Azimuth transverse wave remote detection data processing method, system, equipment and medium

Abstract

The invention provides an azimuth transverse wave remote detection data processing method, system and device and a medium. The method comprises the steps that an instrument is adopted to collect novel four-component transverse wave data (xx, xy, yx and yy) of a target well section; under a coordinate system (x, y) of the instrument, synthesizing an XX reflected wave signal with an angle defined relative to the x-axis direction of the instrument by using the orthogonal dipole four-component reflected signal, and defining the XX reflected wave signal as an angle when the reflected wave signal reaches the maximum amplitude; obtaining two cross component signals xy and yx by using novel four-component shear wave data (xx, xy, yx and yy), performing sliding windowing on the cross component signals xy and yx, performing Fourier transform on the signals in the window to obtain phase spectrums, and comparing the phase spectrums of the two cross component signals to obtain an actual phase difference; according to a novel four-component data combination mode, changing the orientation of the reflector, theoretically calculating the theoretical phase difference between the two cross component signals xy and yx, and establishing a rule chart of the cross component signals along with the orientation change of the reflector outside the well based on the theoretical phase difference; and judging the real azimuth angle of the reflector according to the rule plate.

Description

Technical Field

[0001] This invention belongs to the field of applied geophysical acoustic logging, specifically relating to a method, system, equipment, and medium for processing azimuth shear wave remote sensing data. Background Technology

[0002] With the development of deep oil and gas exploration, the importance of oil and gas detection in deep wells is increasing. Deep oil and gas structures are hidden and difficult to detect. Traditional logging techniques have limited detection range and cannot accurately detect fracture-vuggy reflectors tens of meters outside the well. Sonic long-range detection technology can extend the logging detection range to tens or even hundreds of meters outside the well, greatly improving the ability to detect hidden oil and gas reservoirs near the well. It has become an effective tool for oil and gas exploration and development and has broad application prospects.

[0003] Currently, the existing related technologies mainly use the dipole shear wave remote detection method, which determines the orientation of the reflector by collecting four-component data and rotating the coordinates. However, the inherent symmetrical radiation characteristics of the dipole sound source lead to the 180° azimuth ambiguity problem in the reflector imaging, which cannot further determine the orientation or dip of the reflector, and is not conducive to further guiding directional drilling and reservoir fracturing. In order to uniquely determine the orientation of the reflector, Tang.XM first pointed out in 2004 that the data obtained by using the dipole emission-monopolar reception hybrid measurement mode contains the orientation information of the reflector. Based on this measurement mode, Li et al. proposed a new measurement mode that combines data received from different orientations on the well instrument to solve the problem of locating the reflector in acoustic remote detection. However, its acquisition method is complicated and inefficient. Summary of the Invention

[0004] To address the problems existing in the prior art, the present invention provides a method, system, device and medium for processing azimuth shear wave remote sensing data, in order to solve at least one technical problem in the prior art that the acquisition method is complex, the acquisition efficiency is low and the target reflector orientation cannot be accurately identified.

[0005] This invention is achieved through the following technical solution:

[0006] A method for processing azimuth shear wave long-range sounding data includes the following steps:

[0007] A novel four-component shear wave data (xx,xy,yx,yy) was acquired using instruments to collect data from the target well section.

[0008] In the instrument's coordinate system (x,y), Defined as the angle relative to the instrument's x-axis direction, synthesized using orthogonal dipole four-component reflected signals. XX reflected wave signal and define In order to make The angle at which the reflected wave signal reaches its maximum amplitude;

[0009] Two cross-component signals xy and yx are obtained using novel four-component shear wave data (xx,xy,yx,yy). These signals are then windowed and Fourier transformed to obtain the phase spectrum. The actual phase difference is obtained by comparing the two phase spectra.

[0010] According to the new four-component data combination mode, the theoretical phase difference between the two cross component signals xy and yx is theoretically calculated by changing the orientation of the reflector, and a pattern of its variation with the orientation of the external reflector is established based on the theoretical phase difference.

[0011] Determine the true azimuth of the reflector based on the pattern diagram. If the difference between the actual phase and the actual phase conforms to the pattern shown in the theoretical chart, then... The true azimuth of the reflector; otherwise, the true azimuth is

[0012] Furthermore, the synthesized reflected wave signal Angle at its maximum value The orientation of the reflector is determined.

[0013] Furthermore, the synthesized reflected wave signal The angle at which the value is maximized is

[0014]

[0015] Furthermore, the synthesis of orthogonal dipole four-component reflected signals... XX reflected wave signal The process is as follows:

[0016]

[0017] Furthermore, the two cross-component signals xy and yx are obtained using the four-component reflection imaging data, and their waveforms are then windowed.

[0018] Furthermore, the theoretical process of calculating the phase difference between the two cross-component signals xy and yx is as follows:

[0019] Based on the theory of interaction between elastic waves and wellbore, the virtual source method, the cylindrical wave expansion method of spherical waves and the steepest descent method are used to analyze and calculate the azimuth received waveform of dipole shear waves in fluid-filled wellbore. The theoretical cross component is obtained according to the new four-component data combination mode, and the phase difference between the two is calculated by sliding windowing.

[0020] Furthermore, the novel four-component data combination mode is as follows:

[0021]

[0022] A shear wave remote sensing data processing system includes:

[0023] The data acquisition module is configured as follows:

[0024] A novel four-component shear wave data (xx,xy,yx,yy) was acquired using instruments to collect data from the target well section.

[0025] The defined module is configured as follows:

[0026] In the instrument's coordinate system (x,y), Defined as the angle relative to the instrument's x-axis direction, synthesized using orthogonal dipole four-component reflected signals. XX reflected wave signal and define In order to make The angle at which the reflected wave signal reaches its maximum amplitude;

[0027] The preprocessing module is configured as follows:

[0028] Two cross-component signals xy and yx are obtained using novel four-component shear wave data (xx,xy,yx,yy). These signals are then windowed and Fourier transformed to obtain the phase spectrum. The actual phase difference is obtained by comparing the two phase spectra.

[0029] The image creation module is configured as follows:

[0030] According to the new four-component data combination mode, the theoretical phase difference between the two cross component signals xy and yx is theoretically calculated by changing the orientation of the reflector, and a pattern of its variation with the orientation of the external reflector is established based on the phase difference.

[0031] The output module is configured as follows:

[0032] Determine the true azimuth of the reflector based on the pattern diagram. If the difference between the actual phase and the actual phase conforms to the pattern shown in the theoretical chart, then... The true azimuth of the reflector; otherwise, the true azimuth is

[0033] A computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the azimuth shear wave remote sensing data processing method described above.

[0034] A computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the azimuth shear wave remote sensing data processing method described above.

[0035] Compared with the prior art, the present invention has the following beneficial technical effects:

[0036] This invention provides a method, system, device, and medium for processing azimuth shear wave long-range detection data, including the following steps: acquiring novel four-component shear wave data (xx, xy, yx, yy) of the target well section using an instrument; and processing the data in the instrument's coordinate system (x, y). Defined as the angle relative to the instrument's x-axis direction, synthesized using orthogonal dipole four-component reflected signals. XX reflected wave signal and define In order to make The angle at which the reflected wave signal reaches its maximum amplitude; using the novel four-component shear wave data (xx,xy,yx,yy), two cross-component signals xy and yx are obtained, and a sliding window is opened for them. Fourier transforms are performed on the signals within the window to obtain the phase spectrum, and the actual phase difference is obtained by comparing the two phase spectra; according to the novel four-component data combination mode, the theoretical phase difference between the two cross-component signals xy and yx is theoretically calculated by changing the reflector's azimuth, and a pattern chart is established based on the theoretical phase difference as it changes with the azimuth of the external reflector; the true azimuth angle of the reflector is determined based on the pattern chart. If the difference between the actual phase and the actual phase conforms to the pattern shown in the theoretical chart, then... The true azimuth of the reflector; otherwise, the true azimuth is This application reduces the number of receiving transducers required by half compared to existing azimuth remote sensing instruments, achieves high receiving consistency, provides stable and reliable measurement data, and reduces the amount of measurement data by half compared to existing instruments, thus significantly improving well-to-surface data transmission efficiency, saving data acquisition costs, and increasing logging efficiency. Furthermore, this application inherits the conventional dipole shear wave remote sensing four-component coordinate rotation method, using mathematical rotation instead of physical rotation to effectively identify the orientation of the target reflector. Moreover, this application effectively solves the problem of multiple solutions in reflector imaging azimuth in dipole shear wave remote sensing, truly realizing three-dimensional detection of well-side structures. Attached Figure Description

[0037] Figure 1 A flowchart of a method for processing azimuth shear wave remote sensing data according to an embodiment of the present disclosure is shown;

[0038] Figure 2 A flowchart of a method for processing azimuth shear wave remote sensing data according to an embodiment of the present disclosure is shown.

[0039] Figure 3 This invention discloses a novel four-component waveform data variation density map acquired by a dipole shear wave azimuth long-range detection instrument according to an embodiment of the present disclosure.

[0040] Figure 4(a) shows a four-directional imaging diagram of novel four-component waveform data acquired by a dipole shear wave azimuth remote sensing instrument according to an embodiment of the present disclosure;

[0041] Figure 4(b) shows the azimuth distribution of the signal amplitude obtained from the measured four-component reflection waveform data of the present disclosure according to an embodiment of the present disclosure;

[0042] Figure 5(a) shows a comparison of the four-component dipole transverse wave waveforms calculated theoretically according to embodiments of the present disclosure when the reflector is located at 120° azimuth and 300° azimuth, respectively.

[0043] Figure 5(b) shows a comparison of the cross component waveforms and their phase difference when the reflector is located at a 120° azimuth according to the theoretical calculations of the embodiments of this disclosure;

[0044] Figure 5(c) shows a comparison of the cross component waveforms and their phase difference when the reflector is located at a 300° azimuth, based on theoretical calculations of embodiments of the present disclosure.

[0045] Figure 6(a) shows a two-dimensional distribution of the phase difference in the imaging range for azimuth detection of off-well geological bodies according to an embodiment of the present disclosure;

[0046] Figure 6(b) shows the azimuth distribution frequency of the phase difference data of the cross component of the processed well section according to an embodiment of the present disclosure;

[0047] Figure 6(c) shows a theoretical diagram of the phase difference between the cross component signals xy and yx as a function of the reflector orientation, calculated according to an embodiment of the present disclosure. Detailed Implementation

[0048] The present invention will be further described in detail below with reference to specific embodiments. These descriptions are for explanation purposes only and are not intended to limit the scope of the invention.

[0049] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0050] It should be noted that the terms "actual," "theoretical," etc., used in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0051] This embodiment discloses a method for processing azimuth shear wave long-range detection data, such as... Figure 1 As shown, it includes the following steps:

[0052] A novel four-component shear wave data (xx,xy,yx,yy) was acquired using instruments to collect data from the target well section.

[0053] In the instrument's coordinate system (x,y), Defined as the angle relative to the instrument's x-axis direction, synthesized using orthogonal dipole four-component reflected signals. XX reflected wave signal and define In order to make The angle at which the reflected wave signal reaches its maximum amplitude;

[0054] Two cross-component signals xy and yx are obtained using novel four-component shear wave data (xx,xy,yx,yy). These signals are then windowed and Fourier transformed to obtain the phase spectrum. The actual phase difference is obtained by comparing the two phase spectra.

[0055] According to the new four-component data combination mode, the theoretical phase difference between the two cross component signals xy and yx is theoretically calculated by changing the orientation of the reflector, and a pattern of its variation with the orientation of the external reflector is established based on the phase difference.

[0056] Determine the true azimuth of the reflector based on the pattern diagram. If the difference between the actual phase and the actual phase conforms to the pattern shown in the theoretical chart, then... The true azimuth of the reflector; otherwise, the true azimuth is

[0057] Preferably, in the embodiments of this disclosure, the synthesized reflected wave signal Angle at its maximum value The orientation of the reflector is determined.

[0058] Preferably, in the embodiments of this disclosure, the synthesized reflected wave signal Angle at its maximum value There is a 180° uncertainty, that is...

[0059] Preferably, in the embodiments of this disclosure, the synthesis of orthogonal dipole four-component reflection signals is performed. XX reflected wave signal The process is as follows:

[0060]

[0061] Preferably, in this embodiment of the present disclosure, the two cross-component signals xy and yx are obtained using four-component reflection imaging data, and their waveforms are then windowed.

[0062] Preferably, in this embodiment of the disclosure, the process of theoretically calculating the theoretical phase difference between the two cross component signals xy and yx is as follows:

[0063] Based on the theory of interaction between elastic waves and wellbore, the virtual source method, the cylindrical wave expansion method of spherical waves and the steepest descent method are used to analyze and calculate the azimuth received waveform of dipole shear waves in fluid-filled wellbore. The theoretical cross component is obtained according to the new four-component data combination mode, and the phase difference between the two is calculated by sliding windowing.

[0064] Preferably, in this embodiment of the disclosure, the novel four-component data combination mode is as follows:

[0065]

[0066] Specifically, the novel four-component data combination mode is an existing technology. For details, please refer to CN202210355648.5, "An acoustic logging method and device for accurately detecting external geological structures based on orthogonal dipole four-component measurement".

[0067] Figure 2 Another embodiment of the present invention is disclosed as follows:

[0068] A novel four-component dipole acoustic logging instrument was used to acquire four-component shear wave data (xx, xy, yx, yy) for the well section of interest. Figure 3 As shown, specifically, the novel four-component dipole acoustic logging instrument refers to the equipment used in Chinese Patent CN202210355648.5, "An Acoustic Logging Method and Device for Precise Detection of External Geological Structures Based on Orthogonal Dipole Four-Component Measurement".

[0069] In the instrument coordinate system (x, y), at an angle relative to the instrument x-axis As variables, it consists of four components of external well reflection imaging data. Synthetic XX data transmitted and received:

[0070]

[0071] A four-component rotation is performed according to this formula, and Figure 4(a) shows the application of this method. Figure 3 The four-component data were imaged using the steps described above, obtaining imaging data at 45° azimuth intervals from north to south (i.e., NS, NE, EW, SE). The figure shows several reflector structures within a 35m radius around the well. Taking the reflector in the dashed ellipse at the SE azimuth as an example, the reflector has a stronger amplitude at the SE and NS azimuths, indicating that its true orientation lies between these two azimuths. The polar coordinate plot in Figure 4(b) gives the normalized amplitude. With rotation angle The curve shows the variation of the reflector. The figure shows that the curve reaches its maximum value when the rotation angle is E70°S and W70°N, and the line connecting E70°S and W70°N indicates the orientation of the reflector. However, the orientation of the reflector at this point is ambiguous, meaning it could be either E20°N or W20°S.

[0072] Using the four-component reflection data of a new instrument, two cross-component imaging data, xy and yx, are synthesized by sliding a window along a radial distance. The Fourier transform of the data within the window is used to obtain the phase spectrum, and the difference between the two is compared to obtain the phase difference. This phase difference is then used to... Figure 2 The phase difference distribution in the imaging interval is shown in Figure 6(a) obtained by plotting the well section. The phase in the elliptical region in Figure 6(a) (corresponding to the reflector in the ellipse in Figure 4(a)) is negative, indicating that xy lags behind yx. Based on the azimuth of the instrument in the well section, i.e. the direction of the x or y pole, the azimuth distribution frequency map of the xy and yx phase difference data is plotted, as shown in Figure 6(b). It can be seen that the phase lag interval is mostly distributed between due west and southwest.

[0073] According to the new four-component data combination mode, the phase difference between the two cross-component signals xy and yx was theoretically calculated, and a pattern of their variation with the azimuth of the external reflector was established. Theoretical acoustic field analysis was performed using a new dipole shear wave azimuth long-range detection model and a comparative model. The waveform calculation results are shown in Figure 5(a). Figure 5(a) shows that the four-component waveforms differ when the reflector azimuth is 120° and 300°, indicating that for two reflectors with opposite azimuths, the data acquired using the new four-component mode includes the reflector's azimuth information. Figures 5(b) and 5(c) further compare the cross-component waveforms in Figure 5(a). The figures show that when the reflector azimuth is 120°, the xy component leads the yx component, with a positive phase difference; while when the reflector azimuth is 300°, the xy component lags behind the yx component, with a negative phase difference. The results indicate that the phase difference between the cross-components xy and yx acquired according to the new model is sensitive to the reflector's azimuth, and therefore can be used to solve the 180° azimuth uncertainty problem. Based on this, the variation of the phase difference between signals xy and yx was simulated when the instrument was fixed in the well and the reflector's azimuth changed from 0° to 360°. The results are shown in Figure 6(c), with other parameters the same as in Figure 4(a). In the figure, hollow circles indicate that signal xy leads yx, and solid circles indicate that signal yx leads xy. The circumferential coordinates represent the reflector's azimuth, and the radial scale represents the magnitude of the phase difference between xy and yx, in radians.

[0074] Based on the theoretical simulation chart, the true azimuth angle of the reflector's inclination was determined. As shown in Figure 6(b), the calculated azimuth of the phase difference between xy and yx is mainly distributed in the west and southwest quadrants, while the four-component rotation result in Figure 4(b) shows that W20°S is one of the two obtainable solutions for the reflector's inclination. The theoretical chart for this reflector is shown in Figure 6(c), which displays the xy and yx phase difference values ​​corresponding to the reflector's inclination azimuth, where hollow circles indicate leading and solid circles indicate lagging. Within the quadrant of the phase difference distribution shown in Figure 6(b), the phase difference shown by the theoretical template is negative, which is the same sign as the phase difference calculated from the actual data, indicating that W20°S (not E20°N) is the true azimuth angle of the reflector's inclination. The result compared with the theoretical template eliminates the aforementioned 180° azimuth uncertainty in the four-component rotation azimuth.

[0075] This invention discloses an azimuth shear wave long-range detection data processing system, comprising:

[0076] The data acquisition module is configured as follows:

[0077] A novel four-component shear wave data (xx,xy,yx,yy) was acquired using instruments to collect data from the target well section.

[0078] The defined module is configured as follows:

[0079] In the instrument's coordinate system (x,y), Defined as the angle relative to the instrument's x-axis direction, synthesized using orthogonal dipole four-component reflected signals. XX reflected wave signal and define In order to make The angle at which the reflected wave signal reaches its maximum amplitude;

[0080] The preprocessing module is configured as follows:

[0081] Two cross-component signals xy and yx are obtained using novel four-component shear wave data (xx,xy,yx,yy). These signals are then windowed and Fourier transformed to obtain the phase spectrum. The actual phase difference is obtained by comparing the two phase spectra.

[0082] The image creation module is configured as follows:

[0083] According to the new four-component data combination mode, the theoretical phase difference between the two cross component signals xy and yx is theoretically calculated by changing the orientation of the reflector, and a pattern of its variation with the orientation of the external reflector is established based on the phase difference.

[0084] The output module is configured as follows:

[0085] Determine the true azimuth of the reflector based on the pattern diagram. If the difference between the actual phase and the actual phase conforms to the pattern shown in the theoretical chart, then... The true azimuth of the reflector; otherwise, the true azimuth is

[0086] In another embodiment of the present invention, a computer device is provided, comprising a processor and a memory. The memory stores a computer program, which includes program instructions. The processor executes the program instructions stored in the computer storage medium. The processor may be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. It is the computing and control core of the terminal, suitable for implementing one or more instructions, specifically suitable for loading and executing one or more instructions in the computer storage medium to achieve a corresponding method flow or corresponding function. The processor described in this embodiment of the present invention can be used for the operation of an azimuth transverse wave long-range detection data processing method.

[0087] In another embodiment of the present invention, a storage medium is provided, specifically a computer-readable storage medium (Memory), which is a memory device in a computer device used to store programs and data. It is understood that the computer-readable storage medium here can include both the built-in storage medium in the computer device and extended storage media supported by the computer device. The computer-readable storage medium provides storage space that stores the terminal's operating system. Furthermore, the storage space also stores one or more instructions suitable for loading and execution by a processor. These instructions can be one or more computer programs (including program code). It should be noted that the computer-readable storage medium here can be a high-speed RAM memory or a non-volatile memory, such as at least one disk storage device. The processor can load and execute one or more instructions stored in the computer-readable storage medium to implement the corresponding steps of the azimuth shear wave remote sensing data processing method in the above embodiments.

[0088] 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, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0089] 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.

[0090] 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.

[0091] 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.

[0092] 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 or all of the technical features therein; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for processing azimuth shear wave long-range sounding data, characterized in that, Includes the following steps: A novel four-component shear wave data (xx,xy,yx,yy) was acquired using instruments to collect data from the target well section. In the instrument's coordinate system (x,y), Defined as the angle relative to the instrument's x-axis direction, synthesized using orthogonal dipole four-component reflected signals. XX reflected wave signal and define In order to make The angle at which the reflected wave signal reaches its maximum amplitude; Two cross-component signals xy and yx are obtained using novel four-component shear wave data (xx,xy,yx,yy). These signals are then windowed and Fourier transformed to obtain the phase spectrum. The actual phase difference is obtained by comparing the two phase spectra. According to the new four-component data combination mode, the theoretical phase difference between the two cross component signals xy and yx is theoretically calculated by changing the orientation of the reflector, and a pattern of its variation with the orientation of the external reflector is established based on the theoretical phase difference. Determine the true azimuth of the reflector based on the pattern diagram. If the difference between the actual phase and the actual phase conforms to the pattern shown in the theoretical chart, then... The true azimuth of the reflector; otherwise, the true azimuth is 2. The method for processing azimuth shear wave long-range sounding data according to claim 1, characterized in that, The synthesized reflected wave signal Angle at its maximum value The orientation of the reflector is determined.

3. The method for processing azimuth shear wave long-range sounding data according to claim 1, characterized in that, The synthesized reflected wave signal The angle at which the value is maximized is 4. The method for processing azimuth shear wave long-range sounding data according to claim 1, characterized in that, The synthesis of orthogonal dipole four-component reflection signals XX reflected wave signal The process is as follows:

5. The method for processing azimuth shear wave long-range sounding data according to claim 1, characterized in that, The four-component reflection imaging data is used to obtain two cross-component signals xy and yx, and their waveforms are then windowed.

6. The method for processing azimuth shear wave long-range sounding data according to claim 1, characterized in that, The theoretical process for calculating the phase difference between the two cross-component signals xy and yx is as follows: Based on the theory of interaction between elastic waves and wellbore, the virtual source method, the cylindrical wave expansion method of spherical waves and the steepest descent method are used to analyze and calculate the azimuth received waveform of dipole shear waves in fluid-filled wellbore. The theoretical cross component is obtained according to the new four-component data combination mode, and the phase difference between the two is calculated by sliding windowing.

7. The method for processing azimuth shear wave long-range sounding data according to claim 1, characterized in that, The novel four-component data combination mode is as follows:

8. A azimuth shear wave long-range detection data processing system, characterized in that, A method for processing azimuth shear wave long-range sounding data according to any one of claims 1-7 includes: The data acquisition module is configured as follows: A novel four-component shear wave data (xx,xy,yx,yy) was acquired using instruments to collect data from the target well section. The defined module is configured as follows: In the instrument's coordinate system (x,y), Defined as the angle relative to the instrument's x-axis direction, synthesized using orthogonal dipole four-component reflected signals. XX reflected wave signal and define In order to make The angle at which the reflected wave signal reaches its maximum amplitude; The preprocessing module is configured as follows: Two cross-component signals xy and yx are obtained using novel four-component shear wave data (xx,xy,yx,yy). These signals are then windowed and Fourier transformed to obtain the phase spectrum. The actual phase difference is obtained by comparing the two phase spectra. The image creation module is configured as follows: According to the new four-component data combination mode, the theoretical phase difference between the two cross component signals xy and yx is theoretically calculated by changing the orientation of the reflector, and a pattern of its variation with the orientation of the external reflector is established based on the phase difference. The output module is configured as follows: Determine the true azimuth of the reflector based on the pattern diagram. If the difference between the actual phase and the actual phase conforms to the pattern shown in the theoretical chart, then... The true azimuth of the reflector; otherwise, the true azimuth is 9. 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 computer program, it implements the steps of the azimuth shear wave remote sensing data processing method as described in any one of claims 1-7.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps of the azimuth shear wave remote sensing data processing method as described in any one of claims 1-7.

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