Method, device and equipment for analyzing strike-slip fault of gypsolayer and readable storage medium

By analyzing 3D seismic data and neural network models, the analytical challenge of strike-slip faults in gypsum-salt layers was solved, enabling precise evaluation and rapid calculation of deep salt structures in the basin, thus overcoming the bottleneck of difficult analysis and evaluation of salt structures.

CN116931073BActive Publication Date: 2026-05-01CHINA PETROLEUM & CHEMICAL CORP +1
View PDF 2 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CHINA PETROLEUM & CHEMICAL CORP
Filing Date
2022-04-01
Publication Date
2026-05-01

AI Technical Summary

Technical Problem

Existing technologies cannot quickly and accurately analyze the manifestations of strike-slip faults in gypsum-salt layers. In particular, research on the structural styles and development and evolution patterns of strike-slip faults, which are widely developed in basins, mainly focuses on rigid carbonate strata, and there is a lack of effective analytical methods.

Method used

By processing information based on 3D seismic data, a 3D geological model of rigid strata and gypsum-salt layers is established. Using a supervised neural network model, the correspondence of vertical fault displacement values ​​is analyzed, and pull-out and uplift segments are divided. Combined with the rheological properties of gypsum-salt, a detailed characterization and quantitative statistics of the segmented structure of strike-slip faults are achieved.

Benefits of technology

It enables a comprehensive evaluation of salt structures related to deep strike-slip faults in basins, improves computational efficiency and accuracy, and can quickly obtain fault analysis results of gypsum-salt layers, overcoming the technical difficulty of analyzing deep salt structures.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN116931073B_ABST
    Figure CN116931073B_ABST
Patent Text Reader

Abstract

This disclosure relates to the field of seismic exploration technology, and in particular to a method, apparatus, equipment, and readable storage medium for analyzing strike-slip faults in gypsum-salt layers. The method includes obtaining first information; determining the correspondence of vertical fault displacement values ​​based on the first information; obtaining second information based on 3D seismic data of a second region, and determining the vertical fault displacement value of a second rigid stratum based on the second information; and determining the vertical fault displacement value of the second gypsum-salt layer based on the vertical fault displacement value of the second rigid stratum and its correspondence. This disclosure overcomes the technical difficulties of analyzing and evaluating salt structures associated with deep strike-slip faults, and the inability to evaluate the development patterns of gypsum-salt layers at different fault locations. Based on the theoretical foundation of gypsum-salt rheology and the segmentation of strike-slip faults, and on the basis of detailed seismic-geological analysis, it clarifies the segmented structure and kinematic characteristics of strike-slip faults, and on this basis, precisely characterizes the segmented geological model of strike-slip faults in gypsum-salt layers.
Need to check novelty before this filing date? Find Prior Art

Description

Technical Field

[0001] This disclosure relates to the field of seismic exploration technology, and in particular to a method, apparatus, equipment, and readable storage medium for analyzing strike-slip fractures in gypsum-salt layers. Background Technology

[0002] In recent years, a series of oil and gas discoveries related to strike-slip faults have been made in deep to ultra-deep carbonate strata within my country. It is now clear that the widely developed strike-slip faults within the basin are three-dimensional geological bodies with complex structures, characterized by "controlling reservoirs, reservoirs, and enrichment." However, current research on the structural styles and evolution patterns of strike-slip faults within the basin mainly focuses on rigid carbonate strata (the target exploration layers). In actual geological conditions, basins not only contain rigid strata but also gypsum-salt layers (plastic strata) primarily composed of evaporite minerals. Currently, there are no effective technical methods for quickly and accurately analyzing the manifestations of this type of strike-slip fault system within gypsum-salt layers. Summary of the Invention

[0003] The purpose of this disclosure is to provide a method, apparatus, equipment, and readable storage medium for analyzing strike-slip fractures in gypsum-salt layers, in order to solve one of the aforementioned technical problems.

[0004] To achieve the above objectives, the embodiments of this application provide the following technical solutions:

[0005] In a first aspect, embodiments of this disclosure provide a method for analyzing strike-slip fractures in gypsum-salt layers, the method comprising:

[0006] The first information is obtained based on the three-dimensional seismic data of the first region, and the first information includes the information of the first rigid stratum and the information of the first gypsum-salt layer.

[0007] Based on the first information, the correspondence between the vertical displacement value of the first rigid stratum and the vertical displacement value of the first gypsum-salt layer is obtained.

[0008] The second information is obtained based on the three-dimensional seismic data of the second region, and the second information includes information on the second rigid stratum; the first region and the second region are two adjacent regions.

[0009] The vertical displacement value of the second rigid stratum is obtained based on the second information;

[0010] Based on the vertical displacement value of the second rigid stratum and the corresponding relationship, the vertical displacement value of the second gypsum-salt layer is obtained.

[0011] Optionally, obtaining the correspondence between the vertical displacement value of the first rigid stratum and the vertical displacement value of the first gypsum-salt layer based on the first information includes:

[0012] Based on the first information, a first three-dimensional geological model and a second three-dimensional geological model are established. The first three-dimensional geological model is a three-dimensional geological model of the first rigid stratum, and the second three-dimensional geological model is a three-dimensional geological model of the first gypsum-salt layer.

[0013] The vertical displacement value of the first rigid stratum is obtained based on the first three-dimensional geological model, and the vertical displacement value of the first gypsum-salt layer is obtained based on the second three-dimensional geological model.

[0014] Based on the vertical displacement values ​​of the first rigid stratum and the first gypsum-salt layer, the correspondence between the vertical displacement values ​​of the first rigid stratum and the first gypsum-salt layer is obtained.

[0015] Optionally, the calculation method for the vertical displacement value of the first rigid stratum and the three-dimensional geological model of the first gypsum-salt layer includes:

[0016] Based on the first information, a first three-dimensional geological model and a second three-dimensional geological model are established. The first three-dimensional geological model is a three-dimensional geological model of the first rigid stratum, and the second three-dimensional geological model is a three-dimensional geological model of the first gypsum-salt layer.

[0017] Take at least three equally spaced first longitudinal sections from the first three-dimensional geological model according to the fault direction, and obtain the vertical fault displacement value of each first longitudinal section.

[0018] The second three-dimensional address model is used to take at least three equally spaced second longitudinal sections according to the fracture direction, and the vertical displacement value of each second longitudinal section is obtained; the number and position of the first longitudinal section and the second longitudinal section are the same.

[0019] Optionally, obtaining the correspondence between the vertical displacement value of the first rigid stratum and the vertical displacement value of the first gypsum-salt layer based on the first information includes:

[0020] The vertical displacement value of the first longitudinal section is used as the input value, and the vertical displacement value of the second longitudinal section corresponding to the first longitudinal section is used as the output value. These values ​​are then input into the first supervised neural network model to obtain the trained first supervised neural network model.

[0021] Optionally, obtaining the vertical displacement value of the second gypsum-salt layer based on the vertical displacement value of the second rigid stratum and the corresponding relationship includes:

[0022] The vertical displacement value of the second rigid stratum is input into the trained first supervised neural network model to obtain the vertical displacement value of the second gypsum-salt layer.

[0023] Optionally, obtaining the correspondence between the vertical displacement value of the first rigid stratum and the vertical displacement value of the first gypsum-salt layer based on the first information includes:

[0024] The first rigid stratum is divided into a first pull-out segment and a first uplift segment based on the sign of the vertical fault displacement value. The first pull-out segment is the area included by at least two first longitudinal sections with consecutive negative vertical fault displacement values, and the first uplift segment is the area included by at least two first longitudinal sections with consecutive positive vertical fault displacement values.

[0025] The first gypsum-salt layer is divided into a second pull-out segment and a second uplift segment based on the sign of the vertical fault displacement value. The second pull-out segment is the area included by at least two second longitudinal sections with consecutive negative vertical fault displacement values, and the second uplift segment is the area included by at least two second longitudinal sections with consecutive positive vertical fault displacement values.

[0026] The vertical dislocation value of the first longitudinal section within the first pull-out segment is used as the input value, and the vertical dislocation value of the second longitudinal section corresponding to the first longitudinal section within the second pull-out segment is used as the output value. These values ​​are then input into the second supervised neural network model to obtain the trained second supervised neural network model.

[0027] The vertical displacement value of the first longitudinal section within the first uplift segment is used as the input value, and the vertical displacement value of the second longitudinal section corresponding to the first longitudinal section within the second uplift segment is used as the output value. These values ​​are then input into the third supervised neural network model to obtain the trained third supervised neural network model.

[0028] Optionally, obtaining the vertical displacement value of the second rigid stratum based on the second information includes:

[0029] A third three-dimensional geological model is established based on the second information, wherein the third three-dimensional geological model is a three-dimensional model of the second rigid stratigraphic horizon;

[0030] The vertical fault displacement value of the second rigid stratum is obtained based on the third three-dimensional geological model.

[0031] Optionally, obtaining the vertical displacement value of the second gypsum-salt layer based on the vertical displacement value of the second rigid stratum and the corresponding relationship includes:

[0032] The third three-dimensional address model is used to take at least three equally spaced third longitudinal sections according to the fracture direction, and the vertical fracture displacement value of each third longitudinal section is obtained.

[0033] The second rigid stratum is divided into a third pull-out section and a third uplift section based on the sign of the vertical fault displacement value. The third pull-out section is the area included by at least two third longitudinal sections with consecutive negative vertical fault displacement values, and the third uplift section is the area included by at least two third longitudinal sections with consecutive positive vertical fault displacement values.

[0034] The vertical displacement value of the third longitudinal section within the third pull segment is used as the input value and input into the trained second supervised neural network model to obtain the vertical displacement value corresponding to the third longitudinal section within the second gypsum-salt layer.

[0035] The vertical displacement value of the third longitudinal section within the third uplift segment is used as the input value and input into the trained third supervised neural network model to obtain the vertical displacement value corresponding to the third longitudinal section within the second gypsum-salt layer.

[0036] Secondly, embodiments of this disclosure provide a device for analyzing strike-slip fractures in gypsum-salt layers, the device comprising:

[0037] The first calculation module is used to obtain first information based on the three-dimensional seismic data of the first region. The first information includes information on the first rigid stratum and information on the first gypsum-salt layer.

[0038] The second calculation module is used to obtain the correspondence between the vertical displacement value of the first rigid stratum and the vertical displacement value of the first gypsum-salt layer based on the first information.

[0039] The third calculation module is used to obtain second information based on the three-dimensional seismic data of the second region. The second information includes information on the second rigid stratum. The first region and the second region are two adjacent regions.

[0040] The fourth calculation module is used to obtain the vertical displacement value of the second rigid stratum based on the second information;

[0041] The fifth calculation module is used to obtain the vertical displacement value of the second gypsum-salt layer based on the vertical displacement value of the second rigid stratum and the corresponding relationship.

[0042] Optionally, the second computing module includes:

[0043] The first calculation unit is used to establish a first three-dimensional geological model and a second three-dimensional geological model based on the first information. The first three-dimensional geological model is a three-dimensional geological model of the first rigid stratum, and the second three-dimensional geological model is a three-dimensional geological model of the first gypsum-salt layer.

[0044] The second calculation unit is used to obtain the vertical displacement value of the first rigid stratum based on the first three-dimensional geological model, and to obtain the vertical displacement value of the first gypsum-salt layer based on the second three-dimensional geological model.

[0045] The third calculation unit is used to obtain the correspondence between the vertical displacement values ​​of the first rigid stratum and the first gypsum-salt layer based on the vertical displacement values ​​of the first rigid stratum and the first gypsum-salt layer.

[0046] Optionally, the second computing module includes:

[0047] The first calculation unit is used to establish a first three-dimensional geological model and a second three-dimensional geological model based on the first information. The first three-dimensional geological model is a three-dimensional geological model of the first rigid stratum, and the second three-dimensional geological model is a three-dimensional geological model of the first gypsum-salt layer.

[0048] The fourth calculation unit is used to take at least three equally spaced first longitudinal sections from the first three-dimensional geological model according to the fault direction, and obtain the vertical fault displacement value of each first longitudinal section.

[0049] The fifth calculation unit is used to take at least three equally spaced second longitudinal sections from the second three-dimensional address model according to the fracture direction, and obtain the vertical displacement value of each second longitudinal section; the number and position of the first longitudinal section and the second longitudinal section are the same.

[0050] Optionally, the second computing module includes:

[0051] The sixth calculation unit is used to take the vertical displacement value of the first longitudinal section as the input value and the vertical displacement value of the second longitudinal section corresponding to the first longitudinal section as the output value, and input them into the first supervised neural network model to obtain the trained first supervised neural network model.

[0052] Optionally, the fifth calculation module includes:

[0053] The seventh calculation unit is used to input the vertical displacement value of the second rigid stratum into the trained first supervised neural network model to obtain the vertical displacement value of the second gypsum-salt layer.

[0054] Optionally, the second computing module includes:

[0055] The eighth calculation unit is used to divide the first rigid stratum into a first pull-out segment and a first uplift segment according to the sign of the vertical fault displacement value. The first pull-out segment is the area included by at least two first longitudinal sections with consecutive negative vertical fault displacement values, and the first uplift segment is the area included by at least two first longitudinal sections with consecutive positive vertical fault displacement values.

[0056] The ninth calculation unit is used to divide the first gypsum-salt layer into a second pull-out segment and a second uplift segment according to the sign of the vertical fault displacement value. The second pull-out segment is the area included by at least two second longitudinal sections with consecutive negative vertical fault displacement values, and the second uplift segment is the area included by at least two second longitudinal sections with consecutive positive vertical fault displacement values.

[0057] The tenth calculation unit is used to take the vertical dislocation value of the first longitudinal section within the first pull-out segment as the input value, and the vertical dislocation value of the second longitudinal section corresponding to the first longitudinal section within the second pull-out segment as the output value, and input them into the second supervised neural network model to obtain the trained second supervised neural network model.

[0058] The eleventh calculation unit is used to take the vertical displacement value of the first longitudinal section within the first uplift segment as the input value, and the vertical displacement value of the second longitudinal section corresponding to the first longitudinal section within the second uplift segment as the output value, and input them into the third supervised neural network model to obtain the trained third supervised neural network model.

[0059] Optionally, the fourth computing module includes:

[0060] The twelfth calculation unit is used to establish a third three-dimensional geological model based on the second information. The third three-dimensional geological model is a three-dimensional model of the second rigid stratigraphic layer.

[0061] The thirteenth calculation unit is used to obtain the vertical displacement value of the second rigid stratum based on the third three-dimensional geological model.

[0062] Optionally, the fifth calculation module includes:

[0063] The fourteenth calculation unit is used to take at least three equally spaced third longitudinal sections of the third three-dimensional address model according to the fracture direction, and obtain the vertical fracture displacement value of each third longitudinal section.

[0064] The fifteenth calculation unit is used to divide the second rigid stratum into a third pull-out segment and a third uplift segment according to the sign of the vertical fault displacement value. The third pull-out segment is the area included by at least two third longitudinal sections with consecutive negative vertical fault displacement values, and the third uplift segment is the area included by at least two third longitudinal sections with consecutive positive vertical fault displacement values.

[0065] The sixteenth calculation unit is used to input the vertical displacement value of the third longitudinal section within the third pull-out segment as the input value into the trained second supervised neural network model to obtain the vertical displacement value corresponding to the third longitudinal section within the second gypsum-salt layer.

[0066] The seventeenth calculation unit is used to input the vertical displacement value of the third longitudinal section within the third uplift section as the input value into the trained third supervised neural network model to obtain the vertical displacement value corresponding to the third longitudinal section within the second gypsum-salt layer.

[0067] Thirdly, embodiments of this disclosure provide an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the strike-slip fracture analysis method for gypsum-salt layers as described in any embodiment of this disclosure.

[0068] Fourthly, embodiments of this disclosure provide a readable storage medium storing a computer program, which, when executed, implements the gypsum-salt layer strike-slip fracture analysis method described in any embodiment of this disclosure.

[0069] Fifthly, this disclosure provides a computer program product that, when run on a computer, enables the computer to implement the above-described method for analyzing strike-slip fractures in gypsum-salt layers.

[0070] The beneficial effects of this disclosure are as follows: This disclosure overcomes the technical difficulties of analyzing and evaluating salt structures associated with deep strike-slip faults, and the inability to assess the development patterns of gypsum-salt layers in different parts of the fault. Based on the theoretical foundations of gypsum-salt rheology and the segmentation of strike-slip faults, and on the basis of detailed seismic-geological analysis, it clarifies the segmental structure and kinematic characteristics of strike-slip faults. Based on this, it refines the geological model of strike-slip fault segments in gypsum-salt layer sections, quantitatively analyzes the development of gypsum-salt layers in different segments, and comprehensively evaluates the salt structures associated with strike-slip faults. This can be widely applied to the comprehensive evaluation of salt structures associated with deep strike-slip faults in basins, and is of great significance for the systematic study of strike-slip fault systems within basins.

[0071] Other features and advantages of this disclosure will be set forth in the following description and will be apparent in part from the description or may be learned by practicing embodiments of this disclosure. The objects and other advantages of this disclosure may be realized and obtained by means of the structures particularly pointed out in the written description, claims, and drawings. Attached Figure Description

[0072] To more clearly illustrate the technical solutions of the embodiments of this disclosure, the accompanying drawings used in the embodiments will be briefly described below. It should be understood that the following drawings only show some embodiments of this disclosure and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0073] Figure 1 This is a schematic flowchart of a strike-slip fracture analysis method for gypsum-salt layers as described in the embodiments of this disclosure;

[0074] Figure 2 Examples of coherent property diagrams of the first rigid stratum interface and the first gypsum-salt layer interface described in this disclosure embodiment;

[0075] Figure 3 This is an example of a three-dimensional geological model of the first rigid stratum described in this embodiment of the present disclosure;

[0076] Figure 4 This is an example of a three-dimensional geological model of the first gypsum-salt layer described in the embodiments of this disclosure;

[0077] Figure 5 This is an example of the vertical displacement value of the first longitudinal section described in the embodiments of this disclosure;

[0078] Figure 6 This is an example of the vertical displacement value of the second longitudinal section described in the embodiments of this disclosure;

[0079] Figure 7 This is a schematic diagram of the first three-dimensional geological model after marking, as described in the embodiments of this disclosure;

[0080] Figure 8 This is a schematic diagram of the marked second three-dimensional geological model as described in the embodiments of this disclosure;

[0081] Figure 9 This is a structural block diagram of a gypsum-salt layer strike-slip fracture analysis device as described in the embodiments of this disclosure;

[0082] Figure 10 This is a structural block diagram of a gypsum-salt layer strike-slip fracture analysis device according to another embodiment of this disclosure;

[0083] Figure 11This is a schematic diagram of an electronic device structure as described in an embodiment of this disclosure. Detailed Implementation

[0084] To make the objectives, technical solutions, and advantages of the embodiments of this disclosure clearer, the technical solutions of the embodiments of this disclosure will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this disclosure. The components of the embodiments of this disclosure described and shown in the accompanying drawings can generally be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of this disclosure provided in the accompanying drawings is not intended to limit the scope of the claimed disclosure, but merely represents selected embodiments of this disclosure. All other embodiments obtained by those skilled in the art based on the embodiments of this disclosure without inventive effort are within the scope of protection of this disclosure.

[0085] It should be noted that similar reference numerals or letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. Furthermore, in the description of this disclosure, the terms "first," "second," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0086] Previous studies have shown that multi-stage tectonic deformation activity of deep strike-slip faults plays a crucial role in controlling the upward migration of hydrocarbons from deep layers. A comprehensive evaluation of the manifestations of different parts of strike-slip faults in deep gypsum-salt layers is essential for assessing the vertical conductivity of hydrocarbons. Due to limitations in seismic data resolution, the internal structure of strike-slip faults in deep gypsum-salt layers within basins is often difficult to characterize, making it challenging to comprehensively evaluate the structural patterns of gypsum-salt deformation in different strike-slip faults or different parts of the same strike-slip fault. This proposed technology overcomes these limitations by using fine analysis of the segmented and layered structures within deep gypsum-salt strike-slip faults based on 3D seismic data. Through stress analysis of the segmented structures of the strike-slip faults and quantitative statistical analysis of the thickness of gypsum-salt in different segments, a comprehensive analysis of the structural patterns of salt structures associated with strike-slip faults is achieved. The embodiments disclosed herein focus on the Shunbei 5 fault (Shunbei 3D coverage area) in the Shunbei region of the Tarim Basin, conducting fine seismic-geological analysis and a comprehensive evaluation of salt structures associated with strike-slip faults.

[0087] Example 1

[0088] As an exemplary embodiment of this disclosure, a method for analyzing strike-slip fractures in gypsum-salt layers is provided, such as... Figure 1 As shown, the strike-slip fracture analysis method for the gypsum salt layer includes steps S110, S120, S130, S140 and S150.

[0089] Step S110. Obtain first information based on the three-dimensional seismic data of the first region, the first information including information on the first rigid stratum and information on the first gypsum-salt layer;

[0090] In this step, the first rigid stratum can be a typical carbonate rock layer of a strike-slip fault zone. Based on 3D seismic data (Shunbei 3D), the coherence attribute map of the main active interface of the Shunbei 5 fault is extracted to determine the carbonate rock stratigraphic position (e.g., T7). 4 Interface) and salt-rich developmental layers (such as T8) 3 (Interface), the combined planar section and cross-section clearly show the "longitudinal stratification" characteristics of the Shunbei 5 fault, such as Figure 2 As shown, in Figure 2 In the image, the left side shows an example of the coherent property diagram of the first rigid stratum interface, and the right side shows an example of the coherent property diagram of the first gypsum-salt layer interface.

[0091] Step S120. Obtain the correspondence between the vertical displacement value of the first rigid stratum and the vertical displacement value of the first gypsum-salt layer based on the first information;

[0092] Step S130. Obtain second information based on the three-dimensional seismic data of the second region. The second information includes information on the second rigid stratum. The first region and the second region are two adjacent regions.

[0093] Step S140. Obtain the vertical displacement value of the second rigid stratum based on the second information;

[0094] Step S150. Based on the vertical displacement value of the second rigid stratum and the corresponding relationship, obtain the vertical displacement value of the second gypsum-salt layer.

[0095] Real objects (or materials) will deform (or flow) under external forces. Based on their properties, deformation can be classified as elastic deformation, viscous flow, and plastic flow. Rigid rocks such as carbonate rocks and sandstone, under common temperature and pressure conditions in nature, primarily undergo elastic deformation under stress. When the stress exceeds a certain threshold, the rock will fracture, forming a fracture. However, gypsum salts, due to their low elasticity, undergo plastic flow under stress. After the stress is removed, the deformation does not recover (i.e., inelastic deformation), and no internal fractures occur within the gypsum salt layer. The rheological properties of gypsum salts lead to a natural tendency for them to move from high-stress areas to low-stress areas under stress, resulting in structural patterns completely different from those of rigid strata such as carbonate rocks and sandstones.

[0096] Strike-slip faults, also known as strike-slip faults, are characterized by shear forces acting on both sides of the fault plane. The two sides of the fault plane move relative to each other along the strike, without vertical movement. Under actual geological conditions, the shear stress direction cannot be completely parallel to the fault strike, resulting in segmented strike-slip faults in rigid strata. These segmented faults manifest as localized compressional uplift (compressional uplift segment) or pull-down (pull-down segment).

[0097] By performing quantitative displacement statistics on rigid strata, the stress segmentation (tensional-torsional and compressive-torsional) of strike-slip faults can be obtained. By combining the stress segmentation of strike-slip faults with the rheological properties of gypsum salts, the tectonic behavior of gypsum salts under different stress conditions (tensional-torsional and compressive-torsional) can be comprehensively evaluated.

[0098] This embodiment overcomes the technical difficulties of analyzing and evaluating salt structures associated with deep strike-slip faults, and the inability to assess the development patterns of gypsum-salt layers in different parts of the fault. Based on the rheological properties of gypsum-salt and the segmentation of strike-slip faults, and on the basis of detailed seismic-geological analysis, it clarifies the segmental structure and kinematic characteristics of strike-slip faults. Based on this, it refines the geological model of the strike-slip fault segments in gypsum-salt layer sections, quantitatively analyzes the development of gypsum-salt layers in different segments, and comprehensively evaluates the salt structures associated with strike-slip faults. This method can be widely used to comprehensively evaluate the salt structures associated with deep strike-slip faults in basins. In this embodiment, since the geological structures within the same area are relatively similar, the correspondence between the rigid strata and gypsum-salt layers in the first region of that region can be applied to other regions within that region. Of course, the closer the relationship is to the first region, the higher the accuracy. Once the correspondence for the first region is obtained, for the remaining regions, only the fracture analysis results of the rigid strata need to be obtained to obtain the fracture analysis results of the gypsum-salt layers. This allows for rapid acquisition of fracture analysis results for the gypsum-salt layers within that region, reducing the computational load and improving computational efficiency.

[0099] Optionally, step S120 may include steps S121, S122, and S123.

[0100] Step S121. Establish a first three-dimensional geological model and a second three-dimensional geological model based on the first information. The first three-dimensional geological model is a three-dimensional geological model of the first rigid stratum, and the second three-dimensional geological model is a three-dimensional geological model of the first gypsum-salt layer. An example of the three-dimensional geological model of the first rigid stratum is shown below. Figure 3 As shown, an example of a three-dimensional geological model of the first gypsum-salt layer is as follows: Figure 4 As shown.

[0101] Step S122. Obtain the vertical displacement value of the first rigid stratum based on the first three-dimensional geological model, and obtain the vertical displacement value of the first gypsum-salt layer based on the second three-dimensional geological model;

[0102] Step S123. Based on the vertical displacement value of the first rigid stratum and the vertical displacement value of the first gypsum-salt layer, obtain the correspondence between the vertical displacement values ​​of the first rigid stratum and the first gypsum-salt layer.

[0103] As another exemplary embodiment, step S120 may include steps S121, S124 and S125.

[0104] Step S121. Establish a first three-dimensional geological model and a second three-dimensional geological model based on the first information. The first three-dimensional geological model is a three-dimensional geological model of the first rigid stratum, and the second three-dimensional geological model is a three-dimensional geological model of the first gypsum-salt layer.

[0105] Step S124. Take at least three equally spaced first longitudinal sections from the first three-dimensional geological model according to the fault direction, and obtain the vertical fault displacement value of each first longitudinal section.

[0106] In this embodiment, the number of first longitudinal sections is 100, that is, 100 equally spaced first longitudinal sections are taken, and each first longitudinal section is numbered sequentially to obtain the vertical displacement value of each first longitudinal section, such as... Figure 5 As shown.

[0107] Step S125. Take at least three equally spaced second longitudinal sections from the second three-dimensional address model according to the fracture direction, and obtain the vertical displacement value of each second longitudinal section; the number and position of the first longitudinal section and the second longitudinal section are the same.

[0108] In this embodiment, the number of second longitudinal sections is 100, that is, 100 equally spaced second longitudinal sections are taken, and each second longitudinal section is numbered sequentially to obtain the vertical displacement value of each second longitudinal section, such as... Figure 6 As shown. Each second longitudinal section and its corresponding first longitudinal section are located in the same vertical plane. That is, the first longitudinal section No. 1 and the second longitudinal section No. 1 are located in the same vertical plane.

[0109] Optionally, step S126 may be included after step S125.

[0110] Step S126. Using the vertical displacement value of the first longitudinal section as the input value and the vertical displacement value of the second longitudinal section corresponding to the first longitudinal section as the output value, input these values ​​into the first supervised neural network model to obtain the trained first supervised neural network model. The first supervised neural network model can be a BP neural network model.

[0111] Optionally, step S150 may include step S151.

[0112] Step S151. Input the vertical displacement value of the second rigid stratum into the trained first supervised neural network model to obtain the vertical displacement value of the second gypsum-salt layer.

[0113] Example 2

[0114] This embodiment is basically the same as embodiment 1, except that after step S125, it may include steps S127, S128, S129 and S1210.

[0115] Step S127. Divide the first rigid stratum into a first pull-out segment and a first uplift segment according to the sign of the vertical fault displacement value. The first pull-out segment is the area included by at least two first longitudinal sections with consecutive negative vertical fault displacement values, and the first uplift segment is the area included by at least two first longitudinal sections with consecutive positive vertical fault displacement values.

[0116] like Figure 5 As shown, based on the statistical analysis of the vertical displacement of 100 profiles at equal intervals perpendicular to the strike of the Shunbei 5 fault, the variation of vertical displacement was determined, clarifying the influence of the Shunbei 5 fault on T7. 4 The tensile segment (with negative vertical displacement) and the uplift segment (with positive vertical displacement) generated by interface deformation, combined with T7 4 Based on the interface coherence characteristics, three uplift segments (sections 5-20, 22-37, and 85-95) and three pull-apart segments (sections 38-48, 50-62, and 70-80) can be identified. After obtaining the first pull-apart segment and the first uplift segment, they can be marked in the first three-dimensional geological model for easy viewing and calculation. The marked first three-dimensional geological model is shown below. Figure 7 As shown.

[0117] Step S128. Divide the first gypsum-salt layer into a second pull-out segment and a second uplift segment according to the sign of the vertical fault displacement value. The second pull-out segment is the area included by at least two second longitudinal sections with consecutive negative vertical fault displacement values, and the second uplift segment is the area included by at least two second longitudinal sections with consecutive positive vertical fault displacement values.

[0118] like Figure 6 As shown, the thickness of the gypsum-salt layer in the Wusonggeer Formation is determined based on the statistical analysis of the vertical displacement of 100 sections (equally spaced) perpendicular to the strike of the Shunbei 5 fault. (100 sections and...) Figure 5The results are completely consistent, with identical numbering. Statistical results show that the gypsum and salt content in the lower part of the uplift sections (sections 5-20, 22-37, and 85-95) is significantly thinner, while the gypsum and salt content in the lower part of the pull-apart sections (sections 38-48, 50-62, and 70-80) is significantly thicker. After obtaining the second pull-apart section and the second uplift section, they can be marked in the second / three-dimensional geological model for easy viewing and calculation. The marked second / three-dimensional geological model is shown below. Figure 8 As shown.

[0119] Step S129. Take the vertical dislocation value of the first longitudinal section within the first pull segment as the input value, and take the vertical dislocation value of the second longitudinal section corresponding to the first longitudinal section within the second pull segment as the output value, and input them into the second supervised neural network model to obtain the trained second supervised neural network model.

[0120] Step S1210. Take the vertical displacement value of the first longitudinal section within the first uplift segment as the input value, and take the vertical displacement value of the second longitudinal section corresponding to the first longitudinal section within the second uplift segment as the output value, and input them into the third supervised neural network model to obtain the trained third supervised neural network model.

[0121] The execution order of steps S127 and S128 is not important. By using the second and third supervised neural network models to calculate the pull-down segment and the compression segment respectively, the results can be made more accurate.

[0122] Optionally, step S140 may include steps S141 and S142.

[0123] Step S141. Establish a third three-dimensional geological model based on the second information, wherein the third three-dimensional geological model is a three-dimensional model of the second rigid stratigraphic horizon;

[0124] Step S142. Obtain the vertical displacement value of the second rigid stratum based on the third three-dimensional geological model.

[0125] Optionally, step S150 may include steps S152, S153, S154 and S155.

[0126] Step S152. Take at least three equally spaced third longitudinal sections from the third three-dimensional address model according to the fracture direction, and obtain the vertical fracture displacement value of each third longitudinal section;

[0127] Step S153. Divide the second rigid stratum into a third pull-out segment and a third uplift segment according to the sign of the vertical fault displacement value. The third pull-out segment is the area included by at least two third longitudinal sections with consecutive negative vertical fault displacement values, and the third uplift segment is the area included by at least two third longitudinal sections with consecutive positive vertical fault displacement values.

[0128] Step S154. The vertical displacement value of the third longitudinal section within the third pull segment is used as the input value and input into the trained second supervised neural network model to obtain the vertical displacement value corresponding to the third longitudinal section within the second gypsum-salt layer.

[0129] Step S155. The vertical displacement value of the third longitudinal section within the third uplift segment is used as the input value and input into the trained third supervised neural network model to obtain the vertical displacement value corresponding to the third longitudinal section within the second gypsum-salt layer.

[0130] The vertical displacement value within the pull-out segment of the second gypsum-salt layer is obtained through the second supervised neural network model, and the vertical displacement value within the uplift segment of the second gypsum-salt layer is obtained through the third supervised neural network model. The vertical displacement values ​​of the pull-out segment and the uplift segment are then combined according to their numbers to obtain the vertical displacement value within the second gypsum-salt layer.

[0131] Example 3

[0132] Based on the same inventive concept, as an implementation of the above method, this disclosure also provides a gypsum-salt layer strike-slip fracture analysis device. This device embodiment corresponds to the aforementioned method embodiment. For ease of reading, this device embodiment will not repeat the details of the aforementioned method embodiment one by one, but it should be clear that the gypsum-salt layer strike-slip fracture analysis device in this embodiment can correspondingly implement all the contents of the aforementioned method embodiment.

[0133] This disclosure provides an apparatus for analyzing strike-slip fractures in gypsum-salt layers, such as... Figure 9 As shown, the strike-slip fracture analysis device for the gypsum-salt layer includes:

[0134] The first calculation module 210 is used to obtain first information based on the three-dimensional seismic data of the first region. The first information includes information on the first rigid stratum and information on the first gypsum-salt layer.

[0135] The second calculation module 220 is used to obtain the correspondence between the vertical displacement value of the first rigid stratum and the vertical displacement value of the first gypsum-salt layer based on the first information.

[0136] The third calculation module 230 is used to obtain second information based on the three-dimensional seismic data of the second region, the second information including information on the second rigid stratum; the first region and the second region are two adjacent regions.

[0137] The fourth calculation module 240 is used to obtain the vertical displacement value of the second rigid stratum based on the second information;

[0138] The fifth calculation module 250 is used to obtain the vertical displacement value of the second gypsum-salt layer based on the vertical displacement value of the second rigid stratum and the corresponding relationship.

[0139] Optionally, the second computing module 220 includes:

[0140] The first calculation unit 221 is used to establish a first three-dimensional geological model and a second three-dimensional geological model based on the first information. The first three-dimensional geological model is a three-dimensional geological model of the first rigid stratum, and the second three-dimensional geological model is a three-dimensional geological model of the first gypsum-salt layer.

[0141] The second calculation unit 222 is used to obtain the vertical displacement value of the first rigid stratum based on the first three-dimensional geological model, and to obtain the vertical displacement value of the first gypsum-salt layer based on the second three-dimensional geological model.

[0142] The third calculation unit 223 is used to obtain the correspondence between the vertical displacement values ​​of the first rigid stratum and the first gypsum-salt layer based on the vertical displacement values ​​of the first rigid stratum and the first gypsum-salt layer.

[0143] Optionally, the second computing module may further include:

[0144] The first calculation unit 221 is used to establish a first three-dimensional geological model and a second three-dimensional geological model based on the first information. The first three-dimensional geological model is a three-dimensional geological model of the first rigid stratum, and the second three-dimensional geological model is a three-dimensional geological model of the first gypsum-salt layer.

[0145] The fourth calculation unit 224 is used to take at least three equally spaced first longitudinal sections from the first three-dimensional geological model according to the fault direction, and obtain the vertical fault displacement value of each first longitudinal section.

[0146] The fifth calculation unit 225 is used to take at least three equally spaced second longitudinal sections from the second three-dimensional address model according to the fracture direction, and obtain the vertical displacement value of each second longitudinal section; the number and position of the first longitudinal section and the second longitudinal section are the same.

[0147] Optionally, the second computing module 220 may further include:

[0148] The sixth calculation unit 226 is used to take the vertical displacement value of the first longitudinal section as the input value and the vertical displacement value of the second longitudinal section corresponding to the first longitudinal section as the output value, and input them into the first supervised neural network model to obtain the trained first supervised neural network model.

[0149] Optionally, the fifth computing module 250 includes:

[0150] The seventh calculation unit 251 is used to input the vertical displacement value of the second rigid stratum into the trained first supervised neural network model to obtain the vertical displacement value of the second gypsum-salt layer.

[0151] It should be noted that the specific manner in which each module performs its operation in the apparatus described in the above embodiments has been described in detail in the embodiments of the method, and will not be elaborated here.

[0152] Example 4

[0153] Based on the same inventive concept, as an implementation of the above method, this disclosure also provides a gypsum-salt layer strike-slip fracture analysis device. This device embodiment corresponds to the aforementioned method embodiment. For ease of reading, this device embodiment will not repeat the details of the aforementioned method embodiment one by one, but it should be clear that the gypsum-salt layer strike-slip fracture analysis device in this embodiment can correspondingly implement all the contents of the aforementioned method embodiment.

[0154] This disclosure provides an apparatus for analyzing strike-slip fractures in gypsum-salt layers, such as... Figure 10 As shown, this embodiment is basically the same as embodiment 3, except that:

[0155] The second calculation module 220 may further include:

[0156] The eighth calculation unit 227 is used to divide the first rigid stratum into a first pull-out segment and a first uplift segment according to the sign of the vertical fault displacement value. The first pull-out segment is the area included by at least two first longitudinal sections with consecutive negative vertical fault displacement values, and the first uplift segment is the area included by at least two first longitudinal sections with consecutive positive vertical fault displacement values.

[0157] The ninth calculation unit 228 is used to divide the first gypsum-salt layer into a second pull-out segment and a second uplift segment according to the sign of the vertical fault displacement value. The second pull-out segment is the area included by at least two second longitudinal sections with consecutive negative vertical fault displacement values, and the second uplift segment is the area included by at least two second longitudinal sections with consecutive positive vertical fault displacement values.

[0158] The tenth calculation unit 229 is used to take the vertical dislocation value of the first longitudinal section in the first pull-out segment as the input value, and the vertical dislocation value of the second longitudinal section corresponding to the first longitudinal section in the second pull-out segment as the output value, and input it into the second supervised neural network model to obtain the trained second supervised neural network model.

[0159] The eleventh calculation unit 210 is used to take the vertical displacement value of the first longitudinal section within the first uplift segment as the input value, and the vertical displacement value of the second longitudinal section corresponding to the first longitudinal section within the second uplift segment as the output value, and input them into the third supervised neural network model to obtain the trained third supervised neural network model.

[0160] Optionally, the fourth computing module 240 includes:

[0161] The twelfth calculation unit 241 is used to establish a third three-dimensional geological model based on the second information, wherein the third three-dimensional geological model is a three-dimensional model of the second rigid stratigraphic horizon;

[0162] The thirteenth calculation unit 242 is used to obtain the vertical displacement value of the second rigid stratum based on the third three-dimensional geological model.

[0163] Optionally, the fifth computing module 250 includes:

[0164] The fourteenth calculation unit 252 is used to take at least three equally spaced third longitudinal sections of the third three-dimensional address model according to the fracture direction, and obtain the vertical fracture displacement value of each third longitudinal section.

[0165] The fifteenth calculation unit 253 is used to divide the second rigid stratum into a third pull-out segment and a third uplift segment according to the sign of the vertical fault displacement value. The third pull-out segment is the area included by at least two third longitudinal sections with consecutive negative vertical fault displacement values, and the third uplift segment is the area included by at least two third longitudinal sections with consecutive positive vertical fault displacement values.

[0166] The sixteenth calculation unit 254 is used to input the vertical displacement value of the third longitudinal section within the third pull segment as the input value into the trained second supervised neural network model to obtain the vertical displacement value corresponding to the third longitudinal section within the second gypsum-salt layer.

[0167] The seventeenth calculation unit 255 is used to input the vertical displacement value of the third longitudinal section within the third uplift section as the input value into the trained third supervised neural network model to obtain the vertical displacement value corresponding to the third longitudinal section within the second gypsum-salt layer.

[0168] It should be noted that the specific manner in which each module performs its operation in the apparatus described in the above embodiments has been described in detail in the embodiments of the method, and will not be elaborated here.

[0169] Example 5

[0170] Corresponding to the above method embodiments, this disclosure also provides an electronic device. The electronic device described below can be referred to in conjunction with the above-described method for analyzing strike-slip fractures in gypsum-salt layers.

[0171] Please see Figure 11 The electronic device 300 may include a processor 301 and a memory 302. The electronic device 300 may also include one or more of a multimedia component 303, an input / output (I / O) interface 304, and a communication component 305.

[0172] The processor 301 controls the overall operation of the electronic device 300 to complete all or part of the steps in the above-mentioned method for analyzing strike-slip fractures in gypsum-salt layers. The memory stores various types of data to support the operation of the electronic device 300. This data may include, for example, instructions for any application or method operating on the electronic device 300, and application-related data such as contact data, sent and received messages, images, audio, video, etc. The memory 302 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. Multimedia component 303 may include a screen and an audio component. The screen may be, for example, a touchscreen, and the audio component is used to output and / or input audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signals may be further stored in memory 302 or transmitted via communication component 305. The audio component also includes at least one speaker for outputting audio signals. I / O interface 304 provides an interface between processor 301 and other interface modules, such as a keyboard, mouse, buttons, etc. These buttons may be virtual or physical buttons. Communication component 305 is used for wired or wireless communication between the electronic device 300 and other devices. Wireless communication may include Wi-Fi, Bluetooth, Near Field Communication (NFC), 2G, 3G, or 4G, or a combination of these. Therefore, the corresponding communication component 305 may include a Wi-Fi module, a Bluetooth module, or an NFC module.

[0173] In an exemplary embodiment, the electronic device 300 may be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components to perform the above-described method for analyzing strike-slip fractures in gypsum-salt layers.

[0174] In another exemplary embodiment, a computer-readable storage medium including program instructions is also provided, which, when executed by a processor, implement the steps of the above-described gypsum-salt layer strike-slip fracture analysis method. For example, the computer-readable storage medium may be the memory 302 including the program instructions, which may be executed by the processor 301 of the electronic device 300 to complete the above-described gypsum-salt layer strike-slip fracture analysis method.

[0175] Example 6

[0176] Corresponding to the above method embodiments, this disclosure also provides a readable storage medium. The readable storage medium described below can be referred to in conjunction with the above-described method for analyzing strike-slip fractures in gypsum-salt layers.

[0177] A readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the gypsum-salt layer strike-slip fracture analysis method of the above-described method embodiments.

[0178] Specifically, the readable storage medium can be a USB flash drive, a portable hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, or any other readable storage medium capable of storing program code.

[0179] Example 7

[0180] Corresponding to the above method embodiments, this disclosure also provides a computer program product. The computer program product described below can be referred to in conjunction with the above-described method for analyzing strike-slip fractures in gypsum-salt layers.

[0181] A computer program product, when run on a computer, causes the computer to execute the steps of the above-described gypsum-salt layer strike-slip fracture analysis method provided in the embodiments of the present invention.

[0182] In the above embodiments, implementation can be achieved, in whole or in part, by software, hardware, firmware, or any combination thereof. When implemented in software, it can be implemented, in whole or in part, as a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the processes or functions described in the embodiments of this disclosure are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another via wired (e.g., coaxial cable, fiber optic, DSL (Digital Subscriber Line)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium accessible to a computer or a data storage device such as a server or data center that integrates one or more available media. The available media can be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., DVDs (Digital Versatile Discs)), or semiconductor media (e.g., SSDs (Solid State Disks)).

[0183] The above are merely preferred embodiments of this disclosure and are not intended to limit this disclosure. Various modifications and variations can be made to this disclosure by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this disclosure should be included within the scope of protection of this disclosure.

Claims

1. A method for analyzing strike-slip fractures in gypsum-salt layers, characterized in that, include: The first information is obtained based on the three-dimensional seismic data of the first region, and the first information includes the information of the first rigid stratum and the information of the first gypsum-salt layer. Based on the first information, the correspondence between the vertical displacement value of the first rigid stratum and the vertical displacement value of the first gypsum-salt layer is obtained. The second information is obtained based on the three-dimensional seismic data of the second region, and the second information includes information on the second rigid stratum. The vertical displacement value of the second rigid stratum is obtained based on the second information; Based on the vertical displacement value of the second rigid stratum and the corresponding relationship, the vertical displacement value of the second gypsum-salt layer is obtained.

2. The method for analyzing strike-slip fractures in gypsum-salt layers according to claim 1, characterized in that, The step of obtaining the correspondence between the vertical displacement value of the first rigid stratum and the vertical displacement value of the first gypsum-salt layer based on the first information includes: Based on the first information, a first three-dimensional geological model and a second three-dimensional geological model are established. The first three-dimensional geological model is a three-dimensional geological model of the first rigid stratum, and the second three-dimensional geological model is a three-dimensional geological model of the first gypsum-salt layer. The vertical displacement value of the first rigid stratum is obtained based on the first three-dimensional geological model, and the vertical displacement value of the first gypsum-salt layer is obtained based on the second three-dimensional geological model. Based on the vertical displacement values ​​of the first rigid stratum and the first gypsum-salt layer, the correspondence between the vertical displacement values ​​of the first rigid stratum and the first gypsum-salt layer is obtained.

3. The method for analyzing strike-slip fractures in gypsum-salt layers according to claim 1, characterized in that, The calculation methods for the vertical displacement value of the first rigid stratum and the three-dimensional geological model of the first gypsum-salt layer include: Based on the first information, a first three-dimensional geological model and a second three-dimensional geological model are established. The first three-dimensional geological model is a three-dimensional geological model of the first rigid stratum, and the second three-dimensional geological model is a three-dimensional geological model of the first gypsum-salt layer. Take at least three equally spaced first longitudinal sections from the first three-dimensional geological model according to the fault direction, and obtain the vertical fault displacement value of each first longitudinal section. The second three-dimensional geological model is used to take at least three equally spaced second longitudinal sections according to the fault direction, and the vertical fault displacement value of each second longitudinal section is obtained; the number and position of the first longitudinal section and the second longitudinal section are the same.

4. The method for analyzing strike-slip fractures in gypsum-salt layers according to claim 3, characterized in that, The step of obtaining the correspondence between the vertical displacement value of the first rigid stratum and the vertical displacement value of the first gypsum-salt layer based on the first information includes: The vertical displacement value of the first longitudinal profile is used as the input value, and the vertical displacement value of the second longitudinal profile corresponding to the first longitudinal profile is used as the output value. These values ​​are then input into the first supervised neural network model to obtain the trained first supervised neural network model.

5. The method for analyzing strike-slip fractures in gypsum-salt layers according to claim 4, characterized in that, The step of obtaining the vertical displacement value of the second gypsum-salt layer based on the vertical displacement value of the second rigid stratum and the corresponding relationship includes: The vertical displacement value of the second rigid stratum is input into the trained first supervised neural network model to obtain the vertical displacement value of the second gypsum-salt layer.

6. The method for analyzing strike-slip fractures in gypsum-salt layers according to claim 3, characterized in that, The step of obtaining the correspondence between the vertical displacement value of the first rigid stratum and the vertical displacement value of the first gypsum-salt layer based on the first information includes: The first rigid stratum is divided into a first pull-out segment and a first uplift segment based on the sign of the vertical fault displacement value. The first pull-out segment is the area included by at least two first longitudinal sections with consecutive negative vertical fault displacement values, and the first uplift segment is the area included by at least two first longitudinal sections with consecutive positive vertical fault displacement values. The first gypsum-salt layer is divided into a second pull-out segment and a second uplift segment based on the sign of the vertical fault displacement value. The second pull-out segment is the area included by at least two second longitudinal sections with consecutive negative vertical fault displacement values, and the second uplift segment is the area included by at least two second longitudinal sections with consecutive positive vertical fault displacement values. The vertical dislocation value of the first longitudinal section within the first pull segment is used as the input value, and the vertical dislocation value of the second longitudinal section corresponding to the first longitudinal section within the second pull segment is used as the output value. These values ​​are then input into the second supervised neural network model to obtain the trained second supervised neural network model. The vertical displacement value of the first longitudinal section within the first uplift segment is used as the input value, and the vertical displacement value of the second longitudinal section corresponding to the first longitudinal section within the second uplift segment is used as the output value. These values ​​are then input into the third supervised neural network model to obtain the trained third supervised neural network model.

7. The method for analyzing strike-slip fractures in gypsum-salt layers according to claim 6, characterized in that, The step of obtaining the vertical displacement value of the second rigid stratum based on the second information includes: A third three-dimensional geological model is established based on the second information, wherein the third three-dimensional geological model is a three-dimensional model of the second rigid stratigraphic horizon; The vertical fault displacement value of the second rigid stratum is obtained based on the third three-dimensional geological model.

8. The method for analyzing strike-slip fractures in gypsum-salt layers according to claim 7, characterized in that, The step of obtaining the vertical displacement value of the second gypsum-salt layer based on the vertical displacement value of the second rigid stratum and the corresponding relationship includes: The third three-dimensional geological model is used to take at least three equally spaced third longitudinal sections according to the fault direction, and the vertical fault displacement value of each third longitudinal section is obtained. The second rigid stratum is divided into a third pull-out section and a third uplift section based on the sign of the vertical fault displacement value. The third pull-out section is the area included by at least two third longitudinal sections with consecutive negative vertical fault displacement values, and the third uplift section is the area included by at least two third longitudinal sections with consecutive positive vertical fault displacement values. The vertical displacement value of the third longitudinal section within the third pull segment is used as the input value and input into the trained second supervised neural network model to obtain the vertical displacement value corresponding to the third longitudinal section within the second gypsum-salt layer. The vertical displacement value of the third longitudinal section within the third uplift segment is used as the input value and input into the trained third supervised neural network model to obtain the vertical displacement value corresponding to the third longitudinal section within the second gypsum-salt layer.

9. A device for analyzing strike-slip fractures in gypsum-salt layers, characterized in that, include: The first calculation module is used to obtain first information based on the three-dimensional seismic data of the first region. The first information includes information on the first rigid stratum and information on the first gypsum-salt layer. The second calculation module is used to obtain the correspondence between the vertical displacement value of the first rigid stratum and the vertical displacement value of the first gypsum-salt layer based on the first information. The third calculation module is used to obtain second information based on the three-dimensional seismic data of the second region, the second information including information on the second rigid strata horizon; The fourth calculation module is used to obtain the vertical displacement value of the second rigid stratum based on the second information; The fifth calculation module is used to obtain the vertical displacement value of the second gypsum-salt layer based on the vertical displacement value of the second rigid stratum and the corresponding relationship.

10. An electronic device, characterized in that, include: Memory, used to store computer programs; A processor, configured to execute the computer program to implement the steps of the strike-slip fracture analysis method for gypsum-salt layers as described in any one of claims 1 to 8.

11. A readable storage medium, characterized in that: The readable storage medium stores a computer program that, when executed by a processor, implements the steps of the gypsum-salt layer strike-slip fracture analysis method as described in any one of claims 1 to 8.

12. A computer program product, characterized in that: When the computer program product is run on a computer, the computer enables the computer to implement the strike-slip fracture analysis method for gypsum-salt layers as described in any one of claims 1-8.

Citation Information

Patent Citations

  • Foreland basin deep buried and compressed type complex gypsum-salt rock identification and distribution prediction method

    CN105510993A

  • Method for identifying development direction of strike-slip faults in sedimentary basin

    CN110618454A