A method, device, equipment and storage medium for processing wide-azimuth seismic signals

By performing pre-stack abnormal energy attenuation and surface wave noise processing on the initial seismic signal and combining observation data with surface characteristics, the problem of poor denoising of deep seismic signals was solved, high-fidelity signal extraction was achieved, and the imaging accuracy of deep thin reservoirs and faults was improved.

CN119620186BActive Publication Date: 2025-10-03PETROCHINA CO LTD
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Patent Information

Application Number
CN202311171066.2
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2023-09-12
Publication Date
2025-10-03
Estimated Expiration
2043-09-12

AI Technical Summary

Technical Problem

Existing technologies have poor denoising effects and low fidelity when processing deep seismic signals, especially for wide-azimuth single shots or distant single shots with large lateral offsets. The conversion of seismic signals between different domains can easily lead to loss of effective signals, making it impossible to meet the requirements of high-fidelity transformation.

Method used

By acquiring the initial seismic signal and performing pre-stack abnormal energy attenuation, the surface wave development frequency band is determined, and the surface wave noise of the target frequency band is attenuated. Combining the observation data and surface characteristics, the single shot signals of the near shot point, far shot point and medium shot point arrangements are processed respectively to achieve high-fidelity signal extraction.

Benefits of technology

The fidelity of deep and ultra-deep seismic signals has been significantly improved, and the imaging and identification accuracy of deep thin reservoirs and faults has been enhanced.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present invention discloses a method, device, equipment and storage medium for processing wide-azimuth seismic signals. The method comprises: performing pre-stack abnormal energy attenuation on the initial seismic signal, performing spectrum analysis on the first signal, and determining the surface wave development frequency band; performing surface wave noise attenuation on the first signal in the target frequency band to obtain a second signal; determining, in the second signal, the signal of the first shot point arrangement single shot matching, the signal of the second shot point arrangement single shot matching, and the signal of the third shot point arrangement single shot matching based on the observation data and surface characteristics of the target area; processing the signals of the first shot point arrangement single shot, the second shot point arrangement single shot, and the third shot point arrangement single shot matching respectively to determine the target seismic signal. This technical solution solves the problems of poor denoising effect and low fidelity of wide-azimuth seismic signals, can greatly improve the fidelity of deep and ultra-deep seismic signals, and is conducive to improving the imaging accuracy and recognition accuracy of deep thin reservoirs, faults, and cracks.
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Description

Technical Field

[0001] The present invention relates to the field of signal processing technology, and in particular to a method, device, electronic equipment and storage medium for processing wide-azimuth seismic signals. Background Art

[0002] With the continuous advancement of oil and gas exploration, oil and gas exploration targets are gradually shifting towards deep, ultra-deep, deepwater, and unconventional oil and gas reservoirs. Wide-azimuth seismic data increases acquisition illumination, reduces blind spots in seismic observations, and can obtain a more complete seismic wave field, which is conducive to the precise identification of deep oil and gas geological targets and the detailed characterization of faults. Deep oil and gas reservoirs are deeply buried and subjected to high stress compression. The reservoirs have low porosity, low permeability, and strong heterogeneity. Deep and complex oil and gas reservoirs face challenges such as weak seismic wave energy, low signal-to-noise ratio, and low seismic visibility of deep targets.

[0003] Currently, denoising methods for deep seismic signals mainly include FK domain filtering, FX domain filtering, polynomial fitting, KL transform, vector decomposition, curvelet transform, Radon transform, and wavelet transform. A common characteristic of existing denoising schemes is that they require domain conversion of the seismic signal, performing signal-to-noise separation and noise suppression within different domains. However, for single shots with large lateral offsets in wide azimuths or widely spaced shots, the spatial sampling spacing of the seismic signal during the conversion process between domains is highly uneven, making it difficult to meet the spatial sampling requirements of the conversion algorithms across different domains. This can easily lead to loss of effective signal and prevent high-fidelity conversion of the seismic signal. Summary of the Invention

[0004] The present invention provides a wide-azimuth seismic signal processing method, device, equipment and storage medium to address the problems of poor denoising and low fidelity of deep seismic signals. It can significantly improve the fidelity of deep and ultra-deep seismic signals, and is conducive to improving the imaging and identification accuracy of deep thin reservoirs, faults and cracks.

[0005] According to one aspect of the present invention, a method for processing wide-azimuth seismic signals is provided, the method comprising:

[0006] Acquiring an initial seismic signal of a target area, performing prestack abnormal energy attenuation on the initial seismic signal, and obtaining a first attenuated signal;

[0007] Perform spectrum analysis on the signal after the first attenuation to determine the surface wave development frequency band;

[0008] According to the surface roll development frequency band, the first attenuated signal is subjected to surface roll noise attenuation in the target frequency band to obtain a second attenuated signal;

[0009] Determining, from the second attenuated signal, a signal matching a single shot of the first shot arrangement, a signal matching a single shot of the second shot arrangement, and a signal matching a single shot of the third shot arrangement based on observation data and surface features of the target area;

[0010] The signals of the single shot matching of the first shot point arrangement, the single shot matching signals of the second shot point arrangement, and the single shot matching signals of the third shot point arrangement are processed respectively to determine the target seismic signal.

[0011] According to another aspect of the present invention, there is provided a device for processing wide-azimuth seismic signals, the device comprising:

[0012] A first signal generating module is configured to obtain an initial seismic signal of a target area, perform prestack abnormal energy attenuation on the initial seismic signal, and obtain a first attenuated signal;

[0013] a surface wave frequency band determination module, configured to perform spectrum analysis on the first attenuated signal to determine the surface wave development frequency band;

[0014] A second signal generating module is configured to perform surface roll noise attenuation of a target frequency band on the first attenuated signal according to the surface roll development frequency band to obtain a second attenuated signal;

[0015] an arrangement signal determination module for determining, from the second attenuated signal, a signal for matching a single shot of the first shot arrangement, a signal for matching a single shot of the second shot arrangement, and a signal for matching a single shot of the third shot arrangement based on the observation data and surface features of the target area;

[0016] The target signal determination module is used to process the signal of the single shot matching of the first shot point arrangement, the signal of the single shot matching of the second shot point arrangement and the signal of the single shot matching of the third shot point arrangement respectively to determine the target seismic signal.

[0017] According to another aspect of the present invention, an electronic device is provided, comprising:

[0018] at least one processor; and

[0019] a memory communicatively connected to the at least one processor; wherein,

[0020] The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can perform the method for processing wide-azimuth seismic signals described in any embodiment of the present invention.

[0021] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the method for processing wide-azimuth seismic signals according to any embodiment of the present invention when executed.

[0022] The technical solution of the embodiment of the present invention obtains an initial seismic signal from a target area, performs prestack anomaly energy attenuation on the initial seismic signal, and obtains a first attenuated signal. The first attenuated signal is then spectrally analyzed to determine the surface wave development frequency band. Based on the surface wave development frequency band, the first attenuated signal is subjected to surface wave noise attenuation in the target frequency band to obtain a second attenuated signal. Based on the observation data and surface characteristics of the target area, the second attenuated signal is then determined from the second attenuated signal for the first shot point arrangement single shot matching signal, the second shot point arrangement single shot matching signal, and the third shot point arrangement single shot matching signal. Finally, the first shot point arrangement single shot matching signal, the second shot point arrangement single shot matching signal, and the third shot point arrangement single shot matching signal are processed separately to determine the target seismic signal. This technical solution solves the problems of poor denoising and low fidelity of wide-azimuth seismic signals, significantly improving the fidelity of deep and ultra-deep seismic signals, and facilitating improved imaging and identification accuracy of deep thin reservoirs, faults, and fractures.

[0023] It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present invention, nor is it intended to limit the scope of the present invention. Other features of the present invention will become readily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0025] Figure 1 is a flow chart of a method for processing wide-azimuth seismic signals according to embodiment 1 of the present invention;

[0026] Figure 2A is a flow chart of a method for processing wide-azimuth seismic signals according to a second embodiment of the present invention;

[0027] Figure 2B 2. It is a schematic diagram of the noise characteristics of a single shot arranged near the shot point according to the second embodiment of the present invention;

[0028] Figure 2C 2. This is a schematic diagram of the noise characteristics of a single shot in a central shot arrangement according to the second embodiment of the present invention;

[0029] Figure 2D 2. Schematic diagram of noise characteristics of a single shot arranged at a distance according to the second embodiment of the present invention;

[0030] Figure 2E 2 is a schematic diagram comparing the results of decomposition denoising and non-decomposition denoising provided in the second embodiment of the present invention;

[0031] Figure 3 1 is a schematic structural diagram of a wide-azimuth seismic signal processing device provided according to a third embodiment of the present invention;

[0032] Figure 4 It is a structural diagram of an electronic device for implementing the wide-azimuth seismic signal processing method according to an embodiment of the present invention. DETAILED DESCRIPTION

[0033] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts should fall within the scope of protection of the present invention.

[0034] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices. The acquisition, storage, use, processing, etc. of data in the technical solution of this application comply with the relevant provisions of national laws and regulations.

[0035] Example 1

[0036] Figure 1 A flowchart of a method for processing wide-azimuth seismic signals is provided for the first embodiment of the present invention. This embodiment is applicable to seismic data interpretation scenarios, and is particularly applicable to seismic signal denoising scenarios. The method can be executed by a wide-azimuth seismic signal processing device, which can be implemented in the form of hardware and / or software and can be configured in an electronic device. Figure 1 As shown, the method includes:

[0037] S110 , acquiring an initial seismic signal of a target area, performing pre-stack abnormal energy attenuation on the initial seismic signal, and obtaining a first attenuated signal.

[0038] This solution can be executed by a seismic signal processing system, which can obtain the initial seismic signal of the target area. The initial seismic signal can be a wide-azimuth seismic signal. Due to the increased acquisition illumination, wide-azimuth seismic observation can obtain a more complete seismic wave field, reduce the blind area of ​​seismic observation, and facilitate the study of the change of amplitude with shot offset and azimuth, as well as the change of formation velocity with azimuth. It improves the imaging and identification accuracy of deep thin reservoirs, faults, and fractures, has high amplitude fidelity, and has obvious advantages in imaging high-steep structures and complex fault blocks, and predicting lithologic and fracture-type reservoirs. After obtaining the initial seismic signal, the seismic signal processing system can perform pre-stack abnormal energy attenuation on the initial seismic signal to suppress pre-stack noise and obtain a first attenuated signal.

[0039] S120: Perform spectrum analysis on the first attenuated signal to determine a surface roll development frequency band.

[0040] It can be understood that the seismic signal processing system performs spectrum analysis on the first attenuated signal and performs frequency division scanning to determine the development frequency band of the surface wave.

[0041] S130 , performing target frequency band surface roll noise attenuation on the first attenuated signal according to the surface roll development frequency band to obtain a second attenuated signal.

[0042] Based on the surface roll development frequency band, the seismic signal processing system can perform surface roll noise attenuation in a target frequency band on the first attenuated signal to remove low-frequency surface roll noise. The target frequency band can be a pre-set low-frequency range. After attenuating the surface roll noise in the target frequency band, a second attenuated signal containing medium- and high-speed noise is obtained.

[0043] S140 , determining, in the second attenuated signal, a signal of a first shot point arrangement single shot matching, a signal of a second shot point arrangement single shot matching, and a signal of a third shot point arrangement single shot matching based on the observation data and surface features of the target area.

[0044] The seismic signal processing system can obtain observation data from an observation system in the target area and, based on the observation data and the surface characteristics of the target area, extract, from the second attenuated signal, a signal matching a single shot of a first shot arrangement, a signal matching a single shot of a second shot arrangement, and a signal matching a single shot of a third shot arrangement. The first shot arrangement may be a single shot of a near shot arrangement, the second shot arrangement may be a single shot of a middle shot arrangement, and the third shot arrangement may be a single shot of a far shot arrangement.

[0045] S150 , respectively process the signal of the first shot point arrangement single shot matching, the signal of the second shot point arrangement single shot matching, and the signal of the third shot point arrangement single shot matching to determine the target seismic signal.

[0046] It is easy to understand that, based on the single-shot noise characteristics of different shot point arrangements, the seismic signal processing system can perform noise reduction processing on the signal of the single-shot matching of the first shot point arrangement, the signal of the single-shot matching of the second shot point arrangement, and the signal of the single-shot matching of the third shot point arrangement, respectively, to obtain a high-fidelity target seismic signal.

[0047] The technical solution of the embodiment of the present invention obtains the initial seismic signal of the target area, performs pre-stack abnormal energy attenuation on the initial seismic signal, and obtains a first attenuated signal; then, spectrally analyzes the first attenuated signal to determine the surface wave development frequency band, and based on the surface wave development frequency band, performs surface wave noise attenuation on the first attenuated signal in the target frequency band to obtain a second attenuated signal; then, based on the observation data and surface characteristics of the target area, determines the signal of the first shot point arrangement single shot matching, the signal of the second shot point arrangement single shot matching, and the signal of the third shot point arrangement single shot matching in the second attenuated signal; finally, the signal of the first shot point arrangement single shot matching, the signal of the second shot point arrangement single shot matching, and the signal of the third shot point arrangement single shot matching are processed separately to determine the target seismic signal. This technical solution solves the problems of poor denoising effect and low fidelity of deep seismic signals, can significantly improve the fidelity of deep and ultra-deep seismic signals, and is conducive to improving the imaging accuracy and identification accuracy of deep thin reservoirs, faults, and fractures.

[0048] Example 2

[0049] Figure 2A This is a flow chart of a method for processing wide-azimuth seismic signals provided in the second embodiment of the present invention. This embodiment is based on the above embodiment and is refined. Figure 2A As shown, the method includes:

[0050] S210: Acquire an initial seismic signal of a target area, perform pre-stack abnormal energy attenuation on the initial seismic signal, and obtain a first attenuated signal.

[0051] S220: Perform spectrum analysis on the first attenuated signal to determine a surface roll development frequency band.

[0052] S230 , performing target frequency band surface roll noise attenuation on the first attenuated signal according to the surface roll development frequency band to obtain a second attenuated signal.

[0053] S240 , determining, in the second attenuated signal, a signal of a first shot point arrangement single shot matching, a signal of a second shot point arrangement single shot matching, and a signal of a third shot point arrangement single shot matching based on the observation data and surface features of the target area.

[0054] In this solution, the first gun point arrangement single gun may be a near gun point arrangement single gun, the second gun point arrangement single gun may be a middle gun point arrangement single gun, and the third gun point arrangement single gun may be a far gun point arrangement single gun.

[0055] S250. Process the signal of the first shot point arrangement single shot matching according to the first process to obtain a first target signal, process the signal of the second shot point arrangement single shot matching according to the second process to obtain a second target signal, and process the signal of the third shot point arrangement single shot matching according to the third process to obtain a third target signal.

[0056] It is understandable that the signal of the first shot arrangement single shot matching contains the noise of the near shot arrangement single shot. Figure 2B : is a schematic diagram of the noise characteristics of a single shot arranged near the shot point according to the second embodiment of the present invention. Figure 2B As shown in FIG, the noise of a single shot near the shot point arrangement is linearly distributed. Therefore, the seismic signal processing system can perform noise reduction processing on the signal of the single shot matching of the first shot point arrangement according to the linear noise processing process to obtain the first target signal.

[0057] The signal of the second shot point arrangement single shot matching contains the middle shot point arrangement single shot noise. Figure 2C : is a schematic diagram of the noise characteristics of a single shot in a middle shot arrangement according to the second embodiment of the present invention. Figure 2C As shown, the noise of a single shot in the middle shot arrangement is approximately linearly distributed. Therefore, the seismic signal processing system can perform noise reduction processing on the signal matched with a single shot in the second shot arrangement according to the approximately linear noise processing process to obtain a second target signal.

[0058] The signal of the third shot point arrangement single shot matching contains the noise of the distant shot point arrangement single shot. Figure 2D : is a schematic diagram of the noise characteristics of a single shot arranged at a distance according to the second embodiment of the present invention. Figure 2D As shown in FIG, the noise of a single shot of a distant shot arrangement is approximately distributed in a hyperbolic manner. Therefore, the seismic signal processing system can perform noise reduction processing on the signal of the single shot matching of the third shot arrangement according to the approximate hyperbolic noise processing process to obtain the third target signal.

[0059] In this solution, optionally, the signal of the first shot point arrangement single shot matching is processed according to the first process to obtain the first target signal, including:

[0060] Perform linear noise attenuation on the signal of the first shot point arrangement single shot matching to obtain the first target signal.

[0061] For the single shot noise of close shot arrangement, the seismic signal processing system can perform linear noise attenuation on the signal matched by the single shot of the first shot arrangement to reduce linear noise interference and obtain the first target signal, that is, the high-fidelity effective signal of the single shot of close shot arrangement.

[0062] In a feasible solution, the signal of the second shot point arrangement single shot matching is processed according to the second process to obtain the second target signal, including:

[0063] Performing linear noise attenuation on the signal of the second shot point arrangement single shot matching to obtain the attenuated signal of the second shot point arrangement single shot matching and the attenuated noise of the second shot point arrangement single shot matching;

[0064] Performing dynamic correction processing on the attenuated noise of the second shot point arrangement single shot matching, and extracting the target correction signal of the second shot point arrangement single shot matching from the dynamic correction noise;

[0065] A second target signal is determined based on the target correction signal and the attenuated signal of the second shot point arrangement single shot matching.

[0066] For the noise from a single shot in the middle shot arrangement, the seismic signal processing system can perform linear noise attenuation on the signal matched by the single shot in the second shot arrangement. Since the noise from a single shot in the middle shot arrangement is not completely linear, linear noise attenuation is performed on the signal matched by the single shot in the second shot arrangement to obtain the attenuated signal and the attenuated noise.

[0067] The seismic signal processing system can perform dynamic dynamic correction (DYN) on the attenuated noise from the second shot arrangement, generating a DYN noise. From the DYN noise, the seismic signal processing system can extract the target correction signal from the second shot arrangement, i.e., a weak effective signal. Based on the target correction signal and the attenuated signal from the second shot arrangement, the seismic signal processing system can obtain the second target signal, i.e., a high-fidelity effective signal from the medium shot arrangement.

[0068] Based on the above solution, determining the second target signal according to the target correction signal and the attenuated signal of the second shot arrangement single shot matching includes:

[0069] performing a counter-correction process on the target correction signal to obtain a target attenuation signal;

[0070] The target attenuated signal is superimposed with the attenuated signal of the second shot point arrangement single shot matching to obtain the second target signal.

[0071] The seismic signal processing system can perform a counter-correction on the target correction signal to obtain a weak effective signal with noise removed. The target correction signal is reconstructed with the attenuated signal of the second shot arrangement single shot matching to obtain a second target signal.

[0072] In this embodiment, optionally, processing the signal of the single shot matching of the third shot point arrangement according to the third process to obtain the third target signal includes:

[0073] Performing linearization processing on the signal of the single shot matching of the third shot point arrangement to obtain a linear signal of the single shot matching of the third shot point arrangement;

[0074] performing linear noise attenuation on the linear signal of the third shot point arrangement single shot matching to obtain the linear attenuated signal of the third shot point arrangement single shot matching and the linear attenuated noise of the third shot point arrangement single shot matching;

[0075] A third target signal is determined based on the linear attenuation signal of the third shot point arrangement single shot matching and the linear attenuation noise of the third shot point arrangement single shot matching.

[0076] Since the single shot noise of the middle shot arrangement is approximately hyperbolic in distribution, the seismic signal processing system can perform linearization processing on the single shot matching signal of the third shot arrangement to obtain the linear signal of the single shot matching of the third shot arrangement.

[0077] After obtaining the linear signal for the third shot arrangement, the seismic signal processing system can perform linear noise attenuation on the linear signal, similar to the signal processing for the second shot arrangement, to obtain a linearly attenuated signal and a linearly attenuated noise for the third shot arrangement. Based on the linearly attenuated signal and the linearly attenuated noise for the third shot arrangement, the seismic signal processing system can obtain a third target signal, i.e., a high-fidelity effective signal for the far shot arrangement.

[0078] Based on the above solution, determining the third target signal based on the linear attenuation signal of the third shot arrangement and the linear attenuation noise of the third shot arrangement includes:

[0079] Performing inverse linearization processing on the linear attenuation signal of the third shot point arrangement single shot matching to obtain an attenuated signal of the third shot point arrangement single shot matching, and performing inverse linearization processing on the linear attenuation noise of the third shot point arrangement single shot matching to obtain an attenuated noise of the third shot point arrangement single shot matching;

[0080] Performing dynamic correction processing on the attenuated noise of the third shot point arrangement single shot matching, and extracting the target correction signal of the third shot point arrangement single shot matching from the dynamic correction noise;

[0081] A third target signal is determined based on the target correction signal and the attenuated signal of the single-shot matching of the third shot arrangement.

[0082] The seismic signal processing system can perform delinearization processing on the linear attenuation signal and linear attenuation noise of the third shot arrangement single shot matching, respectively obtaining the attenuated signal and attenuated noise of the third shot arrangement single shot matching. By performing dynamic dynamic correction processing on the linear attenuation signal of the third shot arrangement single shot matching, the target correction signal of the third shot arrangement single shot matching, i.e., the weak effective signal in the distant shot arrangement single shot noise, can be extracted from the dynamic dynamic correction noise.

[0083] The seismic signal processing system can perform a counter-correction on the target correction signal from the third shot arrangement, generating a target attenuation signal—that is, a weak, effective signal from the third shot arrangement with noise removed. The target attenuation signal is then superimposed and reconstructed with the attenuated signal from the third shot arrangement to generate the third target signal.

[0084] S260. Determine a target seismic signal according to the first target signal, the second target signal, and the third target signal.

[0085] The first target signal, the second target signal and the third target signal are superimposed to obtain a target seismic signal.

[0086] Figure 2E : is a schematic diagram comparing the results of decomposition denoising and non-decomposition denoising provided by the second embodiment of the present invention. Figure 2E As shown in a specific example, compared with the denoising results obtained by processing the wide-azimuth seismic signals of region A using denoising methods such as FK domain filtering and FX domain filtering, the seismic signal fidelity obtained by the decomposition denoising method of this scheme is higher, especially in Figure 2E The middle arrow indicates the position. The seismic signal processing method of this scheme is more capable of protecting the weak effective signals in deep or ultra-deep layers and improving the signal-to-noise ratio of seismic signal noise attenuation.

[0087] The technical solution of the embodiment of the present invention obtains the initial seismic signal of the target area, performs pre-stack abnormal energy attenuation on the initial seismic signal, and obtains a first attenuated signal; then, spectrally analyzes the first attenuated signal to determine the surface wave development frequency band, and based on the surface wave development frequency band, performs surface wave noise attenuation on the first attenuated signal in the target frequency band to obtain a second attenuated signal; then, based on the observation data and surface characteristics of the target area, determines the signal of the first shot point arrangement single shot matching, the signal of the second shot point arrangement single shot matching, and the signal of the third shot point arrangement single shot matching in the second attenuated signal; finally, the signal of the first shot point arrangement single shot matching, the signal of the second shot point arrangement single shot matching, and the signal of the third shot point arrangement single shot matching are processed separately to determine the target seismic signal. This technical solution solves the problems of poor denoising effect and low fidelity of deep seismic signals, can significantly improve the fidelity of deep and ultra-deep seismic signals, and is conducive to improving the imaging accuracy and identification accuracy of deep thin reservoirs, faults, and fractures.

[0088] Example 3

[0089] Figure 3 This is a schematic diagram of a wide-azimuth seismic signal processing device provided in the third embodiment of the present invention. Figure 3 As shown, the device includes:

[0090] The first signal generating module 310 is configured to obtain an initial seismic signal of a target area, and perform pre-stack abnormal energy attenuation on the initial seismic signal to obtain a first attenuated signal;

[0091] a surface roll frequency band determination module 320 for performing spectrum analysis on the first attenuated signal to determine a surface roll development frequency band;

[0092] The second signal generating module 330 is configured to perform surface roll noise attenuation of a target frequency band on the first attenuated signal according to the surface roll development frequency band to obtain a second attenuated signal;

[0093] an arrangement signal determination module 340 for determining, from the second attenuated signal, a signal for a first shot point arrangement single shot match, a signal for a second shot point arrangement single shot match, and a signal for a third shot point arrangement single shot match based on the observation data and surface features of the target area;

[0094] The target signal determination module 350 is used to process the signal of the first shot point arrangement single shot matching, the signal of the second shot point arrangement single shot matching and the signal of the third shot point arrangement single shot matching respectively to determine the target seismic signal.

[0095] In this solution, optionally, the target signal determination module 350 includes:

[0096] an arrangement signal processing unit, configured to process the signal of the first shot point arrangement single shot matching according to a first process to obtain a first target signal, process the signal of the second shot point arrangement single shot matching according to a second process to obtain a second target signal, and process the signal of the third shot point arrangement single shot matching according to a third process to obtain a third target signal;

[0097] The target seismic signal determining unit is used to determine the target seismic signal according to the first target signal, the second target signal and the third target signal.

[0098] Based on the above solution, optionally, the arrangement signal processing unit includes a first arrangement signal processing subunit, and the first arrangement signal processing subunit is used to perform linear noise attenuation on the signal of single-shot matching of the first shot point arrangement to obtain a first target signal.

[0099] In a feasible solution, the arrangement signal processing unit includes a second arrangement signal processing subunit, and the second arrangement signal processing subunit is configured to:

[0100] Performing linear noise attenuation on the signal of the second shot point arrangement single shot matching to obtain the attenuated signal of the second shot point arrangement single shot matching and the attenuated noise of the second shot point arrangement single shot matching;

[0101] Performing dynamic correction processing on the attenuated noise of the second shot point arrangement single shot matching, and extracting the target correction signal of the second shot point arrangement single shot matching from the dynamic correction noise;

[0102] A second target signal is determined based on the target correction signal and the attenuated signal of the second shot point arrangement single shot matching.

[0103] On the basis of the above solution, the second arrangement signal processing subunit is specifically used to:

[0104] performing a counter-correction process on the target correction signal to obtain a target attenuation signal;

[0105] The target attenuated signal is superimposed with the attenuated signal of the second shot point arrangement single shot matching to obtain the second target signal.

[0106] In a preferred embodiment, the arrangement signal processing unit includes a third arrangement signal processing subunit, and the third arrangement signal processing subunit is configured to:

[0107] Performing linearization processing on the signal of the single shot matching of the third shot point arrangement to obtain a linear signal of the single shot matching of the third shot point arrangement;

[0108] performing linear noise attenuation on the linear signal of the third shot point arrangement single shot matching to obtain the linear attenuated signal of the third shot point arrangement single shot matching and the linear attenuated noise of the third shot point arrangement single shot matching;

[0109] A third target signal is determined based on the linear attenuation signal of the third shot point arrangement single shot matching and the linear attenuation noise of the third shot point arrangement single shot matching.

[0110] Based on the above solution, optionally, the third arrangement signal processing subunit is specifically configured to:

[0111] Performing inverse linearization processing on the linear attenuation signal of the third shot point arrangement single shot matching to obtain an attenuated signal of the third shot point arrangement single shot matching, and performing inverse linearization processing on the linear attenuation noise of the third shot point arrangement single shot matching to obtain an attenuated noise of the third shot point arrangement single shot matching;

[0112] Performing dynamic correction processing on the attenuated noise of the third shot point arrangement single shot matching, and extracting the target correction signal of the third shot point arrangement single shot matching from the dynamic correction noise;

[0113] A third target signal is determined based on the target correction signal and the attenuated signal of the single-shot matching of the third shot arrangement.

[0114] The wide-azimuth seismic signal processing device provided in the embodiment of the present invention can execute the wide-azimuth seismic signal processing method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0115] Example 4

[0116] Figure 4 A schematic diagram of the structure of an electronic device 410 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0117] like Figure 4As shown, the electronic device 410 includes at least one processor 411, and a memory connected to the at least one processor 411, such as a read-only memory (ROM) 412, a random access memory (RAM) 413, etc., wherein the memory stores a computer program that can be executed by the at least one processor, and the processor 411 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 412 or the computer program loaded from the storage unit 418 to the random access memory (RAM) 413. Various programs and data required for the operation of the electronic device 410 can also be stored in the RAM 413. The processor 411, ROM 412 and RAM 413 are connected to each other via a bus 414. An input / output (I / O) interface 415 is also connected to the bus 414.

[0118] Multiple components in electronic device 410 are connected to I / O interface 415, including an input unit 416, such as a keyboard, mouse, etc.; an output unit 417, such as various types of displays, speakers, etc.; a storage unit 418, such as a magnetic disk, optical disk, etc.; and a communication unit 419, such as a network card, modem, wireless communication transceiver, etc. The communication unit 419 allows electronic device 410 to exchange information / data with other devices via a computer network such as the Internet and / or various telecommunication networks.

[0119] Processor 411 can be any general-purpose and / or specialized processing component with processing and computing capabilities. Some examples of processor 411 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various specialized artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. Processor 411 executes the various methods and processes described above, such as the method for processing wide-azimuth seismic signals.

[0120] In some embodiments, the method for processing wide-azimuth seismic signals may be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as the storage unit 418. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 410 via the ROM 412 and / or the communication unit 419. When the computer program is loaded into the RAM 413 and executed by the processor 411, one or more steps of the method for processing wide-azimuth seismic signals described above may be performed. Alternatively, in other embodiments, the processor 411 may be configured to perform the method for processing wide-azimuth seismic signals in any other appropriate manner (e.g., by means of firmware).

[0121] Various embodiments of the systems and techniques described above can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on a chip (SOCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include being implemented in one or more computer programs that are executable and / or interpreted on a programmable system that includes at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0122] Computer programs for implementing the methods of the present invention can be written in any combination of one or more programming languages. These computer programs can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable wide-azimuth seismic signal processing device, such that when executed by the processor, the computer programs implement the functions / operations specified in the flowcharts and / or block diagrams. The computer programs can be executed entirely on the machine, partially on the machine, as a stand-alone software package, partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0123] In the context of the present invention, computer-readable storage media can be tangible media that can contain or store a computer program for use with an instruction execution system, device or equipment or used in combination with an instruction execution system, device or equipment. Computer-readable storage media can include but are not limited to electronic, magnetic, optical, electromagnetic, infrared or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, computer-readable storage media can be machine-readable signal media. More specific examples of machine-readable storage media can include electrical connections based on one or more lines, portable computer disks, hard disks, random access memories (RAM), read-only memories (ROM), erasable programmable read-only memories (EPROM or flash memory), optical fibers, portable compact disk read-only memories (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0124] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0125] The systems and techniques described herein can be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., a user computer with a graphical user interface or web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0126] A computing system may include clients and servers. The clients and servers are typically remote from each other and typically interact via a communication network. This client-server relationship arises through computer programs running on the respective computers, creating a client-server relationship. The server may be a cloud server, also known as a cloud computing server or cloud host. This server is a hosting product within the cloud computing service ecosystem that addresses the management difficulties and limited scalability of traditional physical hosting and VPS services.

[0127] It should be understood that the various forms of the processes shown above can be used to reorder, add, or delete steps. For example, the steps described in the present invention can be performed in parallel, sequentially, or in a different order, as long as the desired results of the technical solution of the present invention can be achieved. This is not limited herein.

[0128] The above specific embodiments do not limit the scope of protection of the present invention. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions may be made based on design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention are intended to be included within the scope of protection of the present invention.

Claims

1. A method for processing wide-azimuth seismic signals, characterized in that: The method comprises: Acquiring an initial seismic signal of a target area, performing prestack abnormal energy attenuation on the initial seismic signal, and obtaining a first attenuated signal; Perform spectrum analysis on the signal after the first attenuation to determine the surface wave development frequency band; According to the surface roll development frequency band, the first attenuated signal is subjected to surface roll noise attenuation in the target frequency band to obtain a second attenuated signal; determining, from the second attenuated signal, a signal matching a single shot of a first shot arrangement, a signal matching a single shot of a second shot arrangement, and a signal matching a single shot of a third shot arrangement based on observation data and surface features of the target area; wherein the first shot arrangement single shot is a single shot of a near shot arrangement, the second shot arrangement single shot is a single shot of a middle shot arrangement, and the third shot arrangement single shot is a single shot of a far shot arrangement; The signal of the single shot matching of the first shot point arrangement is subjected to noise reduction processing according to a linear noise processing process to obtain a first target signal. The signal of the single shot matching of the second shot point arrangement is subjected to noise reduction processing according to an approximate linear noise processing process to obtain a second target signal. The signal of the single shot matching of the third shot point arrangement is subjected to noise reduction processing according to an approximate hyperbolic noise processing process to obtain a third target signal. A target seismic signal is determined according to the first target signal, the second target signal, and the third target signal.

2. The method according to claim 1, characterized in that The step of performing noise reduction processing on the signal of the second shot point arrangement single shot matching according to an approximately linear noise processing process to obtain a second target signal includes: Performing linear noise attenuation on the signal of the second shot point arrangement single shot matching to obtain the attenuated signal of the second shot point arrangement single shot matching and the attenuated noise of the second shot point arrangement single shot matching; Performing dynamic correction processing on the attenuated noise of the second shot point arrangement single shot matching, and extracting the target correction signal of the second shot point arrangement single shot matching from the dynamic correction noise; A second target signal is determined based on the target correction signal and the attenuated signal of the second shot point arrangement single shot matching.

3. The method according to claim 2, characterized in that Determining a second target signal based on the target correction signal and the attenuated signal of the second shot arrangement single shot matching includes: performing a counter-correction process on the target correction signal to obtain a target attenuation signal; The target attenuated signal is superimposed with the attenuated signal of the second shot point arrangement single shot matching to obtain the second target signal.

4. The method according to claim 1, wherein The step of performing noise reduction processing on the signal of the single shot matching of the third shot point arrangement according to an approximate hyperbolic noise processing process to obtain a third target signal includes: Performing linearization processing on the signal of the single shot matching of the third shot point arrangement to obtain a linear signal of the single shot matching of the third shot point arrangement; performing linear noise attenuation on the linear signal of the third shot point arrangement single shot matching to obtain the linear attenuated signal of the third shot point arrangement single shot matching and the linear attenuated noise of the third shot point arrangement single shot matching; A third target signal is determined based on the linear attenuation signal of the third shot point arrangement single shot matching and the linear attenuation noise of the third shot point arrangement single shot matching.

5. The method according to claim 4, characterized in that Determining the third target signal based on the linear attenuation signal of the third shot point arrangement and the linear attenuation noise of the third shot point arrangement and the single shot matching includes: Performing inverse linearization processing on the linear attenuation signal of the third shot point arrangement single shot matching to obtain an attenuated signal of the third shot point arrangement single shot matching, and performing inverse linearization processing on the linear attenuation noise of the third shot point arrangement single shot matching to obtain an attenuated noise of the third shot point arrangement single shot matching; Performing dynamic correction processing on the attenuated noise of the third shot point arrangement single shot matching, and extracting the target correction signal of the third shot point arrangement single shot matching from the dynamic correction noise; A third target signal is determined based on the target correction signal and the attenuated signal of the single-shot matching of the third shot arrangement.

6. A wide-azimuth seismic signal processing device, characterized in that: include: A first signal generating module is configured to obtain an initial seismic signal of a target area, perform prestack abnormal energy attenuation on the initial seismic signal, and obtain a first attenuated signal; a surface wave frequency band determination module, configured to perform spectrum analysis on the first attenuated signal to determine the surface wave development frequency band; A second signal generating module is configured to perform surface roll noise attenuation of a target frequency band on the first attenuated signal according to the surface roll development frequency band to obtain a second attenuated signal; an arrangement signal determination module, configured to determine, from the second attenuated signal, a signal matching a first shot arrangement single shot, a signal matching a second shot arrangement single shot, and a signal matching a third shot arrangement single shot based on observation data and surface features of the target area; wherein the first shot arrangement single shot is a near shot arrangement single shot, the second shot arrangement single shot is a mid shot arrangement single shot, and the third shot arrangement single shot is a far shot arrangement single shot; The target signal determination module is used to perform noise reduction processing on the signal of the first shot point arrangement single shot matching according to the linear noise processing process to obtain the first target signal, perform noise reduction processing on the signal of the second shot point arrangement single shot matching according to the approximate linear noise processing process to obtain the second target signal, and perform noise reduction processing on the signal of the third shot point arrangement single shot matching according to the approximate hyperbolic noise processing process to obtain the third target signal; and determine the target seismic signal based on the first target signal, the second target signal and the third target signal.

7. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor to enable the at least one processor to perform the method for processing wide-azimuth seismic signals according to any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the method for processing wide-azimuth seismic signals according to any one of claims 1 to 5 when executed.

Citation Information

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