Multi-domain one-time denoising method and device, storage medium and equipment

Abstract

The invention relates to a multi-domain one-time denoising method and device, a storage medium and equipment. The method comprises the following steps: S1, acquiring an original gather; s2, performing multi-domain wave field transformation on the original gather; and S3, performing specific interference wave elimination on the gather data in each information processing domain. And S4, carrying out wave field inverse transformation on the gather after the interference waves are removed, and carrying out merging processing on all gather data after the wave field inverse transformation to form an optimized gather. The method can reduce the error of multi-time denoising of different domains, improves the denoising precision of the original gather, improves the data quality, better accords with the actual geological condition, and can provide a reliable basis for exploration deployment.

Description

Technical Field

[0001] The present invention relates to the technical field of oil and gas exploration research, and mainly aims at pre-stack gather noise, and particularly relates to a multi-domain one-time denoising method, device, storage medium and equipment. Background Art

[0002] Seismic data processing is a very important step in seismic exploration. Suppressing noise and improving the signal-to-noise ratio of seismic data are the keys to seismic data processing. Different types of noise have different generation conditions, frequency amplitudes and other characteristics. Therefore, different denoising methods should be used for different noises, and various noises should be removed from the multi-domain perspective. However, the traditional denoising methods can no longer meet the actual production needs.

[0003] Currently, the related denoising methods are mainly divided into several categories: (1) One-dimensional frequency domain filtering: The seismic record is transformed from the time domain to the frequency domain through Fourier transform. After removing the noise, the denoised signal is transformed back to the time domain through inverse Fourier transform; (2) Two-dimensional digital filtering: including F-K domain (frequency-wavenumber domain) filtering, τ-p domain filtering (Tau-P domain), F-X domain predictive filtering and F-X domain fitting filtering. Two-dimensional digital filtering transforms the seismic record from the time domain to the F-K domain, τ-p domain or F-X domain through two-dimensional Fourier transform, and after denoising, it is transformed back to the time domain through two-dimensional inverse Fourier transform; (3) Multi-domain joint denoising: The same data is transformed into different domains to suppress different types of noise. During the denoising process, the data can be first median-filtered in the spatio-temporal domain, or the data can be transformed into the F-K domain for F-K filtering, or the data can be transformed into the F-X domain for F-X fitting filtering to remove linear interference, and then the data after removing linear interference is transformed into the F-X domain to use the F-X predictive filtering method to remove random noise. It is also possible to remove random noise first and then suppress linear interference.

[0004] One-dimensional frequency-domain filtering takes into account the frequency differences between the effective signal and the noise, but it cannot independently shoulder the heavy responsibility of filtering out all interfering waves. This is because sometimes the interfering waves and the effective waves overlap, and some interfering waves and effective waves have differences in the frequency spectrum, while some do not. Especially, the frequency differences between the shallow reflected waves and the reflected waves are very small. Therefore, other methods need to be adopted in one-dimensional frequency-domain filtering to improve the signal-to-noise ratio of seismic records. Two-dimensional digital filtering not only considers the frequency differences between the effective signal and the noise, but also takes into account the differences in apparent velocity, propagation direction, etc. between the two, which can make up for the deficiencies of one-dimensional filtering. For example, there are significant differences between the reflected waves and some linear interfering waves in the F-K domain; the denoising technology in the τ-q domain can maintain high resolution and fidelity and can better perform pre-stack denoising; the fitting denoising method in the F-X domain can well approximate the true value of seismic data by using the least square difference method, and has obvious suppression effects on linear and approximately linear noise; while the predictive filtering in the F-X domain has a relatively good suppression effect on random noise, but there are still many deficiencies in two-dimensional digital filtering methods. For example, F-K filtering belongs to global filtering, which causes great damage to the effective waves during processing and has high requirements for the parameters of the filter. If the parameter selection is incorrect, it will cause distortion of the entire waveform. At the same time, F-K filtering will generate secondary interference, such as the surrounding phenomenon and worming phenomenon at the boundary; the denoising technology in the τ-q domain has a better denoising effect only when there is no cross-mixing between the effective signal and the noise; the premise of the fitting denoising method in the F-X domain is that the sampling interval is small enough and must be white noise. When the conditions are not met, the "worming" phenomenon will occur and the profile will become more blurred; the premise of the predictive filtering in the F-X domain is that the effective signal has coherence, is linear or approximately linear and can be predicted, while it is assumed that there is no connection between the noises and they cannot be predicted. When the noises have a certain degree of coherence, using the predictive filtering in the F-X domain cannot achieve the ideal denoising effect. Multi-domain joint denoising can remove linear noise and random interference and has a strong ability to suppress noise. However, the essence of this method is still to remove different noises in different domains and perform denoising multiple times. The degree of difference between the noise and the effective signal in different domains is different, and multiple denoising will cause incorrect removal of the effective signal. Therefore, it will cause a reduction in fidelity. The diversification of noise types and the differences in the noise and the effective signal in different domains make it difficult to effectively remove noise. How to effectively filter out interference and highlight the effective signal is the key to improving the signal-to-noise ratio of seismic data. Summary of the Invention

[0005] The technical problem to be solved by the present invention is to provide a multi-domain one-time denoising method, device, storage medium and equipment in view of the defects that the traditional denoising method is difficult to accurately remove the noise in the trace gather and effectively suppress the multiple waves.

[0006] The technical solution adopted by the present invention to solve its technical problems is: a multi-domain one-time denoising method, including the following steps:

[0007] S1. Obtain the original gather;

[0008] S2. Perform multi - domain wavefield transformation on the original gather;

[0009] S3. Remove specific interfering waves from the gather data in each information processing domain respectively;

[0010] S4. Perform wavefield inverse transformation on the gather after removing interfering waves, and merge all the gather data after wavefield inverse transformation to form an optimized gather.

[0011] Furthermore, in the multi - domain one - time denoising method of the present invention, the method further includes:

[0012] S5. According to the preset denoising effect standard, determine whether the denoising effect of the optimized gather meets the standard; if so, end; if not, re - execute steps S2 to S4.

[0013] Furthermore, in the multi - domain one - time denoising method of the present invention, the preset denoising effect standard includes:

[0014] Condition 1: The signal - to - noise ratio of the optimized gather is higher than that of the pre - stored conventional optimized gather;

[0015] Condition 2: The consistency between the AVO characteristic curve of the original gather and that of the optimized gather is within the preset deviation range.

[0016] Furthermore, in the multi - domain one - time denoising method of the present invention, step S5 includes:

[0017] When the optimized gather simultaneously meets Condition 1 and Condition 2, it is determined that the denoising effect of the optimized gather meets the standard.

[0018] Furthermore, in the multi - domain one - time denoising method of the present invention, step S2 includes:

[0019] Through two - dimensional Fourier transform, transform the original gather from the time - space domain to the frequency - wavenumber domain, frequency - time domain and frequency - space domain respectively.

[0020] Furthermore, in the multi - domain one - time denoising method of the present invention, step S3 includes:

[0021] Extract the interfering wave time windows in the frequency - wavenumber domain, frequency - time domain and frequency - space domain respectively, and by smoothing the interfering wave time windows, eliminate the influence of amplitude and time within the interfering wave time windows to identify the corresponding interfering waves and remove them.

[0022] Further, in the multi-domain primary denoising method of the present invention, in the wavefield inverse transformation of the gather after interference wave rejection in step S4, it includes:

[0023] Through two-dimensional inverse Fourier transform, the gather after interference wave rejection is transformed from the frequency-wavenumber domain, frequency-time domain, and frequency-space domain to the time-space domain.

[0024] In addition, the present invention also provides a multi-domain primary denoising device, including:

[0025] An acquisition unit, configured to acquire the original gather;

[0026] A wavefield transformation unit, configured to perform multi-domain wavefield transformation on the original gather;

[0027] A denoising unit, configured to separately perform specific interference wave rejection on the gather data in each information processing domain;

[0028] A processing unit, configured to perform wavefield inverse transformation on the gather after interference wave rejection, and merge and process all the gather data after wavefield inverse transformation to form an optimized gather.

[0029] In addition, the present invention also provides a computer-readable storage medium, which stores a computer program, and the computer program is suitable for being loaded by a processor to execute the steps of the multi-domain primary denoising method as described above.

[0030] In addition, the present invention also provides a computer device, including a memory and a processor, where the memory stores a computer program, and the processor executes the steps of the multi-domain primary denoising method as described above by calling the computer program stored in the memory.

[0031] Implementing the multi-domain primary denoising method, device, storage medium, and equipment of the present invention has the following beneficial effects: The present invention solves the problem that it is difficult for traditional denoising methods to accurately remove gather noise and effectively suppress multiple waves, can reduce the error of multi-domain denoising, improve the denoising accuracy of the original gather, improve the data quality, be more in line with the actual geological situation, and can provide a reliable basis for exploration deployment. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] The present invention will be further described below in conjunction with the drawings and embodiments. In the drawings:

[0033] Figure 1 is a schematic flowchart of the multi-domain primary denoising method provided by an embodiment of the present invention;

[0034] Figure 2 is a schematic flowchart of the multi-domain primary denoising method provided by an embodiment of the present invention;

[0035] Figure 3 It is a multi-domain wavefield schematic diagram of the original gather in the multi-domain one-time denoising method of the present invention when it is transformed from the time-space domain to the F-K domain, T-F domain, and F-X domain;

[0036] Figure 4 It is the effect diagram of gather optimization using the conventional multiple denoising method;

[0037] Figure 5 It is the effect diagram of gather optimization using the multi-domain one-time denoising method of the present invention;

[0038] Figure 6 It is the comparison diagram of AVO characteristic curves between the optimized gather and the original gather in the multi-domain one-time denoising method of the present invention;

[0039] Figure 7 It is the structural schematic diagram of the multi-domain one-time denoising device provided by the embodiment of the present invention. Detailed implementation manners

[0040] For a clearer understanding of the technical features, objectives, and effects of the present invention, the specific implementation manners of the present invention will now be described in detail with reference to the accompanying drawings. In the following description, it should be understood that the orientation or positional relationships indicated by "front", "rear", "upper", "lower", "left", "right", "longitudinal", "transverse", "vertical", "horizontal", "top", "bottom", "inner", "outer", "head", "tail", etc. are based on the orientation or positional relationships shown in the accompanying drawings and are constructed and operated in a specific orientation, and are only for the convenience of describing the technical solution of the present application, rather than indicating that the device or element referred to must have a specific orientation, and thus should not be construed as a limitation to the present invention. The terms "first", "second", "third", etc. are only for the convenience of describing the technical solution of the present application, and cannot be understood as indicating or implying relative importance or implicitly indicating the quantity of the indicated technical features. Thus, the features defined with "first", "second", "third", etc. may explicitly or implicitly include one or more of such features. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0041] In the following description, specific details such as specific system structures and technologies are proposed for the purpose of illustration rather than limitation, so as to thoroughly understand the embodiments of the present invention. However, those skilled in the art should clearly understand that the present invention can also be implemented in other embodiments without these specific details. In other cases, the detailed descriptions of well-known systems, devices, circuits, and methods are omitted to avoid unnecessary details from interfering with the description of the present invention.

[0042] Refer to Figure 1 , in a preferred embodiment, the multi-domain one-time denoising method of this embodiment includes the following steps:

[0043] S1. Obtain the original gather. It can be understood that the original gather, that is, the pre-stack gather, refers to the set of seismic data that has not been processed by pre-stack migration in seismic data processing. These data contain seismic reflection signals collected from different angles and positions. The pre-stack gather noise refers to the interference signals existing in the pre-stack gather. These noises may include: Random noise: Irregular and randomly distributed noise, usually related to instrument noise and environmental interference. Multiple wave noise: Noise caused by multiple reflected waves that reach the receiver after multiple reflections underground. Coherent noise: Noise with certain regularity, such as ground roll waves, side waves, etc. Environmental noise: Noise caused by external environmental factors, such as wind, traffic, etc.

[0044] S2. Perform multi-domain wavefield transformation on the original gather. It can be understood that interference waves (noises) have different characteristics in different domains. For example, some specific interferences can only be identified in the F-X domain, and some can only be identified in the F-K domain. The wavefield transformation in this step is to transform the original data into different domains respectively for noise identification. Specifically, in this step, through two-dimensional Fourier transform, the original gather can be transformed from the time-space domain to the frequency-wavenumber domain, frequency-time domain, and frequency-space domain respectively.

[0045] In some embodiments, the obtained original gather data can also be distinguished between effective waves and interference waves and analyzed to clarify the types and characteristics of the interference waves. Clarifying the types and wavefield characteristics of the interference waves in the original gather can help users focus on the elimination effect of specific interference waves in a specific domain during the denoising process.

[0046] S3. Remove specific interference waves from the gather data in each information processing domain respectively. Specifically, in this step, interference wave time windows are extracted in the frequency-wavenumber domain, frequency-time domain, and frequency-space domain respectively. By smoothing the interference wave time windows, the influence of amplitude and time is eliminated within the interference wave time windows to identify the corresponding interference waves and remove them.

[0047] It can be understood that the interference wave time window refers to a time range defined in a seismic record based on the arrival time and duration of interference waves. Within this time range, the seismic record is mainly affected by specific types of interference waves, and the characteristics of the target signal (such as the reflected wave) may be masked or interfered with. Among them, the arrival time refers to the time when the interference wave arrives at the receiver from the excitation source. The duration refers to the length of time the interference wave exists in the record. By defining the interference wave time window, it is possible to clarify which time periods the recorded signals are mainly interference waves, thereby helping to identify and analyze the characteristics of the interference waves. The smoothed interference wave time window means moving the interference wave time window forward one by one for each specific unit. During the smoothing process, interference waves (i.e., noise) different from the effective wave are identified, and the elimination operation is performed when the interference wave is identified.

[0048] S4. Perform wavefield inverse transformation on the trace gather after removing the interference waves, and merge all the trace gather data after the wavefield inverse transformation to form an optimized trace gather. Specifically, this step transforms the trace gather after removing the interference waves from the frequency-wavenumber domain, frequency-time domain, and frequency-space domain to the time-space domain through two-dimensional inverse Fourier transform.

[0049] It can be understood that in the embodiment of the present invention, the original trace gather data is input, and the effective wave and the interference wave are distinguished and analyzed. Through two-dimensional Fourier transform, the original trace gather is respectively transformed from the time domain to the F-K domain (frequency-wavenumber domain), T-F domain (frequency-time domain), and F-X domain (frequency-space domain). In the F-K domain, T-F domain, and F-X domain, the interference wave time window is extracted and smoothed respectively. The influence of amplitude and time is eliminated within the time window, and the noise is removed once based on FTX. Through two-dimensional inverse Fourier transform, the denoised trace gather is inversely transformed from the F-K domain, T-F domain, and F-X domain to the time domain, and the optimized trace gather is formed through data merging processing. Compared with the conventional denoising method, which first denoises in the F-K domain and then goes to the T-F domain and F-X domain, it is a series denoising process. The disadvantage of this method is that it needs to perform three denoising operations, which may damage the original signal. The FTX method of the present invention first transforms the original trace gather to three domains, denoises respectively in each domain, and then transforms back to the original data for judgment and merging, which is equivalent to a parallel one-time denoising.

[0050] This embodiment solves the problems that it is difficult for traditional denoising methods to accurately remove the noise of the trace gather and effectively suppress the multiple waves. It can reduce the errors of multiple denoising in different domains, improve the denoising accuracy of the original trace gather, improve the data quality, be more in line with the actual geological situation, and provide a reliable basis for exploration deployment. At the same time, it also has the characteristics of simplicity, practicality, and strong operability.

[0051] Reference Figure 2, in some embodiments, the method further includes: S5. Judging whether the denoising effect of the optimized gather meets the preset denoising effect standard. If so, end. If not, re-execute steps S2 to S4. Specifically, the preset denoising effect standard includes: Condition 1: The signal-to-noise ratio of the optimized gather is higher than that of the pre-stored conventional optimized gather. Condition 2: The consistency between the AVO characteristic curve of the original gather and that of the optimized gather is within the preset deviation range. When the optimized gather meets both Condition 1 and Condition 2, it is determined that the denoising effect of the optimized gather meets the standard. It can be understood that the AVO characteristic curve refers to the characteristic that the seismic reflection amplitude changes with the offset. By analyzing these curves or relationships, the physical properties of underground rocks can be inferred and used for noise identification and suppression in channel denoising.

[0052] In a specific embodiment, the original gather data is input. There are regular interferences such as low-frequency multiples and NMO stretch distortion, as well as high-frequency random interference in the original prestack gather in the study area. Through two-dimensional Fourier transform, the original gather is respectively transformed from the time domain to the F-K domain (frequency-wavenumber domain), T-F domain (frequency-time domain), and F-X domain (frequency-space domain), as Figure 3 shown Figure 3 is a multi-domain wavefield schematic diagram of the original gather transformed from the time-space domain to the F-K domain, T-F domain, and F-X domain. The interference wave time windows are respectively extracted and smoothed in the F-K domain, T-F domain, and F-X domain. The influence of amplitude and time is eliminated within the time window, and the noise is removed once based on FTX. Analyzing the effect of the optimized gather by multi-domain primary denoising based on FTX, it is found by comparing with the conventional multiple denoising method that the conventional multiple denoising method removes the linear interference, but the random noise still exists, as Figure 4 shown Figure 4 is the gather optimization effect diagram using the conventional multiple denoising method. After multi-domain primary denoising based on FTX, regular interferences such as low-frequency multiples and NMO stretch distortion, as well as high-frequency random interference, are effectively removed. The in-phase axis that was previously covered by noise appears, the continuity of the in-phase axis is better, and the discontinuity phenomenon is significantly improved. The quality of the original gather becomes better and the signal-to-noise ratio becomes higher. Compared with the traditional denoising method, the noise removed by the multi-domain primary denoising method based on FTX is more thorough, as Figure 5 shown Figure 5 shows the gather optimization effect diagram using the multi-domain primary denoising method of the present invention. At the same time, by comparing the AVO characteristic curves of the original gather and the gather after multi-domain primary denoising based on FTX, it is found that the signal-to-noise ratio of the gather after multi-domain primary denoising based on FTX is significantly improved. At the same time, the AVO relationship of the gather after denoising is consistent with that of the original gather or its consistency is within the allowable preset deviation range, as Figure 6 shown Figure 6It shows a comparison chart of the AVO characteristic curves between the optimized gather and the original gather of the present invention, indicating that the FTX multi-domain primary denoising processing result is relatively accurate and reliable, no reprocessing is required, and the processing flow can be exited.

[0053] This embodiment can be well applied to the removal of noise in the original gather, reduce denoising errors, and improve the signal-to-noise ratio of the gather. For areas with low signal-to-noise ratio and multiple wave interference, it can effectively improve the signal-to-noise ratio of the gather, which is helpful for later reservoir prediction. The present invention fully considers the differences in the prominence of different noises in different domains, respectively analyzes the types and characteristics of noises in different domains, and extracts the time windows of interfering waves in different domains, avoiding the problem of incomplete denoising in a single domain. A multi-domain primary denoising technique based on FTX is formed. On the basis of determining the time windows of interfering waves in each domain, multi-domain simultaneous primary denoising is carried out. Compared with the traditional method of multiple denoising in different domains, this method reduces the damage to effective signals caused by multiple denoising, greatly improves the accuracy of removing noise from the pre-stack gather, and is more in line with the actual geological situation. The present invention has strong operability, intuitive and clear identification, and has high application value. Its method steps can be easily promoted and applied to the processing of gather noise and multiple waves.

[0054] In another preferred embodiment, referring to Figure 7 , the multi-domain primary denoising device of this embodiment includes:

[0055] An acquisition unit for acquiring the original gather.

[0056] A wavefield transformation unit for performing multi-domain wavefield transformation on the original gather.

[0057] A denoising unit for respectively removing specific interfering waves from the gather data in each information processing domain.

[0058] A processing unit for performing wavefield inverse transformation on the gather after removing interfering waves, and merging and processing all the gather data after wavefield inverse transformation to form an optimized gather.

[0059] This embodiment solves the problem that it is difficult for traditional denoising methods to accurately remove gather noise and effectively suppress multiple waves, can reduce the errors of multiple denoising in different domains, improve the denoising accuracy of the original gather, improve data quality, and is more in line with the actual geological situation, and can provide a reliable basis for exploration deployment.

[0060] In another preferred embodiment, the computer-readable storage medium of this embodiment stores a computer program, and the computer program is suitable for being loaded by a processor to execute the steps of the multi-domain primary denoising method as described in the above embodiment.

[0061] In another preferred embodiment, the computer device of this embodiment includes a memory and a processor. A computer program is stored in the memory. The processor executes the steps of the multi-domain one-time denoising method as described in the above embodiment by calling the computer program stored in the memory.

[0062] The computer-readable storage medium of the present invention can be a USB flash drive, a mobile hard disk, a read-only memory (ROM), a magnetic disk, or an optical disc, etc., which are various computer-readable storage media that can store program codes.

[0063] The processor of the present invention is used to provide computing and control capabilities to support the operation of the entire device. It should be understood that in the embodiments of the present application, the processor may be a central processing unit (CPU), and the processor may also be 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. Among them, the general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0064] Those skilled in the art can further realize that the units and algorithm steps of each example described in combination with the embodiments disclosed in this article can be implemented by electronic hardware, computer software, or a combination of the two. To clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described according to functions in the above description. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present invention.

[0065] The steps of the method or algorithm described in combination with the embodiments disclosed in this article can be directly implemented by hardware, a software module executed by a processor, or a combination of the two. The software module can be placed in a random access memory (RAM), internal memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or any other form of storage medium known in the technical field.

[0066] It can be understood that the above embodiments only represent the preferred embodiments of the present invention. The description is relatively specific and detailed, but it should not be construed as a limitation on the scope of the patent for the present invention. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present invention, the above technical features can be freely combined, and several modifications and improvements can also be made, which all fall within the protection scope of the present invention. Therefore, all equivalent transformations and modifications made to the scope of the claims of the present invention shall fall within the scope covered by the claims of the present invention.

Claims

1. A multi-domain one-time denoising method, characterized in that It includes the following steps: S1. Obtain the original gather; S2. Perform multi-domain wavefield transformation on the original gather; S3. Remove specific interference waves from the gather data in each information processing domain respectively; S4. Perform wavefield inverse transformation on the gather after removing the interference waves, and merge all the gather data after the wavefield inverse transformation to form an optimized gather.

2. The multi-domain one-time denoising method according to claim 1, characterized in that, This method further includes: S5. According to the preset denoising effect standard, determine whether the denoising effect of the optimized gather meets the standard; if so, end; if not, re-execute steps S2 to S4.

3. The multi-domain one-time denoising method according to claim 2, wherein The preset denoising effect standard includes: Condition 1: The signal-to-noise ratio of the optimized gather is higher than that of the pre-stored conventional optimized gather; Condition 2: The consistency between the AVO characteristic curve of the original gather and the AVO characteristic curve of the optimized gather is within the preset deviation range.

4. The multi-domain one-time denoising method according to claim 3, characterized in that, Step S5 includes: When the optimized gather simultaneously meets Condition 1 and Condition 2, it is determined that the denoising effect of the optimized gather meets the standard.

5. The multi-domain one-time denoising method according to claim 1, characterized in that Step S2 includes: Through two-dimensional Fourier transform, transform the original gather from the time-space domain to the frequency-wavenumber domain, frequency-time domain, and frequency-space domain respectively.

6. The multi-domain one-time denoising method according to claim 1, wherein Step S3 includes: Extract the interference wave time window in the frequency-wavenumber domain, frequency-time domain, and frequency-space domain respectively, and by smoothing the interference wave time window, eliminate the influence of amplitude and time within the interference wave time window to identify the corresponding interference wave and remove it.

7. The multi-domain one-time denoising method according to claim 1, wherein In the wavefield inverse transformation of the gather after removing the interference wave in Step S4, it includes: Through two-dimensional inverse Fourier transform, transform the gather after removing the interference wave from the frequency-wavenumber domain, frequency-time domain, and frequency-space domain to the time-space domain.

8. A multi-domain one-time denoising device, characterized in that, It includes: An acquisition unit for acquiring the original gather; A wavefield transformation unit for performing multi-domain wavefield transformation on the original gather; A denoising unit for removing specific interference waves from the gather data in each information processing domain respectively; A processing unit for performing wavefield inverse transformation on the gather after removing the interference wave, and merging all the gather data after the wavefield inverse transformation to form an optimized gather.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program, and the computer program is suitable for being loaded by a processor to execute the steps of the multi-domain one-time denoising method according to any one of claims 1 to 7.

10. A computer device, characterized in that, It includes a memory and a processor. A computer program is stored in the memory, and the processor executes the steps of the multi-domain one-time denoising method according to any one of claims 1 to 7 by calling the computer program stored in the memory.

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