physical and mechanical properties of real formations and improving the accuracy of structural simulation.

[0095] Optionally, the sources of seismic data and well logging data in this embodiment may include external terminal equipment, the processing equipment, and the simulation equipment, etc., and this application does not limit them.

[0096] In some embodiments, step S202 involves obtaining deformation feature data of various strata in the target area sent by the simulation device through the following steps:

[0097] The physical simulation data is sent to the simulation device, which then simulates each stratum in the target area based on the physical simulation data to establish a stratigraphic simulation model. Tectonic forces that indicate relative movement on both sides of a fault are applied to the stratigraphic simulation model to simulate the tectonic deformation process in the target area. The simulated stratigraphic simulation model is sliced ​​and analyzed to obtain deformation characteristic data of each stratum, which is then sent to the processing device. The deformation characteristic data includes cross-sectional deformation characteristics.

[0098] In this embodiment, the processing device sends physical simulation parameters to the simulation device. Based on geological structural data considered as invariant and these physical simulation parameters considered as experimental variables, the simulation device generates a stratigraphic simulation model describing the structural conditions of various strata in the target area (such as simulated stratum thickness, simulated stratum materials, corresponding physical properties, geological structural morphology, spatial location, lithology, geological phenomena, and interlayer characteristics used to characterize the contact relationships between strata). This ensures that the simulation closely matches actual geological conditions and guarantees the consistency and repeatability of the physical simulation.

[0099] Furthermore, the simulation equipment is equipped with the necessary devices for physical simulations such as sandbox simulation, wax simulation, and fluid simulation. In this embodiment, the simulation equipment includes at least a motor and a terminal device, which can be an electronic device with functions such as data display, data processing, and data interaction. The motor is used to drive the geological simulation model to move, simulating the process of geological deformation and fault movement.

[0100] For example, such as Figure 3As shown, the simulation equipment includes motor 1, motor 2, movable baffle 1, movable baffle 2, and a rigid base, which may include a steel plate. A formation simulation model is established using formation simulation materials (including quartz sand and silica gel) and simulated formation thickness. The formation simulation model includes sequentially stacked quartz sand and silica gel layers. The simulated formation thickness of the quartz sand layers can be 0.5 cm and 1 cm, and the simulated bottom layer thickness of the silica gel layer can be 0.5 cm.

[0101] like Figure 3 As shown, the geological simulation model is placed on a rigid base, which is divided into a first part and a second part. A movable baffle 1 is connected to the edge of the first part of the rigid base, and a motor 1 is connected to the movable baffle 1. A movable baffle 2 is connected to the edge of the second part of the rigid base, and a motor 2 is connected to the movable baffle 2. Motors 1 and 2 drive the movable baffles 1 and 2 to cause relative movement between the rigid base and the geological simulation model, simulating geological deformation and fault movement processes.

[0102] For example, see Figure 4 The plan view and corresponding explanatory diagram of the physical simulation results provided for an exemplary embodiment of this application show the movement of faults caused by the relative horizontal movement of the strata simulation model under the action of external stress. That is, as the external stress is applied, the strata (such as faults) gradually show positional movement of 6.5mm, 9.5mm, 16mm and 27mm (i.e. fault slip).

[0103] Specifically, Figure 4 (a) indicates the presence of a concealed or inactive fault when the fault location shifts by 6.5 mm. Figure 4 (b) When the fault location shifted by 9.5 mm, a “spiral” R-shaped rupture appeared. Figure 4 (c) When the fault location shifts by 16 mm, a low-angle R-fracture or P-fracture occurs at the connecting fault. Figure 4 In (d), when the fault location shifts by 27 mm, an overlying uplift zone appears, and a Y-fractured connection forms a through-strike-slip zone.

[0104] Optionally, camera and particle imaging velocimetry techniques can be used to record the simulation process, and the recorded photographs can be analyzed to demonstrate the tectonic deformation process of the strata. For example... Figure 5 As shown, with the action of external stress, the strata gradually exhibit positional shifts of 0cm, 0.48cm, 0.96cm, 1.44cm, 1.92cm, and 2.4cm (i.e., fault slip), thus simulating the deformation process of the strata structure.

[0105] In this embodiment, the deformation feature data includes cross-sectional deformation features, which include fracture distribution features and fracture deformation features specific to the cross-section. For example, see... Figure 6This is an example schematic diagram of the cross-sectional deformation characteristics of the strike-slip fault structure provided in the embodiments of this application, showing the cross-sectional location of the strata simulation model after being subjected to stress, as well as the fault distribution and fault deformation of each stratum.

[0106] Therefore, this embodiment constructs a geological structure model by simulating stratum thickness, stratum simulation materials, and physical properties, which is consistent with actual geological conditions and avoids scale effects caused by differences in the physical and mechanical properties of the real crust. It achieves accurate simulation of stratum deformation processes, including stratum deformation processes and fault slip processes, which helps to improve the accuracy of strike-slip fault structure simulation.

[0107] In some embodiments, step S201 involves obtaining numerical simulation data of the target region with strike-slip fracture structures through the following steps:

[0108] The characteristic parameters of the spherical particles are obtained, including particle material, particle physical radius, contact radius, Poisson's ratio, elastic modulus, cohesion and tensile ultimate stress. The spherical particles are used to simulate rocks in strata with strike-slip fracture structures in the target area.

[0109] Determine the model parameters for a particle contact model used to describe the contact relationship between the spherical particles, the model parameters including normal, shear stiffness, maximum normal stress, maximum shear stress, and the radius of the interparticle cylindrical bond;

[0110] Determine the mechanical parameters between the spherical particle and the boundary, including the coefficient of restitution, the coefficient of static friction, and the coefficient of rolling friction;

[0111] Based on the geological structure data, determine the simulated thickness associated with each stratum at any specified evolutionary stage;

[0112] Numerical simulation data are determined based on the characteristic parameters, model parameters, mechanical parameters, and simulated thickness.

[0113] It should be noted that the numerical simulation is used to simulate the evolution of stratigraphic fractures in the target area. Specifically, it uses spherical particles to simulate rocks in the strata, reflecting the geometric shape of the spherical particles under stress to simulate the development and deformation of the strata under different stress conditions. Therefore, in this embodiment, the characteristic parameters of the spherical particles themselves, the contact relationships between spherical particles, and the mechanical parameters between the spherical particles and the boundaries are set. A particle contact model (such as a contact model with cohesion) is used to describe the contact relationships between the spherical particles. Specifically, the spherical particles are connected through this particle contact model, that is, bond bonds are formed between the particles. When the maximum shear stress between the particles exceeds their ultimate stress condition, the bond bonds break, and the particles no longer make contact. Therefore, the model parameters of the particle contact model are set.

[0114] Optionally, this application simulates various evolutionary stages of strata using simulated strata thickness, enabling a direct simulation of the complex morphological changes of strata and faults across multiple geological periods. It can be understood that each evolutionary stage of the strata corresponds to a simulated thickness, allowing the simulation of a specific evolutionary stage to be performed by setting the strata thickness to match that stage, thus simulating the morphological changes of strike-slip faults at that stage. Therefore, this embodiment, by determining the simulated thickness associated with each stratum at any evolutionary stage, simulates the morphological changes of strike-slip fault structures across multiple geological periods.

[0115] Therefore, by determining the relevant parameters of the spherical particles used to simulate the strata rocks and the simulated thickness of the strata, this embodiment can accurately simulate the distributed growth of strike-slip faults at multiple evolution stages and the deformation of the strata at both ends of the strike-slip fault, thereby improving the comprehensiveness and reliability of the strike-slip fault model description.

[0116] In some embodiments, step S203 involves simulating the stratigraphic fracture evolution process of the target area based on the numerical simulation data to obtain fracture morphology data of each stratum in the target area, including:

[0117] Based on the numerical simulation data, spherical particles with distinguishing markings are used to mark the fault blocks located on both sides of the fault in the strike-slip fracture structure, and particle samples are used to fill the fault to form a particle model.

[0118] According to the preset motion conditions, the motion simulation is performed on the spherical particles related to the fracture disk in the particle model, and based on the simulation thickness, the fracture evolution process of the strike-slip fracture structure in the target area is simulated in multiple evolution stages to obtain fracture morphology data of each stratum. The motion conditions include the same motion speed and relative motion direction, and the fracture morphology data includes structural morphology data, strain data and stress data under multiple evolution stages.

[0119] In this embodiment, the dimensions (e.g., length, width, and height) of the particle model are set. Then, based on the characteristic parameters of the spherical particles themselves, the contact relationships between spherical particles, and the mechanical parameters between the spherical particles and the boundaries in the numerical simulation data, the corresponding spherical particles are simulated. The spherical particles located in each fault disk are then distinguished and identified, that is, they are used to distinguish and describe the boundaries of each fault disk in the strike-slip fault. For example, different colors, numbers, or letters are used for identification.

[0120] For example, such as Figure 7 As shown, the fracture blocks on both sides of a strike-slip fault are marked and distinguished by color intensity; that is, spherical particles of a darker color (i.e., the first color) are used to mark one fracture block of the strike-slip fault. Figure 7 The lower part of the image is used to show the boundary of the fault. Another fault of the strike-slip fault (in the lower part of the image) is marked with spherical particles using a lighter color (i.e., the second color). Figure 7 (The upper part of the image) is used to show the boundary of the broken disc.

[0121] Furthermore, labeled spherical particles are stacked using particle samples to obtain a particle model. These particle samples can be spherical particles with a sample identifier distinct from the broken disc identifier, which is used to mark the identifying features of the spherical particles. For example, the particle samples are marked with an identifier different from the broken disc identifier; that is, a third color identifier, different from the broken disc identifier, is used to indicate the particle samples. Then, the particle samples are used to... Figure 7 The spherical particles shown are stacked to obtain a particle model.

[0122] Furthermore, the spherical particles at the boundary of the strike-slip fault in the particle model are given the same motion velocity and relative motion direction to simulate the motion process of the strike-slip fault. Specifically, by reflecting the geometric shape of the spherical particles after being subjected to force, the morphological changes of complex strata and faults under different stresses can be intuitively simulated to obtain fracture morphology data. This fracture morphology data includes structural morphology data, strain data, and stress data of the strike-slip fault.

[0123] For example, such as Figure 7 The particle model shown is set as a left-lateral strike-slip fault. The spherical particles in the upper part of the figure move to the left, and the spherical particles in the lower part move to the right. The simulation results are visualized and analyzed to form the simulation results of the strike-slip fault.

[0124] Furthermore, based on the above numerical simulation steps, different simulated thicknesses of strata in the numerical simulation data are selected to simulate the entire process of fault evolution, i.e., the morphological changes of strata at multiple evolution stages. For example, Figure 8This is a schematic diagram illustrating the fracture evolution process of a flower-like structure in a strike-slip fracture profile, provided as another exemplary embodiment of this application. Taking the flower-like structure in a strike-slip fracture profile as an example, numerical simulation is performed using spherical particles. Figure 8 The study demonstrates the fracture evolution process of the flower-like structure in the strike-slip fracture section, that is, the morphological changes of the flower-like structure in the strike-slip fracture section at different evolutionary stages.

[0125] Therefore, this embodiment utilizes spherical particles to simulate the stress response of strata (such as faults), revealing the formation, development, and deformation mechanisms of faults across multiple evolutionary stages and under different stress conditions. It also achieves accurate simulation of stratigraphic deformation processes, including strata deformation and fault slip processes, thus improving the accuracy of strike-slip fault simulation. Furthermore, the placement of the spherical particles offers high flexibility, allowing for adjustments based on actual geological conditions or special circumstances, thus aligning with real-world geological realities.

[0126] In some embodiments, step S204 involves constructing a strike-slip fracture model for the target region based on the deformation characteristic data and the fracture morphology data, including:

[0127] Based on the earthquake data, a structural interpretation model is determined, which is used to indicate the planar analytical and spatial morphology of the strike-slip fault structure.

[0128] Based on the deformation characteristic data, the fracture morphology data, the geological structure data, and the interpretation model, a strike-slip fracture model is constructed for the strike-slip fracture structure.

[0129] In this embodiment, the seismic profile characteristics of the target area are used as a reference group to adjust and optimize the accuracy of the strike-slip fault structure simulation in the target area. Therefore, a structural interpretation model for the target area is extracted. This structural interpretation model describes the interpretation of the strike-slip fault structure in two and three dimensions, including the spatial morphology and planar analysis of the strike-slip fault structure. The spatial morphology is used to characterize the morphological features of the strike-slip fault structure in two and three dimensions, and the planar analysis is used to indicate the planar distribution and combination characteristics of the strike-slip faults throughout the entire stratigraphic system.

[0130] For example, Figure 9 This is a schematic diagram of a structural interpretation model of a strike-slip fault structure in a certain region, provided as an exemplary embodiment of this application. The left figure shows the morphological characteristics of each stratum in terms of cross-section, and the right figure shows the morphological characteristics of each stratum in three-dimensional space, thereby constituting the spatial morphology of the strike-slip fault structure in the region.

[0131] also, Figure 10 This is a planar analytical diagram of a strike-slip fracture structure with respect to the entire layer system, provided as an exemplary embodiment of this application. Figure 10Planar analysis, including the Silurian basal surface, limestone basal surface, and Upper Cambrian basal surface, can determine the planar distribution and combination characteristics of strike-slip faults. Furthermore, based on deformation characteristic data obtained from physical simulation, fault morphology data obtained from numerical simulation, geological structure data, and an interpretation model of the strike-slip fault structure in the target area, a strike-slip fault model is constructed, ensuring that the stratigraphic structure of the experimental group remains consistent with that of the reference group.

[0132] Therefore, this embodiment combines the interpretation model of the strike-slip fault structure in the target area to construct a strike-slip fault model to describe the structure, which is consistent with the actual geological conditions of the target area, ensures the consistency and repeatability of the experimental simulation conditions, and enhances the reliability and effectiveness of the simulation results.

[0133] In another embodiment, the step S204 of constructing a strike-slip fracture model for the target region based on the deformation feature data and the fracture morphology data further includes:

[0134] Based on the earthquake data, the seismic profile features of the target area are extracted;

[0135] Calculate the similarity between the hierarchical slices of the strike-slip fault model and the seismic profile features;

[0136] When the similarity is lower than a preset similarity threshold, the simulation parameters used in the simulation process are adjusted until the similarity exceeds the similarity threshold. The simulation parameters include one or more of the physical simulation data, the numerical simulation data, the structuring force, and the motion speed.

[0137] In this embodiment, the seismic profile features are compared with the strike-slip fault model simulated in this application. If the similarity between the two is below a similarity threshold, it indicates that the accuracy of the strike-slip fault model is low and the simulation effect is poor. For example, Figure 11 This is a schematic diagram comparing the layered slices of the strike-slip fault model provided in this application embodiment with the seismic profile features. The slices of layered single period, layered period, single layer single period, and single layer period of each stratum in the strike-slip fault model are extracted, and the slices are compared with the seismic profile features (such as stratigraphic morphology changes, fault distribution features, etc.) so that the strike-slip fault model can be adjusted according to the comparison results.

[0138] Subsequently, this embodiment optimizes the strike-slip fracture model by adjusting the simulation parameters in both physical and numerical simulations to modify the simulation results. For example, during the physical simulation, the tectonic forces applied to the formation simulation model are adjusted, causing changes in the deformation characteristic data in the physical simulation results, thereby adjusting the strike-slip fracture model.

[0139] Therefore, this embodiment improves the simulation accuracy of strike-slip fracture structures by adjusting experimental variables such as physical simulation data, numerical simulation data, tectonic forces, and motion speed.

[0140] In some embodiments, the strike-slip fracture structure simulation method further includes:

[0141] The deformation feature data is used to visualize the deformation process.

[0142] The fracture morphology data is quantitatively analyzed using a preset image processing model to generate video frames that demonstrate the fracture evolution process.

[0143] In this embodiment, the physical simulation of stratigraphic deformation and the numerical simulation of stratigraphic fracture evolution are visualized. For example, a video demonstration of the fault development process can be created using physical simulation. Image processing can be used to quantitatively analyze the images and generate a numerical simulation video animation, showcasing structural morphology, volumetric strain, and mean stress, thereby enabling in-depth analysis of the strain and deformation mechanisms of the strike-slip fault model.

[0144] For example, the F-7 fault is used as an example. First, the processing equipment uses seismic data of the F-7 fault to determine the fault's geological structure, spatial location, lithological inference, layer thickness, and interlayer contact relationships. Combining this with drilling geology and well logging data surrounding the F-7 fault, and comparing it with the reflection layer characteristics in the seismic data, the geological horizons of each reflection layer are inferred. The geological phenomena reflected by the F-7 fault in the seismic data, such as structures, faults, unconformities, and stratigraphic pinch-outs, are analyzed to determine the geological characteristics of the F-7 fault. Therefore, the geological structure data of the F-7 fault is determined, and a structural interpretation model of the F-7 fault in two-dimensional or three-dimensional space is established.

[0145] Subsequently, based on the geological structure data of the F-7 fault, physical simulation data was constructed, which followed the principles of geometric, kinematic, and dynamic similarity. Simulation materials, such as quartz sand, glass microspheres, and silica gel, were selected according to rheological properties to simulate the lithology of the F-7 fault. The frictional characteristics, internal friction angle, cohesion, and density of the simulation materials of the F-7 fault were considered to determine the physical properties.

[0146] Secondly, numerical simulation data is constructed, in which the relevant parameters of spherical particles are determined based on the physical properties (i.e., geological structure data) of the rocks in the F-7 fault. These parameters include their inherent characteristics, the use of a particle contact model to describe the contact relationships between particles in the F-7 fault, and the mechanical parameters of the particles and their boundaries. Thus, spherical particles are used in the numerical simulation to model the rocks of the F-7 fault.

[0147] Furthermore, the processing equipment sends the physical simulation data to the simulation equipment, enabling the simulation equipment to design a stratigraphic simulation model of the F-7 fault based on the actual geological conditions and similarity theory, setting parameters such as boundary conditions and simulated stratigraphic thicknesses for each stratum. Combining the tectonic evolution of the F-7 fault, corresponding tectonic forces are applied, and the simulation experiment process is recorded using cameras and particle imaging velocimetry. The physical simulation results (such as deformation characteristic data) are then returned to the processing equipment. In addition, the processing equipment uses numerical simulation data to simulate the rocks of the F-7 fault, setting the boundary conditions and deformation rate of the experimental model. Visualization software is used to simulate the tectonic evolution of the F-7 fault, obtaining fault morphology data.

[0148] For example, by setting stratigraphic models with different simulated thicknesses, the evolution of the strike-slip fault F-7 in region A was successfully simulated. Figure 12 As shown, Model 1 uses a relatively small simulation thickness to simulate the formation process of the F-7 fault during the Middle to Late Cambrian. The results show that the fault exhibits segmented growth and connection characteristics in its early stages. The strike-slip fault initially develops P and R fractures, which gradually interlock together. Figure 13 As shown, Model 2 is set to simulate a thickness 1.5 times that of Model 1, with other conditions remaining unchanged, to simulate the evolution of the F-7 fault in the Middle to Late Ordovician. During this stage, strike-slip faults initially develop P and R fractures, which gradually interlock, and the fault zone structure and secondary faults continue to develop. For example... Figure 14 As shown, the simulated thickness of Model 3 is twice that of Model 2, meaning the simulated stratum thickness is twice that of the Middle-Late Ordovician period, thus simulating the evolution of faults during the Silurian-Devonian period. During this stage, the increased stratum thickness led to renewed fault activity, with deep fault activity inducing shallow en echelon faults. Therefore, by setting the simulated stratum thickness, the numerical simulation of the fault evolution of strike-slip fault F-7 in region A was carried out.

[0149] Furthermore, the processing equipment integrates deformation characteristic data obtained from physical simulation, fracture morphology data obtained from numerical simulation, interpretation models, and geological structure data to obtain a strike-slip fault model for describing the F-7 fault. Then, the model's structural evolution is compared with the seismic profile characteristics of the F-7 fault. If the similarity between the model and the seismic profile characteristics is weak, the simulation parameters are adjusted and the simulation experiment is redesigned.

[0150] Figure 15 This is a schematic diagram of a strike-slip fracture structure simulation system provided in an embodiment of the present application. The strike-slip fracture structure simulation system 30 includes: a processing device 31 and a simulation device 32.

[0151] The processing device is used to acquire physical simulation data and numerical simulation data of the target area with strike-slip fault structure, and to send the physical simulation data to the simulation device; the physical simulation data is used to simulate the relevant data required for the deformation process of the stratigraphic structure, and the numerical simulation data is used to simulate the relevant data required for the evolution process of the stratigraphic fault.

[0152] The simulation device is connected to the processing device and is used to simulate the geological deformation process of the target area based on the physical simulation data, and then return the deformation characteristic data of each stratum in the target area to the processing device.

[0153] The processing device is used to simulate the stratigraphic fracture evolution process of the target area based on the numerical simulation data, so as to obtain fracture morphology data of each stratum in the target area. The fracture morphology data is used to indicate the morphological changes caused by fractures in each stratum at multiple evolution stages. Based on the deformation characteristic data and the fracture morphology data, a strike-slip fracture model of the target area is constructed. The strike-slip fracture model is used to describe the strike-slip fracture structure of the target area.

[0154] In some embodiments, the processing device is configured to send the physical simulation data to the simulation device;

[0155] The simulation device is used to simulate each stratum in the target area based on the physical simulation data to establish a stratum simulation model, and to apply tectonic forces to the stratum simulation model to indicate relative movement on both sides of the fault to simulate the tectonic deformation process of the target area. The simulated stratum simulation model is sliced ​​and analyzed to obtain deformation characteristic data of each stratum, which is then sent to the processing device. The deformation characteristic data includes cross-sectional deformation characteristics.

[0156] In some embodiments, the processing device is used to acquire seismic data and well logging data of the target area;

[0157] Based on the earthquake data, geological feature data are determined, including geological structural morphology, spatial location, lithology, geological phenomenon characteristics, stratigraphic thickness of each stratum, and interlayer characteristics used to characterize the contact relationship between strata.

[0158] Based on the well logging data and the reflection layer characteristics recorded in the seismic data, the geological strata of each reflection layer are determined;

[0159] Based on the geological feature data and the geological stratigraphic position of the reflective layer, the geological structure data is determined;

[0160] Based on the geological structure data, the physical simulation data is determined, which includes the simulated stratum thickness, the simulated stratum material, and the corresponding physical properties.

[0161] In some embodiments, the processing device is used to acquire characteristic parameters of spherical particles, including particle material, particle physical radius, contact radius, Poisson's ratio, elastic modulus, cohesion, and tensile ultimate stress, wherein the spherical particles are used to simulate rocks in strata with strike-slip fracture structures in the target region.

[0162] Determine the model parameters for a particle contact model used to describe the contact relationship between the spherical particles, the model parameters including normal, shear stiffness, maximum normal stress, maximum shear stress, and the radius of the interparticle cylindrical bond;

[0163] Determine the mechanical parameters between the spherical particle and the boundary, including the coefficient of restitution, the coefficient of static friction, and the coefficient of rolling friction;

[0164] Based on the geological structure data, determine the simulated thickness associated with each stratum at any specified evolutionary stage;

[0165] Numerical simulation data are determined based on the characteristic parameters, model parameters, mechanical parameters, and simulated thickness.

[0166] In some embodiments, the processing device is used to mark the fault disks located on both sides of the fault in the strike-slip fracture structure with spherical particles having distinguishable markings based on the numerical simulation data, and to fill them with particle samples to form a particle model.

[0167] According to the preset motion conditions, the motion simulation is performed on the spherical particles related to the fracture disk in the particle model, and based on the simulation thickness, the fracture evolution process of the strike-slip fracture structure in the target area is simulated in multiple evolution stages to obtain fracture morphology data of each stratum. The motion conditions include the same motion speed and relative motion direction, and the fracture morphology data includes structural morphology data, strain data and stress data under multiple evolution stages.

[0168] In some embodiments, the processing device is configured to determine a structural interpretation model based on the seismic data, the interpretation model being used to indicate the planar analytical and spatial morphology of the strike-slip fault structure;

[0169] Based on the deformation characteristic data, the fracture morphology data, the geological structure data, and the interpretation model, a strike-slip fracture model is constructed for the strike-slip fracture structure.

[0170] In some embodiments, the processing device is configured to extract seismic profile features of the target area based on the seismic data;

[0171] Calculate the similarity between the hierarchical slices of the strike-slip fault model and the seismic profile features;

[0172] When the similarity is lower than a preset similarity threshold, the simulation parameters used in the simulation process are adjusted until the similarity exceeds the similarity threshold. The simulation parameters include one or more of the physical simulation data, the numerical simulation data, the structuring force, and the motion speed.

[0173] In some embodiments, the processing device is used to visualize the deformation process using the deformation feature data;

[0174] The fracture morphology data is quantitatively analyzed using a preset image processing model to generate video frames that demonstrate the fracture evolution process.

[0175] The system in this application embodiment can execute the method provided in this application embodiment, and the implementation principle is similar. The actions performed by each device in the system of each embodiment of this application correspond to the steps in the method of each embodiment of this application. For detailed functional descriptions of each device in the system, please refer to the descriptions in the corresponding methods shown above, which will not be repeated here.

[0176] Figure 16 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application, such as... Figure 16 As shown, the electronic device 40 provided in this embodiment includes at least one processor 401 and a memory 402. Optionally, the device 40 further includes a communication component 403. The processor 401, memory 402, and communication component 403 are connected via a bus 404.

[0177] In a specific implementation, at least one processor 401 executes computer execution instructions stored in memory 402, causing at least one processor 401 to perform the above-described method.

[0178] The specific implementation process of processor 401 can be found in the above method embodiments, and its implementation principle and technical effect are similar. It will not be repeated here.

[0179] In the above embodiments, it should be understood that the processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), etc. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the method disclosed in this invention can be directly implemented by a hardware processor, or implemented by a combination of hardware and software modules within the processor.

[0180] The memory may include random access memory (RAM) and may also include non-volatile memory (NVM), such as at least one disk storage device.

[0181] The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. Buses can be categorized as address buses, data buses, control buses, etc. For ease of illustration, the buses shown in the accompanying drawings are not limited to a single bus or a single type of bus.

[0182] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the above-described method.

[0183] This application also provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the above-described method.

[0184] The aforementioned readable storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk. The readable storage medium can be any available medium accessible to a general-purpose or special-purpose computer.

[0185] An exemplary readable storage medium is coupled to a processor, enabling the processor to read information from and write information to the readable storage medium. Of course, the readable storage medium can also be a component of the processor. The processor and the readable storage medium can reside in an Application Specific Integrated Circuit (ASIC). Alternatively, the processor and the readable storage medium can exist as discrete components in the device.

[0186] Other embodiments of this application will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of this application that follow the general principles of this application and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of this application are indicated by the following claims.

[0187] It should be understood that this application is not limited to the precise structure described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this application is limited only by the appended claims.

Claims

1. A method for simulating strike-slip fracture structures, characterized in that, include: Acquire physical simulation data and numerical simulation data of the target area with strike-slip fault structures. The physical simulation data is used to simulate the relevant data required for the deformation process of the stratigraphic structure. Deformation characteristic data of various strata in the target area are obtained, and the deformation characteristic data are obtained based on the physical simulation data and after simulating the stratigraphic deformation process of the target area. The numerical simulation data is used to simulate the stratigraphic fracture evolution process of the target area to obtain fracture morphology data of each stratum in the target area. The fracture morphology data is used to indicate the morphological changes caused by fractures in each stratum at multiple evolution stages. Based on the deformation feature data and the fracture morphology data, a strike-slip fracture model for the target region is obtained, which is used to describe the strike-slip fracture structure of the target region.

2. The method for simulating strike-slip fracture structures according to claim 1, characterized in that, The acquisition of deformation feature data of various strata in the target area includes: Based on the physical simulation data, a stratigraphic simulation model is obtained, which is used to simulate each stratum in the target area; and tectonic forces are applied to the stratigraphic simulation model to indicate relative movement on both sides of a fault, so as to simulate the tectonic deformation process in the target area. The simulated stratigraphic simulation model is sliced ​​to obtain deformation characteristic data of each stratum, including cross-sectional deformation characteristics.

3. The method for simulating strike-slip fracture structures according to claim 1, characterized in that, The acquisition of physical simulation data of the target region with strike-slip fracture structure includes: Acquire seismic data and well logging data for the target area; Based on the earthquake data, geological feature data are determined; Based on the well logging data, the geological feature data, and the reflection layer characteristics recorded in the seismic data, the geological strata and geological structure data of each reflection layer are determined; Based on the geological structure data, the physical simulation data is determined.

4. The method for simulating strike-slip fracture structures according to claim 3, characterized in that, The acquisition of numerical simulation data of the target region with strike-slip fracture structures includes: The characteristic parameters of the spherical particles are obtained, and the model parameters of the particle contact model and the mechanical parameters between the spherical particles and the boundary are determined; the spherical particles are used to simulate rocks in strata with strike-slip fault structures in the target area; the particle contact model is used to describe the contact relationship between the spherical particles. Based on the geological structure data, determine the simulated thickness associated with each stratum at any specified evolutionary stage; Numerical simulation data are determined based on the characteristic parameters, the model parameters, the mechanical parameters, and the simulated thickness.

5. The method for simulating strike-slip fracture structures according to claim 4, characterized in that, The process of simulating the stratigraphic fault evolution process in the target area based on the numerical simulation data to obtain fault morphology data of each stratum in the target area includes: Based on the numerical simulation data, spherical particles with distinguishing markings are used to mark the fault blocks located on both sides of the fault in the strike-slip fracture structure, and particle samples are used to fill the fault to form a particle model. According to the preset motion conditions, the motion simulation is performed on the spherical particles related to the fracture disk in the particle model, and based on the simulation thickness, the fracture evolution process of the strike-slip fracture structure in the target area is simulated in multiple evolution stages to obtain fracture morphology data of each stratum. The motion conditions include the same motion speed and relative motion direction, and the fracture morphology data includes structural morphology data, strain data and stress data under multiple evolution stages.

6. The method for simulating strike-slip fracture structures according to claim 1, characterized in that, The step of obtaining a strike-slip fracture model for the target region based on the deformation feature data and the fracture morphology data includes: Based on the earthquake data, a structural interpretation model is determined, which is used to indicate the planar analytical and spatial morphology of the strike-slip fault structure. Based on the deformation characteristic data, the fracture morphology data, the geological structure data, and the interpretation model, a strike-slip fracture model is constructed for the strike-slip fracture structure.

7. The method for simulating strike-slip fracture structures according to claim 1, characterized in that, The step of constructing a strike-slip fracture model for the target region based on the deformation feature data and the fracture morphology data further includes: Based on the earthquake data, the seismic profile features of the target area are extracted; Calculate the similarity between the hierarchical slices of the strike-slip fault model and the seismic profile features; When the similarity is lower than a preset similarity threshold, the simulation parameters used in the simulation process are adjusted until the similarity exceeds the similarity threshold. The simulation parameters include one or more of the physical simulation data, the numerical simulation data, the structuring force, and the motion speed.

8. The method for simulating strike-slip fracture structures according to any one of claims 1 to 7, characterized in that, The method further includes: The deformation feature data is used to visualize the deformation process. The fracture morphology data is quantitatively analyzed using a preset image processing model to generate video frames that demonstrate the fracture evolution process.

9. A strike-slip fracture structure simulation system, characterized in that, include: Processing equipment and simulation equipment; The processing device is used to acquire physical simulation data and send the physical simulation data to the simulation device; The simulation equipment is used to simulate each stratum in the target area based on the physical simulation data, in order to establish a stratum simulation model; The processing equipment is further configured to obtain a strike-slip fracture model based on the physical simulation data and the formation simulation model using the strike-slip fracture structure simulation method as described in any one of claims 1-8.

10. An electronic device, comprising: A processor, and a memory communicatively connected to the processor; The memory stores computer-executed instructions; The processor executes computer execution instructions stored in the memory to implement the strike-slip fracture structure simulation method as described in any one of claims 1-8.

11. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the strike-slip fracture structure simulation method as described in any one of claims 1-8.

12. A computer program product, characterized in that, Includes a computer program that, when executed by a processor, implements the strike-slip fracture structure simulation method according to any one of claims 1-8.

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