Inclined shaft sound wave fracture-crack characterization method and device, electronic equipment and medium

Abstract

The invention discloses a fracture-crack characterization method and device of inclined shaft sound waves, electronic equipment and a medium. The method comprises the following steps: acquiring sound wave remote detection data and well track parameters of a target inclined shaft, such as a hole drift angle and an azimuth angle; acquiring sound wave remote detection data under cylindrical coordinates, and converting the sound wave remote detection data into a rectangular coordinate system; carrying out sensitive attribute extraction based on the acoustic remote detection data of the rectangular coordinate system to obtain a plurality of fracture-crack sensitive attributes; carrying out attribute fusion on the plurality of fracture-crack sensitive attributes to obtain crack fusion attributes; and according to the fracture fusion attribute, the oblique angle and the azimuth angle, well periphery fracture-fracture data of the target inclined shaft are obtained. According to the method, the problem of cylindrical coordinate and ground rectangular coordinate exchange under the inclined shaft condition is solved, and meanwhile, a typical fracture-fracture sensitive attribute extraction technology in seismic exploration is used for reference, so that fracture-fracture fine characterization based on inclined shaft sound wave remote detection data is realized.

Description

Technical Field

[0001] The present invention relates to the field of oil exploration, and more particularly, to a method, apparatus, electronic device, and medium for characterizing fractures and cracks in inclined well acoustic waves. Background Art

[0002] Fractures and cracks in ultra-deep reservoirs in the Sichuan Basin and Tarim Basin have a very important impact on the fine characterization of reservoirs and the implementation of drilling operations. How to improve the accuracy of fracture and crack characterization has always been a major concern for geologists and drilling engineers.

[0003] Conventional logging projects have a shallow detection range outside the well, making it difficult to reflect the development of geological anomalies at a relatively long distance from the well. Acoustic far-detection technology can detect areas tens or even hundreds of meters outside the well, greatly enriching the research field and becoming an indispensable advanced technology in the oil and gas exploration industry. Acoustic far-detection logging can be mainly divided into monopole reflected longitudinal wave far-detection and dipole reflected shear wave far-detection. Among them, monopole reflected longitudinal wave far-detection is represented by Schlumberger, and dipole reflected shear wave is represented by Baker Hughes.

[0004] Currently, research on acoustic far-detection mainly focuses on noise reduction, weak signal extraction, migration imaging, etc. The interpretation of acoustic far-detection imaging results only stays at visually identifying the distance of reflectors from the well, and there is no quantitative analysis method for attributes in the sense of calculation.

[0005] There is a need to develop a method for characterizing fractures and cracks in inclined well acoustic waves.

[0006] The information disclosed in the background art section of the present invention is only intended to deepen the understanding of the general background art of the present invention, and should not be regarded as an admission or any form of suggestion that this information constitutes the prior art known to those skilled in the art. Summary of the Invention

[0007] The present invention provides a method, apparatus, electronic device, and medium for characterizing fractures and cracks in inclined well acoustic waves, which solves the problem of coordinate conversion between cylindrical coordinates and ground rectangular coordinates under inclined well conditions. At the same time, by referring to typical fracture and crack sensitive attribute extraction techniques in seismic exploration, fine characterization of fractures and cracks based on inclined well acoustic far-detection data is achieved.

[0008] In a first aspect, an embodiment of the present disclosure provides a method for characterizing fractures and cracks in inclined well acoustic waves, including:

[0009] Obtaining acoustic far-detection data and well trajectory parameters (well inclination angle and azimuth angle) of the target inclined well;

[0010] Obtaining acoustic far-detection data in cylindrical coordinates and converting it into a rectangular coordinate system;

[0011] Extract sensitive attributes from acoustic far - detection data based on a rectangular coordinate system to obtain multiple fracture - crack sensitive attributes;

[0012] Perform attribute fusion on multiple fracture - crack sensitive attributes to obtain a fracture - crack fusion attribute;

[0013] According to the fracture - crack fusion attribute, as well as the deviation angle and azimuth angle, obtain the well - bore - perimeter fracture - crack data of the target deviated well.

[0014] As a specific implementation manner of the embodiments of the present disclosure, the rectangular coordinate system is converted to:

[0015] C(x,y,z) = B(rcosφ,rsinφ,z)

[0016] where C(x,y,z) is the acoustic far - detection data in the rectangular coordinate system, and B(r,φ,z) is the acoustic far - detection data in cylindrical coordinates.

[0017] As a specific implementation manner of the embodiments of the present disclosure, the methods of the attribute fusion include PCA linear fusion method, KPCA linear fusion method, fuzzy - logic non - linear fusion method, and LLE non - linear fusion method.

[0018] As a specific implementation manner of the embodiments of the present disclosure, the well - bore - perimeter fracture - crack data of the target deviated well is:

[0019] F(x,y,z)=sin 2 α(E(x,y,z)cos 2 α + E(x,y,z)sin 2 β)+E(x,y,z)cos 2 α

[0020] where F(x,y,z) is the well - bore - perimeter fracture - crack data of the target deviated well, α is the deviation angle, and β is the azimuth angle.

[0021] In a second aspect, the embodiments of the present disclosure also provide a fracture - crack characterization device for acoustic waves in a deviated well, including:

[0022] A data acquisition module that acquires acoustic far - detection data and well - trajectory parameters of the target deviated well, namely the deviation angle and azimuth angle;

[0023] A coordinate conversion module that acquires the acoustic far - detection data in cylindrical coordinates and converts it into a rectangular coordinate system;

[0024] A sensitive attribute extraction module that extracts sensitive attributes based on the acoustic far - detection data in the rectangular coordinate system to obtain multiple fracture - crack sensitive attributes;

[0025] An attribute fusion module that performs attribute fusion on multiple fracture-crack sensitive attributes to obtain a fracture-crack fusion attribute;

[0026] A calculation module that obtains the wellbore fracture-crack data of the target deviated well according to the fracture-crack fusion attribute, the angle of inclination, and the azimuth angle.

[0027] As a specific implementation manner of the embodiments of the present disclosure, the rectangular coordinate system is converted to:

[0028] C(x,y,z) = B(rcosφ, rsinφ, z)

[0029] where C(x,y,z) is the acoustic far-detection data in the rectangular coordinate system, and B(r,φ,z) is the acoustic far-detection data in the cylindrical coordinate system.

[0030] As a specific implementation manner of the embodiments of the present disclosure, the methods of attribute fusion include PCA linear fusion method, KPCA linear fusion method, fuzzy logic non-linear fusion method, and LLE non-linear fusion method.

[0031] As a specific implementation manner of the embodiments of the present disclosure, the wellbore fracture-crack data of the target deviated well is:

[0032] F(x,y,z) = sin 2 α(E(x,y,z)cos 2 α + E(x,y,z)sin 2 β) + E(x,y,z)cos 2 α

[0033] where F(x,y,z) is the wellbore fracture-crack data of the target deviated well, α is the angle of inclination, and β is the azimuth angle.

[0034] In a third aspect, the embodiments of the present disclosure further provide an electronic device, which includes:

[0035] A memory that stores executable instructions;

[0036] A processor that runs the executable instructions in the memory to implement the fracture-crack characterization method of the acoustic wave of the deviated well.

[0037] In a fourth aspect, the embodiments of the present disclosure further provide a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, it implements the fracture-crack characterization method of the acoustic wave of the deviated well.

[0038] The beneficial effects are as follows:

[0039] The present invention draws on the typical fracture - crack sensitive attribute extraction technology in seismic exploration. Through the method of multi - attribute fusion, it improves the ability to characterize fractures and cracks around the wellbore based on acoustic far - detection. At the same time, it also solves the problem of coordinate conversion between cylindrical coordinates and ground rectangular coordinates under the condition of deviated wells. Through coordinate projection calculation, it can better adapt to the high - precision fractures and cracks around the deviated wellbore, and realizes the fine characterization of fractures and cracks based on the acoustic far - detection data of deviated wells. It has good application prospects in aspects such as ultra - deep well drilling and reservoir description.

[0040] The method and device of the present invention have other characteristics and advantages, which will be obvious from the accompanying drawings incorporated herein and the subsequent detailed description, or will be described in detail in the accompanying drawings incorporated herein and the subsequent detailed description. These accompanying drawings and detailed description are used together to explain the specific principles of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] By describing the exemplary embodiments of the present invention in more detail in conjunction with the accompanying drawings, the above - mentioned and other objects, features, and advantages of the present invention will become more obvious. Among them, in the exemplary embodiments of the present invention, the same reference numerals generally represent the same components.

[0042] Figure 1 FIG. shows a flowchart of the steps of a method for characterizing fractures and cracks of acoustic waves in a deviated well according to an embodiment of the present invention.

[0043] Figure 2 FIG. shows a block diagram of a device for characterizing fractures and cracks of acoustic waves in a deviated well according to an embodiment of the present invention.

[0044] DESCRIPTION OF REFERENCE NUMERALS:

[0045] 201, data acquisition module; 202, coordinate conversion module; 203, sensitive attribute extraction module; 204, attribute fusion module; 205, calculation module. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0046] The preferred embodiments of the present invention will be described in more detail below. Although the preferred embodiments of the present invention are described below, it should be understood that the present invention can be implemented in various forms and should not be limited by the embodiments set forth herein.

[0047] To facilitate understanding of the solutions and effects of the embodiments of the present invention, six specific application examples are given below. Those skilled in the art should understand that this example is only for facilitating the understanding of the present invention, and any specific details are not intended to limit the present invention in any way.

[0048] Example 1

[0049] Figure 1The flowchart shows the steps of the fracture - crack characterization method for deviated - well acoustic waves according to an embodiment of the present invention.

[0050] As Figure 1 shown, the fracture - crack characterization method for deviated - well acoustic waves includes: Step 101, obtaining acoustic - wave long - offset data and the well - trajectory parameters of the target deviated well, namely the well - inclination angle and the azimuth angle; Step 102, obtaining the acoustic - wave long - offset data in cylindrical coordinates and converting it into a rectangular coordinate system; Step 103, extracting sensitive attributes based on the acoustic - wave long - offset data in the rectangular coordinate system to obtain multiple fracture - crack sensitive attributes; Step 104, performing attribute fusion on the multiple fracture - crack sensitive attributes to obtain a fracture - crack fusion attribute; Step 105, obtaining the well -bore - perimeter fracture - crack data of the target deviated well according to the fracture - crack fusion attribute and the well - inclination angle and the azimuth angle.

[0051] In one example, the conversion of the rectangular coordinate system is:

[0052] C(x,y,z) = B(rcosφ,rsinφ,z)

[0053] where C(x,y,z) is the acoustic - wave long - offset data in the rectangular coordinate system, and B(r,φ,z) is the acoustic - wave long - offset data in cylindrical coordinates.

[0054] In one example, the methods of attribute fusion include the PCA linear fusion method, the KPCA linear fusion method, the fuzzy - logic non - linear fusion method, and the LLE non - linear fusion method.

[0055] In one example, the well -bore - perimeter fracture - crack data of the target deviated well is:

[0056] F(x,y,z) = sin 2 α(E(x,y,z)cos 2 α + E(x,y,z)sin 2 β) + E(x,y,z)cos 2 α

[0057] where F(x,y,z) is the well -bore - perimeter fracture - crack data of the target deviated well, α is the well - inclination angle, and β is the azimuth angle.

[0058] Specifically, collect the acoustic - wave long - offset data A(r,φ,z), and collect the well - trajectory parameters of the target deviated well, namely the well - inclination angle α and the azimuth angle β.

[0059] Carry out the processing of the acoustic - wave long - offset data to obtain the seismic stack record B(r,φ,z) of the acoustic - wave long - offset data in cylindrical coordinates.

[0060] Convert the acoustic - wave long - offset data based on the cylindrical coordinate system to the ground rectangular coordinate system, which is convenient for geologists and engineers to understand and is used for joint interpretation and analysis with conventional ground 3D seismic data.

[0061] Convert the cylindrical coordinate system to the rectangular coordinate system:

[0062] C(x, y, z) = B(r cos φ, r sin φ, z).

[0063] Drawing on the typical fracture - crack sensitive attribute extraction technology in seismic exploration, extract the fracture - crack sensitive attribute set D(x, y, z) = {D1(x, y, z), D2(x, y, z), …, Dn(x, y, z)} based on the acoustic far - detection data.

[0064] Multi - attribute fusion based on the fracture - crack sensitive attributes of acoustic far - detection. Using linear fusion methods such as PCA and KPCA or non - linear fusion methods such as fuzzy logic and LLE, with the fracture - crack sensitive attribute set D(x, y, z) = {D1(x, y, z), D2(x, y, z), …, Dn(x, y, z)} as the input, through multi - attribute fusion, obtain the multi - scale fracture - crack fusion attribute E(x, y, z) that can simultaneously characterize features such as different scales and orientations.

[0065] Considering the influence of well deviation, the actually observed acoustic far - detection data A(r, φ, z) takes the well trajectory as the reference coordinate, while ground seismic is strictly with the vertical direction as the Z coordinate. Therefore, in order to eliminate the influence of well deviation and improve the characterization accuracy, through projection conversion, obtain the final result data that can characterize the fractures and cracks around the well:

[0066] F(x, y, z) = sin 2 α(E(x, y, z) cos 2 α + E(x, y, z) sin 2 β) + E(x, y, z) cos 2 α.

[0067] This method addresses the difficulties in interpreting inclined well acoustic far-detection data and proposes a fracture-crack characterization method based on inclined well acoustic far-detection data. This invention draws on typical fracture-crack sensitive attribute extraction techniques in seismic exploration and improves the ability to characterize fractures and cracks around the well based on acoustic far-detection through a multi-attribute fusion method. At the same time, this method also solves the problem of coordinate conversion between cylindrical coordinates and ground rectangular coordinates under inclined well conditions. Through coordinate projection calculation, this method can better adapt to high-precision fractures and cracks around the inclined well, achieving fine characterization of fractures and cracks based on inclined well acoustic far-detection data. The main implementation process has 4 core steps: ① Through coordinate conversion and projection, convert the interpretation result data of inclined well acoustic far-detection from cylindrical coordinates to ground coordinates; ② Based on acoustic far-detection data, draw on seismic exploration attribute extraction techniques to extract an attribute set that can reflect the development characteristics of fractures and cracks; ③ Based on linear or non-linear multi-attribute fusion methods, achieve high-precision multi-scale joint characterization of fractures and cracks based on inclined well acoustic far-detection data.

[0068] Example 2

[0069] This invention also provides a fracture-crack characterization device for inclined well acoustic waves, including:

[0070] A data acquisition module that acquires acoustic far-detection data and the well deviation angle and azimuth angle of the target inclined well well trajectory parameters;

[0071] A coordinate conversion module that acquires acoustic far-detection data in cylindrical coordinates and converts it to a rectangular coordinate system;

[0072] A sensitive attribute extraction module that extracts sensitive attributes based on acoustic far-detection data in the rectangular coordinate system to obtain multiple fracture-crack sensitive attributes;

[0073] An attribute fusion module that performs attribute fusion on multiple fracture-crack sensitive attributes to obtain a fracture fusion attribute;

[0074] A calculation module that obtains fracture-crack data around the target inclined well based on the fracture fusion attribute and the well deviation angle and azimuth angle.

[0075] In an example, the conversion of the rectangular coordinate system is:

[0076] C(x,y,z) = B(rcosφ, rsinφ, z)

[0077] where C(x,y,z) is the acoustic far-detection data in the rectangular coordinate system, and B(r,φ,z) is the acoustic far-detection data in cylindrical coordinates.

[0078] In one example, the methods for attribute fusion include PCA linear fusion method, KPCA linear fusion method, fuzzy logic non-linear fusion method, and LLE non-linear fusion method.

[0079] In one example, the fracture-fracture data around the wellbore of the target deviated well are as follows:

[0080] F(x, y, z) = sin 2 α(E(x, y, z)cos 2 α + E(x, y, z)sin 2 β) + E(x, y, z)cos 2 α

[0081] Where F(x, y, z) is the fracture-fracture data around the wellbore of the target deviated well, α is the deviation angle, and β is the azimuth angle.

[0082] Specifically, collect acoustic far-detection data A(r, φ, z), and collect the well deviation angle α and azimuth angle β of the target deviated well well trajectory parameters.

[0083] Carry out the processing of acoustic far-detection data to obtain the acoustic far-detection seismic stack record B(r, φ, z) in cylindrical coordinates.

[0084] Convert the acoustic far-detection data based on the cylindrical coordinate system to the ground rectangular coordinate system for the convenience of geologists and engineers to understand, and conduct joint interpretation and analysis with conventional ground three-dimensional seismic data.

[0085] Convert the cylindrical coordinate system to the rectangular coordinate system:

[0086] C(x, y, z) = B(r cos φ, r sin φ, z).

[0087] Draw on the typical fracture-fracture sensitive attribute extraction technology in seismic exploration, and extract the fracture-fracture sensitive attribute set D(x, y, z) = {D1(x, y, z), D2(x, y, z),..., Dn(x, y, z)} based on the acoustic far-detection data.

[0088] Multi-attribute fusion based on acoustic far-detection fracture-fracture sensitive attributes. Use linear fusion methods such as PCA and KPCA or non-linear fusion methods such as fuzzy logic and LLE. With the fracture-fracture sensitive attribute set D(x, y, z) = {D1(x, y, z), D2(x, y, z),..., Dn(x, y, z)} as the input, through multi-attribute fusion, obtain the multi-scale fracture-fracture fusion attribute E(x, y, z) that can simultaneously characterize features such as different scales and azimuths.

[0089] Considering the influence of well deviation, the actually observed acoustic far-detection data A(r, φ, z) uses the well trajectory as the reference coordinate, while the surface seismic data strictly takes the vertical direction as the Z coordinate. Therefore, in order to eliminate the influence of well deviation and improve the characterization accuracy, through projection conversion, the final result data that can characterize the fractures around the well is obtained:

[0090] F(x, y, z) = sin 2 α(E(x, y, z)cos 2 α + E(x, y, z)sin 2 β) + E(x, y, z)cos 2 α.

[0091] Example 3

[0092] Step 1: Collect the acoustic far-detection data A(r, φ, z).

[0093] Step 2: Collect the well trajectory parameters of the target deviated well, namely the well deviation angle α and the azimuth angle β.

[0094] Step 3: Process the acoustic far-detection data to obtain the acoustic far-detection seismic stack record B(r, φ, z) in cylindrical coordinates.

[0095] Step 4: Convert the acoustic far-detection data based on the cylindrical coordinate system to the ground rectangular coordinate system, which is convenient for geologists and engineers to understand and conduct joint interpretation and analysis with conventional ground three-dimensional seismic data.

[0096] Convert the cylindrical coordinate system to the rectangular coordinate system: C(x, y, z) = B(r cos φ, r sin φ, z).

[0097] Step 5: Draw on the typical fracture-crack sensitive attribute extraction technology in seismic exploration, and extract the fracture-crack sensitive attribute set D(x, y, z) = {D1(x, y, z), D2(x, y, z), …, Dn(x, y, z)} based on the acoustic far-detection data. Suppose D1(x, y, z) is the curvature attribute, D2(x, y, z) is the tensor attribute, D3(x, y, z) is the coherence attribute, etc.

[0098] Step 6: Multi-attribute fusion based on the acoustic far-detection fracture-crack sensitive attributes. Adopt linear fusion methods such as PCA and KPCA or non-linear fusion methods such as fuzzy logic and LLE. Using the fracture-crack sensitive attribute set D(x, y, z) = {D1(x, y, z), D2(x, y, z), …, Dn(x, y, z)} as the input, through multi-attribute fusion, obtain the multi-scale fracture-crack fusion attribute E(x, y, z) that can simultaneously characterize features such as different scales and azimuths.

[0099] Step 7: Considering the influence of well deviation, the actually observed acoustic far-detection data A(r, φ, z) uses the well trajectory as the reference coordinate, while the surface seismic strictly uses the vertical direction as the Z coordinate. Therefore, in order to eliminate the influence of well deviation and improve the characterization accuracy, through projection conversion, the final result data that can characterize the fractures and fissures around the well is obtained:

[0100] F(x, y, z) = sin 2 α (E(x, y, z) cos 2 α + E(x, y, z) sin 2 β) + E(x, y, z) cos 2 α.

[0101] Example 4

[0102] Figure 2 The block diagram of a fracture and fissure characterization device for deviated well acoustic waves according to an embodiment of the present invention is shown.

[0103] As Figure 2 shown, the fracture and fissure characterization device for deviated well acoustic waves includes:

[0104] A data acquisition module 201, which acquires acoustic far-detection data and the well deviation angle and azimuth angle of the target deviated well well trajectory parameters;

[0105] A coordinate conversion module 202, which acquires the acoustic far-detection data in cylindrical coordinates and converts it into a rectangular coordinate system;

[0106] A sensitive attribute extraction module 203, which extracts sensitive attributes based on the acoustic far-detection data in the rectangular coordinate system to obtain multiple fracture and fissure sensitive attributes;

[0107] An attribute fusion module 204, which performs attribute fusion on multiple fracture and fissure sensitive attributes to obtain a fracture fusion attribute;

[0108] A calculation module 205, which acquires the fracture and fissure data around the well of the target deviated well according to the fracture fusion attribute and the deviation angle and azimuth angle.

[0109] As an optional solution, the conversion of the rectangular coordinate system is:

[0110] C(x, y, z) = B(r cos φ, r sin φ, z)

[0111] where C(x, y, z) is the acoustic far-detection data in the rectangular coordinate system, and B(r, φ, z) is the acoustic far-detection data in cylindrical coordinates.

[0112] As an alternative, the methods for attribute fusion include the PCA linear fusion method, the KPCA linear fusion method, the fuzzy logic non-linear fusion method, and the LLE non-linear fusion method.

[0113] As an alternative, the fracture - crack data around the wellbore of the target inclined well are as follows:

[0114] F(x, y, z) = sin 2 α(E(x, y, z)cos 2 α + E(x, y, z)sin 2 β) + E(x, y, z)cos 2 α

[0115] where F(x, y, z) is the fracture - crack data around the wellbore of the target inclined well, α is the inclination angle, and β is the azimuth angle.

[0116] Example 5

[0117] This embodiment provides an electronic device, which includes: a memory storing executable instructions; a processor that runs the executable instructions in the memory to implement the above - mentioned fracture - crack characterization method for inclined well acoustic waves.

[0118] The electronic device according to the embodiment of the present disclosure includes a memory and a processor.

[0119] The memory is used to store non - transient computer - readable instructions. Specifically, the memory may include one or more computer program products, and the computer program products may include various forms of computer - readable storage media, such as volatile memory and / or non - volatile memory. The volatile memory may include, for example, random access memory (RAM) and / or cache memory, etc. The non - volatile memory may include, for example, read - only memory (ROM), hard disk, flash memory, etc.

[0120] The processor may be a central processing unit (CPU) or other forms of processing units with data - processing capabilities and / or instruction - execution capabilities, and may control other components in the electronic device to perform desired functions. In an embodiment of the present disclosure, the processor is used to run the computer - readable instructions stored in the memory.

[0121] Those skilled in the art should understand that, in order to solve the technical problem of how to obtain good user experience effects, this embodiment may also include well - known structures such as communication buses, interfaces, etc., and these well - known structures should also be included in the protection scope of the present disclosure.

[0122] For the detailed description of this embodiment, reference may be made to the corresponding descriptions in the foregoing embodiments, and details will not be repeated here.

[0123] Example 6

[0124] This embodiment provides a computer-readable storage medium storing a computer program, which when executed by a processor implements the method for fracture-crack characterization of inclined well acoustic waves described above.

[0125] The computer-readable storage medium according to an embodiment of the present disclosure stores non-transitory computer-readable instructions. When the non-transitory computer-readable instructions are run by a processor, all or part of the steps of the methods of the various embodiments of the present disclosure described above are executed.

[0126] The above-mentioned computer-readable storage medium includes but is not limited to: optical storage media (such as CD-ROMs and DVDs), magneto-optical storage media (such as MOs), magnetic storage media (such as magnetic tapes or external hard drives), media with built-in rewritable non-volatile memories (such as memory cards), and media with built-in ROMs (such as ROM cartridges).

[0127] Those skilled in the art should understand that the purpose of the above description of the embodiments of the present invention is only to exemplarily illustrate the beneficial effects of the embodiments of the present invention, and is not intended to limit the embodiments of the present invention to any of the examples given.

[0128] The various embodiments of the present invention have been described above. The above description is exemplary and not exhaustive, and is also not limited to the disclosed embodiments. Many modifications and variations will be obvious to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments.

Claims

1. A method for fracture - crack characterization of inclined - well acoustic waves, characterized in that, it includes: Obtain acoustic - wave long - offset data and the well - trajectory parameters of the target inclined well, namely the well - deviation angle and azimuth angle; Obtain the acoustic - wave long - offset data in cylindrical coordinates and convert it to a rectangular coordinate system; Extract sensitive attributes based on the acoustic - wave long - offset data in the rectangular coordinate system to obtain multiple fracture - crack sensitive attributes; Perform attribute fusion on the multiple fracture - crack sensitive attributes to obtain a fracture - crack fusion attribute; According to the fracture - crack fusion attribute, as well as the well - deviation angle and azimuth angle, obtain the well -bore - perimeter fracture - crack data of the target inclined well.

2. The method for fracture - crack characterization of inclined - well acoustic waves according to claim 1, wherein, The conversion to the rectangular coordinate system is: C(x,y,z) = B(rcosφ, rsinφ, z) where C(x,y,z) is the acoustic - wave long - offset data in the rectangular coordinate system, and B(r,φ,z) is the acoustic - wave long - offset data in cylindrical coordinates.

3. The method for fracture - crack characterization of inclined - well acoustic waves according to claim 1, wherein, The methods for attribute fusion include PCA linear fusion method, KPCA linear fusion method, fuzzy - logic non - linear fusion method, and LLE non - linear fusion method.

4. The method for fracture - crack characterization of inclined - well acoustic waves according to claim 1, wherein, The well -bore - perimeter fracture - crack data of the target inclined well is: F(x,y,z) = sin 2 α(E(x,y,z)cos 2 α + E(x,y,z)sin 2 β) + E(x,y,z)cos 2 α where F(x,y,z) is the well -bore - perimeter fracture - crack data of the target inclined well, α is the well - deviation angle, and β is the azimuth angle.

5. An apparatus for fracture - crack characterization of inclined - well acoustic waves, characterized in that, it includes: A data acquisition module, which acquires acoustic - wave long - offset data and the well - trajectory parameters of the target inclined well, namely the well - deviation angle and azimuth angle; A coordinate conversion module, which acquires the acoustic - wave long - offset data in cylindrical coordinates and converts it to a rectangular coordinate system; A sensitive - attribute extraction module, which extracts sensitive attributes based on the acoustic - wave long - offset data in the rectangular coordinate system to obtain multiple fracture - crack sensitive attributes; An attribute - fusion module, which performs attribute fusion on the multiple fracture - crack sensitive attributes to obtain a fracture - crack fusion attribute; A calculation module, which according to the fracture - crack fusion attribute, as well as the well - deviation angle and azimuth angle, obtains the well -bore - perimeter fracture - crack data of the target inclined well.

6. The apparatus for fracture - crack characterization of inclined - well acoustic waves according to claim 5, wherein, The conversion to the rectangular coordinate system is: C(x,y,z) = B(rcosφ, rsinφ, z) where C(x,y,z) is the acoustic - wave long - offset data in the rectangular coordinate system, and B(r,φ,z) is the acoustic - wave long - offset data in cylindrical coordinates.

7. The apparatus for fracture - crack characterization of inclined - well acoustic waves according to claim 5, wherein, The methods for attribute fusion include PCA linear fusion method, KPCA linear fusion method, fuzzy - logic non - linear fusion method, and LLE non - linear fusion method.

8. The apparatus for fracture - crack characterization of inclined - well acoustic waves according to claim 5, wherein, The well -bore - perimeter fracture - crack data of the target inclined well is: F(x,y,z) = sin 2 α(E(x,y,z)cos 2 α + E(x,y,z)sin 2 β) + E(x,y,z)cos 2 α where F(x,y,z) is the well -bore - perimeter fracture - crack data of the target inclined well, α is the well - deviation angle, and β is the azimuth angle.

9. An electronic device, characterized in that, the electronic device includes: A memory that stores executable instructions; A processor that runs the executable instructions in the memory to implement the fracture-crack characterization method of the deviated well acoustic wave according to any one of claims 1-4.

10. A computer-readable storage medium, characterized in that, the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, it implements the fracture-crack characterization method of the deviated well acoustic wave according to any one of claims 1-4.

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