A method and device for characterizing carbonate strike-slip faults

Abstract

The application discloses a carbonate rock strike-slip fault characterization method and device, which comprises the following steps: performing multiple filtering processing on a strike-slip fault in seismic data; performing hierarchical characterization on a fault surface of the strike-slip fault after the multiple filtering processing; performing three-dimensional space fusion on fault surfaces of different hierarchies to obtain a fault fusion body; performing edge enhancement processing on the fault fusion body to obtain a fault body; and performing effectiveness evaluation on internal structure delineation of the strike-slip fault based on the fault body. The application can provide an effective characterization method for fine description of internal structure of a strike-slip fault of an ultra-deep carbonate rock oil and gas reservoir in a low signal-to-noise ratio background.

Description

Technical Field

[0001] This invention relates to a technique for fine characterization of fracture zones within strike-slip faults in ultra-deep carbonate oil and gas reservoirs, belonging to the field of seismic data interpretation. Background Technology

[0002] Ultra-deep carbonate oil and gas reservoirs mainly refer to those buried at depths exceeding 5000 meters. Strike-slip faults play a crucial role in the development of ultra-deep carbonate reservoirs and the accumulation of oil and gas. The development of carbonate reservoirs is often related to karstification. Besides being related to tectonic elevation, karstification is prone to vertical dissolution in areas with well-developed strike-slip faults. The fault structure of strike-slip faults controls the karst pattern and the scale of reservoir development. Strike-slip faults also serve as favorable channels for oil and gas migration. Deep oil and gas migrate vertically along strike-slip faults. Due to the strong heterogeneity of carbonate rocks, in strata with complete reservoir-seal assemblages, the carbonate rocks themselves can act as lateral shielding conditions, forming favorable oil and gas accumulation sites. Different fault structures control the pattern of oil and gas migration and the intensity of oil and gas charging. Therefore, strike-slip faults control both the development of karst reservoirs and the conduction and migration of oil and gas. The structure of strike-slip faults plays a vital role in the formation of reservoirs in ultra-deep carbonate rocks.

[0003] Due to the large burial depth of ultra-deep carbonate oil and gas reservoirs, the propagation of seismic waves is strongly absorbed by the overlying strata, resulting in significant energy attenuation. Consequently, the target layer has weak energy, the signal-to-noise ratio of seismic data is low, and the imaging effect of seismic data on internal fractures in ultra-deep carbonate rocks is poor. Summary of the Invention

[0004] The purpose of this invention is to develop a method for fine characterization of strike-slip faults based on seismic data by deeply analyzing the seismic response characteristics of strike-slip faults in ultra-deep carbonate oil and gas reservoirs and studying the internal morphological structure of strike-slip faults.

[0005] As one aspect of the present invention, a method for characterizing strike-slip fractures in carbonate rocks is provided, comprising:

[0006] Multiple filtering processes were applied to strike-slip faults in seismic data.

[0007] The fracture surface of the strike-slip fracture after the aforementioned multiple filtering process is characterized in a hierarchical manner.

[0008] Three-dimensional spatial fusion of fracture surfaces of different grades yields a fracture fusion body;

[0009] Edge reinforcement treatment is applied to the fracture fusion body to obtain the fracture body;

[0010] The effectiveness of characterizing the internal structure of the strike-slip fracture based on the fracture body is evaluated.

[0011] As another aspect of the present invention, a computer-readable storage medium is provided, on which a computer program is stored, wherein the program, when executed by a processor, implements the above-described method.

[0012] As another aspect of the present invention, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-described method when executing the program.

[0013] As another aspect of the present invention, a device for characterizing strike-slip fractures in carbonate rocks is provided, comprising:

[0014] The filtering module is used to perform multiple filtering processes on strike-slip faults in seismic data.

[0015] The grading module is used to perform grading sub-characterization on the fracture surface of the strike-slip fracture after the multiple filtering process.

[0016] The fusion module is used to fuse fracture surfaces of different levels in three-dimensional space to obtain a fracture fusion body;

[0017] The reinforcement module is used to perform edge reinforcement processing on the fractured fusion body to obtain the fractured body;

[0018] The evaluation module is used to evaluate the effectiveness of the characterization of the internal structure of the strike-slip fracture based on the fracture body.

[0019] The embodiments of the present invention can provide an effective characterization method for fine description of the internal structure of strike-slip faults in ultra-deep carbonate oil and gas reservoirs under low signal-to-noise ratio background.

[0020] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures described in the written description, claims, and drawings.

[0021] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0022] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:

[0023] Figure 1 A schematic diagram illustrating the enhancement of fracture features in seismic data through multiple filtering.

[0024] Figure 2 A schematic diagram illustrating the classification of strike-slip fractures;

[0025] Figure 3 This is a schematic diagram of the overlay of the fracture surface and seismic data.

[0026] Figure 4 A schematic diagram showing the comparison before and after convolutional filtering enhancement of the fractured fusion body;

[0027] Figure 5 This is a planar view showing the fracture characterization effect of the method in this embodiment compared to conventional fracture characterization.

[0028] Figure 6 This is a cross-sectional view showing the fracture characterization effect of the method in this embodiment compared with that of conventional fracture characterization;

[0029] Figure 7 This is a flowchart of the carbonate rock strike-slip fracture characterization method described in this embodiment;

[0030] Figure 8 This is a schematic diagram of the carbonate rock strike-slip fracture characterization device described in this embodiment. Detailed Implementation

[0031] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

[0032] 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 numerals in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Rather, they are merely examples of apparatuses and methods consistent with some aspects of the invention as detailed in the appended claims.

[0033] In their research addressing the problems of existing technologies, the inventors discovered that strike-slip faults are characterized by multi-phase activity and evolution. The fault patterns of different strata along the longitudinal direction are completely different, exhibiting obvious layered deformation characteristics. Furthermore, compared to normal and reverse faults, strike-slip faults have smaller longitudinal displacements and less pronounced seismic axial displacement features, increasing the difficulty of characterizing them. In addition, karstification is often well-developed within ultra-deep carbonate rocks. Karstification is related to tectonics and inter-strata faults, including both lateral inter-strata karstification and longitudinal dissolution. The response characteristics of longitudinal dissolution in seismic data are similar to those of strike-slip faults, generating interference information that further complicates strike-slip fault characterization.

[0034] To address this, the inventors proposed a solution that uses multiple filtering processes driven by seismic data to analyze the seismic response characteristics of strike-slip faults at different scales, and to conduct a detailed study of the internal structural morphology of strike-slip faults. This provides a new method and approach for the study of reservoir control and oil and gas production capacity classification and evaluation of ultra-deep carbonate oil and gas reservoirs via strike-slip faults.

[0035] This embodiment provides a method for characterizing strike-slip fractures in carbonate rocks, describing the internal structure of strike-slip fractures in ultra-deep carbonate oil and gas reservoirs, such as... Figure 7 As shown, the method can specifically include the following steps:

[0036] Step 100: Perform multiple filtering on the strike-slip faults in the seismic data.

[0037] This step involves targeted preprocessing of strike-slip faults using multiple filtering techniques. Because carbonate rocks are buried at great depths, the signal-to-noise ratio of seismic data is often low. Furthermore, strike-slip faults have small longitudinal displacements, resulting in indistinct response characteristics on seismic profiles. Therefore, targeted filtering of strike-slip faults is necessary to improve the original seismic data's ability to characterize these faults.

[0038] Seismic data noise is mainly random noise, appearing as scattered point-like features on seismic profiles with little regularity. Strike-slip faults, on the other hand, are effective signals, exhibiting features such as axial displacement and deflection in the same direction on seismic profiles, often following predictable patterns. To address the differences between strike-slip faults and random noise, a multi-filtering method is used for seismic data preprocessing.

[0039] Specifically, the multiple filtering processes can include: structural smoothing filtering, dip-guided filtering, and broadband filtering. Due to the poor regularity of noise, structural smoothing filtering of seismic data can effectively eliminate some random noise and highlight the effective signal. For random noise that structural smoothing filtering fails to eliminate, an analysis is performed on both from the perspective of seismic dip angle, and dip-guided filtering is used to remove the noise. For noise that still cannot be eliminated by these two filtering methods, broadband filtering is used to eliminate residual noise based on the frequency domain differences between strike-slip faults and noise.

[0040] Step 200: Characterize the fracture surface of the strike-slip fracture internal structure in stages.

[0041] Due to the differences in tectonic stress and strike-slip fracture activity intensity, strike-slip fractures often form multiple fracture surfaces. The size, direction, and shape of the fracture displacement of different fracture surfaces vary greatly. These fracture surfaces of different sizes, directions, and shapes together form a complex strike-slip fracture zone.

[0042] For fractures of different directions and scales, a multi-dimensional attribute comprehensive analysis is conducted. For primary fracture surfaces aligned with the principal stress direction and with a displacement greater than a predetermined value (e.g., 10 meters), the dominant fracture surface attributes are used for characterization. For secondary fracture surfaces with a displacement less than the predetermined value (10 meters), fracture structure attributes are used for characterization through an iterative series method. Through multi-attribute and multi-method techniques, a hierarchical characterization of strike-slip fracture surfaces is achieved.

[0043] Step 300: Perform three-dimensional spatial fusion of fracture surfaces of different grades to obtain a fracture fusion body.

[0044] Although multi-attribute and multi-method techniques have been used to characterize strike-slip faults at different levels, the spatial combination and overlap relationships of faults at different levels remain unclear. In this step, a multi-threaded regression method using support vector machines is employed to fuse different seismic attribute data volumes in three-dimensional space, resulting in a fused seismic attribute data volume characterizing the internal structure of the fault fracture zone, referred to as the fault fusion volume. Specifically, multi-attribute fusion characterizes the spatial combination and overlap relationships of fault surfaces at different levels.

[0045] Step 400: Perform edge enhancement processing on the fractured fusion body to highlight the fracture contour features.

[0046] The fracture fusion body can reflect the spatial distribution characteristics of fracture surfaces of different orders, as well as the spatial combination relationship of fractures of different orders. However, due to the influence of different algorithm depth fusion, the fracture surface outline is not clear. The anomaly convolutional filtering enhancement technology is used to enhance the fracture surface, highlight the difference between the fracture fracture zone and the surrounding rock, and make the internal structure morphology of the strike-slip fracture clearer, thus obtaining the final "fracture body".

[0047] Step 500: Evaluate the effectiveness of the characterization of the internal structure of the strike-slip fracture.

[0048] The drilling and logging data of the fractured body and the actual drilled well were calibrated and analyzed to determine the drilling and logging response of the fractured body within different threshold value ranges. Based on the drilling response characteristics corresponding to different threshold value ranges, the fracture surface was classified into different levels. An example of this classification is shown in Table 1.

[0049] Table 1

[0050] Serial Number Fracture range Drilling and logging situation Fracture surface level 1 F≥320 Loss of water during drilling Main fracture surface 2 320＞F≥130 Class I reservoirs in well logging Secondary fracture surface 3 F＜130 No response No fracture surface

[0051] The method described in this embodiment uses seismic data to characterize the morphological features of strike-slip faults and studies the combination and overlap relationships between different fault surfaces within the strike-slip fault. This provides an effective characterization method for the detailed description of the internal structure of strike-slip faults in ultra-deep carbonate oil and gas reservoirs under low signal-to-noise ratio backgrounds.

[0052] Through application analysis in ultra-deep carbonate oil and gas reservoirs, a total of 365 drilled wells were statistically analyzed, with 286 primary fracture surface samples (98.6% coincidence rate) and 435 secondary fracture surface samples (96.5% coincidence rate).

[0053] The following example illustrates the specific implementation process of the method described in this embodiment:

[0054] 1. Conduct research on post-stack interpretive processing of seismic data, and improve the signal-to-noise ratio and strike-slip fault characterization capabilities of seismic data through structural smoothing, dip-guided filtering, and broadband filtering.

[0055] Since the original seismic data of ultra-deep carbonate rocks do not show obvious response characteristics to strike-slip faults, directly using the original seismic data to characterize strike-slip faults is not very effective. First, it is necessary to perform interpretive processing of the seismic data to improve its ability to characterize strike-slip faults. This method mainly improves the response characteristics of the original seismic data to the faults through the following three steps.

[0056] The first step is to perform structural smoothing filtering, which is a smoothing filtering process for the spatial variation of the seismic axis in the same direction. This process suppresses random noise, eliminates the chaotic and irregular random signals hidden in the seismic data, and eliminates false signals that affect the characterization of strike-slip faults, thereby improving the lateral continuity of the seismic axis in the same direction.

[0057] The second step is to perform tilt-guided filtering. By calculating the tilt angle of the seismic axis in the same direction, the trend of tilt angle change in space is determined. Gaussian spatial filtering is then performed along the tilt angle trends in different directions to further eliminate noise from the perspective of tilt angle differences.

[0058] The third step involves broadband filtering, analyzing the differences between random signals and effective fracture imaging signals in the frequency domain. By using a broadband filtering method, the filter is set to retain the seismic information of the effective signals at the mid-to-low frequency end and remove the seismic information at the high frequency end of the noise signal.

[0059] Figure 1 This is a schematic diagram illustrating the fracture characteristics of seismic data enhanced by multiple filtering, as shown below. Figure 1 As shown, after multiple filtering, the seismic data's ability to characterize faults is significantly enhanced, and the seismic reflection co-axis is more obvious.

[0060] 2. Conduct hierarchical characterization of fault surfaces at different scales within strike-slip fault fracture zones, and utilize different seismic attributes to characterize fault surfaces of different levels.

[0061] Influenced by multiple tectonic movements, the strike-slip fault contains a complex fractured structure, with multiple sets of fault surfaces exhibiting varying displacements, extension lengths, and fault strata. These different fault surfaces are interlaced, forming a complex fault network system. Based on the scale of the fault surfaces, they are divided into primary fault surfaces and secondary fault surfaces. Since different fault surfaces produce different seismic reflection characteristics, different methods must be used to characterize each fault surface.

[0062] The main fault surface is large in scale, with a fault displacement generally greater than 10 meters. On the seismic profile, it is manifested as a significant faulting along the same axis. The dominant fault surface attributes are extracted and characterized using EPoffice software. The dominant fault surface attributes reflect the lateral changes in dip angle of adjacent seismic traces by calculating the correlation coefficient of the dip angle of the seismic axis along the same axis. Since the fault displacement of the main fault surface is relatively large and the dip angle of the fault surface differs greatly from that of the surrounding rock, the dominant fault surface attributes can effectively reflect the characteristics of the main fault surface.

[0063] Secondary fault surfaces are small in scale, with fault displacement generally less than 10 meters. On seismic profiles, the faulting along the same axis is not obvious, and it mainly manifests as axial deflection or local disorder. Since the seismic response characteristics of secondary fault surfaces are not obvious, Landmark software is used to extract the fault structure attributes for characterization. The fault structure attributes are analyzed by waveform discontinuity to reflect the subtle changes hidden in the seismic data, thus achieving a smaller-scale characterization of the fault surface.

[0064] like Figure 2 As shown, by analyzing the fault surface response characteristics driven by seismic data and characterizing the fault surface features in a hierarchical manner, it is possible to achieve a fine depiction of fault surfaces of different development scales.

[0065] 3. Perform three-dimensional spatial multi-attribute fusion, and merge multiple sets of seismic attribute bodies representing fault surfaces at different scales into a single set of seismic attribute bodies representing the internal structure of the fault, i.e., the fault fusion body.

[0066] After hierarchical characterization of strike-slip fracture surfaces, multi-method characterization of fractures at different levels has been achieved. However, fracture surfaces at different scales are characterized using different data volumes, and the description of the internal structural morphology of strike-slip fractures remains unclear. The overlapping and combination relationship between the main fracture surface and the secondary fracture surface is still unclear. To solve this problem, it is necessary to carry out spatial fusion of the main fracture surface and the secondary fracture surface to form a set of fracture volumes that independently characterize the strike-slip fracture structure.

[0067] like Figure 3 As shown, the SMI software's support vector machine multi-threaded regression method is used to achieve spatial fusion of the primary and secondary fracture surfaces. The support vector machine multi-threaded regression performs three-dimensional spatial fusion of different sample bodies through RGB fusion. By regressing sample bodies with different attributes to different color ranges, the spatial normalization of the primary and secondary fracture surfaces can be effectively achieved.

[0068] 4. The edge sharpening enhancement technique of the fused seismic attribute volume is performed using anomaly volume convolutional filtering to highlight the contour features of the fracture surface.

[0069] After fusing fracture surface attribute volumes using a multi-threaded regression algorithm based on support vector machines, the main fracture and secondary fractures suffer from edge blurring due to differences in different algorithms. To address this issue, edge sharpening processing is performed on the fracture fusion volume.

[0070] like Figure 4 As shown, the convolutional filtering enhancement technology of Epoffice software is used to sharpen the edges of the fused fracture body. By assigning values ​​to regions with different degrees of fracture development, the differences between the fracture development zone and the matrix surrounding rock zone are highlighted. After the convolutional filtering enhancement, the primary and secondary relationships of the fracture surface space are more obvious, and the development characteristics of the fracture surface space are clearer.

[0071] 5. Based on the drilling and logging data of the block, conduct geological relocation analysis of the fracture body, calibrate the drilling loss and logging interpretation data with the fracture body, determine the attribute threshold values ​​of the main fracture surface and secondary fractures respectively, and evaluate the reliability of the description of the internal structural morphology of the fracture.

[0072] Comparison of fracture depiction effects

[0073] Conventional fault characterization methods primarily involve extracting coherent attributes from post-stack seismic data after fault enhancement processing. This method, in addition to post-stack seismic data fault enhancement processing, focuses on characterizing fault surfaces of different orders separately. Based on this, three-dimensional spatial fusion is performed, and the fused fault attribute volume undergoes edge enhancement and sharpening processing.

[0074] like Figure 5 As shown, compared with conventional coherent techniques, this method provides a clearer characterization of the internal structure of the fracture and a clearer overlapping relationship of the internal fracture surfaces within the fracture fracture zone.

[0075] like Figure 6 As shown, the fracture zone characterization method used in this embodiment, compared with conventional fracture characterization methods, can better reflect the changes in different fracture patterns along the longitudinal direction of the strike-slip fracture on the cross section. The characteristics of fracture development are inconsistent between different strata, which is consistent with the characteristics of strike-slip fractures being subjected to multiple tectonic movements, multiple evolutions, and layered deformation.

[0076] As shown in Table 2, through the application of the method in this embodiment, the characterization of ultra-deep carbonate strike-slip fractures transitions from the representation of the outer morphology to the representation of the internal structure of the fracture zone, realizing the transformation from traditional qualitative description to semi-quantitative description. The consistency rate between the fracture surface characterization results and actual drilling data is as high as 96.5%. Through experiments in multiple blocks, the surface characterization accuracy of the fracture surface is improved by 32.6% to 48.8%, which significantly improves the accuracy of describing carbonate strike-slip fractures in ultra-deep, complex, and low signal-to-noise ratio environments.

[0077] Table 2

[0078]

[0079] Another embodiment of the present invention provides a carbonate rock strike-slip fracture characterization device to implement the above method, such as... Figure 8 As shown, the device includes: a filtering module 10, a grading module 20, a fusion module 30, an enhancement module 40, and an evaluation module 50. Its main working principle is as follows:

[0080] The filtering module 10 performs multiple filtering processes on the strike-slip faults in the seismic data; after the multiple filtering processes are completed, the grading module 20 performs graded characterization on the fracture surfaces of the strike-slip faults; the fusion module 30 performs three-dimensional spatial fusion on the fracture surfaces of different grades to obtain a fracture fusion body; the enhancement module 40 performs edge enhancement processing on the fracture fusion body to obtain a fracture body; and the evaluation module 50 evaluates the effectiveness of the characterization of the internal structure of the strike-slip fault based on the fracture body.

[0081] Other technical details and effects of this embodiment can be found in the relevant content of the above method embodiments, and will not be repeated here.

[0082] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage and optical storage) containing computer-usable program code.

[0083] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0084] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0085] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0086] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for characterizing strike-slip fractures in carbonate rocks, characterized in that, include: Multiple filtering processes were applied to strike-slip faults in seismic data. The fracture surface of the strike-slip fracture after the aforementioned multiple filtering process is characterized in a hierarchical manner. Three-dimensional spatial fusion of fracture surfaces of different grades yields a fracture fusion body; Edge reinforcement treatment is applied to the fracture fusion body to obtain the fracture body; The effectiveness of characterizing the internal structure of the strike-slip fracture based on the fracture body is evaluated. The effectiveness evaluation includes: The fractured body was calibrated and analyzed in conjunction with the drilling and logging data of the actual drilled well. Based on the analysis results, the drilling and logging response of the fracture body at different threshold value ranges was determined; Based on the drilling response characteristics corresponding to different threshold value ranges, fracture surface level classification is performed.

2. The method according to claim 1, characterized in that, The multiple filtering processes include: constructing smoothing filtering, tilt-guided filtering, and broadband filtering.

3. The method according to claim 1, characterized in that, The hierarchical characterization includes: For the main fracture surface with a displacement greater than a predetermined value, the dominant fracture surface properties are used to characterize it. For secondary fracture surfaces with a displacement less than a predetermined value, fracture structure properties are used for characterization.

4. The method according to claim 3, characterized in that, The three-dimensional spatial fusion includes: multi-attribute fusion characterizing the spatial combination and overlapping relationship of fracture surfaces at different levels.

5. The method according to claim 1, characterized in that, The edge enhancement process includes highlighting the difference between the fracture fracture zone of the fracture fusion body and the surrounding rock.

6. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the method as described in any one of claims 1 to 5.

7. A computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the method as described in any one of claims 1 to 5.

8. A device for characterizing strike-slip fractures in carbonate rocks, characterized in that, include: The filtering module is used to perform multiple filtering processes on strike-slip faults in seismic data. The grading module is used to perform grading sub-characterization on the fracture surface of the strike-slip fracture after the multiple filtering process. The fusion module is used to fuse fracture surfaces of different levels in three-dimensional space to obtain a fracture fusion body; The reinforcement module is used to perform edge reinforcement processing on the fractured fusion body to obtain the fractured body; The evaluation module is used to evaluate the effectiveness of the characterization of the internal structure of the strike-slip fracture based on the fracture body. The effectiveness evaluation includes: The fractured body was calibrated and analyzed in conjunction with the drilling and logging data of the actual drilled well. Based on the analysis results, the drilling and logging response of the fracture body at different threshold value ranges was determined; Based on the drilling response characteristics corresponding to different threshold value ranges, fracture surface level classification is performed.

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