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

Abstract

The present application relates to a kind of multi-domain denoising method, device, storage medium and equipment.The method comprises the following steps: S1, obtaining original gather.S2, original gather is carried out multi-domain wave field transformation.S3, the gather data in each information processing domain is respectively carried out specific interference wave elimination.S4, after the gather of interference wave elimination, wave field is reversed and all gather data after wave field reversal is merged to form optimized gather.Can reduce the error of different domain multiple denoising, improve original gather denoising precision, improve data quality, more in line with actual geological conditions, can provide reliable basis for exploration deployment.

Description

Technical Field

[0001] This invention relates to the field of oil and gas exploration and research technology, mainly targeting pre-stack gather noise, and particularly to a multi-domain primary noise reduction method, apparatus, storage medium and equipment. Background Technology

[0002] Seismic data processing is a crucial step in seismic exploration, and suppressing noise and improving the signal-to-noise ratio of seismic data are key aspects of this process. Different types of noise have varying generation conditions, frequencies, and amplitudes. Therefore, different denoising methods must be used for different types of noise, addressing various noise types from a multi-domain perspective. However, traditional denoising methods are no longer sufficient for practical production needs.

[0003] Currently, relevant denoising methods are mainly divided into several categories: (I) One-dimensional frequency domain filtering: The seismic record is converted from the time domain to the frequency domain through Fourier transform, and after noise removal, the denoised signal is transformed back to the time domain through inverse Fourier transform; (II) Two-dimensional digital filtering: This includes FK domain (frequency-wavenumber domain) filtering, τ-p domain filtering (Tau-P domain), FX domain prediction filtering, and FX domain fitting filtering. Two-dimensional digital filtering is to convert the seismic record from the time domain to the FK domain, τ-p domain, or FX domain through two-dimensional Fourier transform, and after denoising, it is transformed back to the time domain through two-dimensional inverse Fourier transform; (III) Multi-domain joint denoising: The same data is converted to different domains to suppress different types of noise. In the denoising process, the data can first be subjected to median filtering in the spatiotemporal domain, or the data can be converted to the FK domain for FK filtering, or the data can be converted to the FX domain for FX fitting filtering to remove linear interference. Then, the data after removing linear interference is converted back to the FX domain and random noise is removed using FX prediction filtering. Alternatively, random noise can be removed first, and then linear interference can be suppressed.

[0004] One-dimensional frequency domain filtering considers the frequency difference between the effective signal and noise, but it cannot independently filter out all interference waves. This is because sometimes interference waves and effective waves overlap, and some interference waves and effective waves have differences in the spectrum, while others do not. In particular, the frequency difference between shallow reflection waves and reflected waves is very small. Therefore, one-dimensional frequency domain filtering needs to use other methods to improve the signal-to-noise ratio of seismic records. Two-dimensional digital filtering not only considers the frequency difference between the effective signal and noise, but also the differences between them in apparent velocity, propagation direction, etc., which can make up for the shortcomings of one-dimensional filtering. For example, there is a large difference between reflected waves and some linear interference waves in the FK domain. τ-q domain denoising technology can maintain high resolution and fidelity and can better perform pre-stack denoising. The FX domain fitting denoising method uses the least squares method to obtain fitting values ​​that can closely approximate the true values ​​of seismic data, and has a significant effect on suppressing linear and approximately linear noise. FX domain predictive filtering has a good effect on suppressing random noise, but two-dimensional digital filtering methods still have many shortcomings. For example, FK filtering is a global filter, which significantly damages the effective wave during processing and has high requirements for filter parameters. If the parameters are selected incorrectly, the entire waveform will be distorted. At the same time, FK filtering will produce secondary interference, such as the ringing phenomenon and worming phenomenon at the boundary. τ-q domain denoising technology only has a good denoising effect when there is no cross-aliasing between the effective signal and noise. The prerequisite for FX domain fitting denoising method is that the sampling interval is small enough and it must be white noise. If the conditions are not met, the "worming" phenomenon will occur, and the profile will become more blurred. The premise of FX domain predictive filtering is that the effective signal is coherent, linear or approximately linear and predictable. However, it assumes that the noise is unrelated and unpredictable. When the noise has strong coherence, FX domain predictive filtering cannot achieve the ideal denoising effect. Multi-domain joint denoising can remove linear noise and random interference, demonstrating strong noise suppression capabilities. However, this method essentially involves removing different types of noise in different domains, resulting in multiple denoising operations. Since the degree of difference between noise and the effective signal varies across domains, multiple denoising operations can lead to the erroneous removal of the effective signal, thus reducing fidelity. The diversity of noise types and the magnitude of the difference between noise and the effective signal in different domains make effective noise removal challenging. Effectively filtering out interference and highlighting the effective signal is crucial for 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 primary noise reduction method, apparatus, storage medium and device that address the shortcomings of traditional noise reduction methods in accurately removing gather noise and effectively suppressing multiple waves.

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

[0007] S1. Obtain the original Dao set;

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

[0009] S3. Perform specific interference wave removal on the gather data in each information processing domain;

[0010] S4. Perform inverse wave field transformation on the gathers after removing interference waves, and merge all gather data after inverse wave field transformation to form an optimized gather.

[0011] Furthermore, in the multi-domain single-pass denoising method described in this invention, the method further includes:

[0012] S5. Based on the preset denoising effect standard, determine whether the denoising effect of the optimized collection meets the standard; if yes, then end; if no, then repeat steps S2 to S4.

[0013] Furthermore, in the multi-domain single-pass denoising method described in this invention, the preset denoising effect standard includes:

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

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

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

[0017] When the optimized feed satisfies both condition 1 and condition 2, it is determined that the denoising effect of the optimized feed meets the standard.

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

[0019] The original gather is transformed from the time-space domain to the frequency-wavenumber domain, frequency-time domain, and frequency-space domain respectively by using two-dimensional Fourier transform.

[0020] Furthermore, in the multi-domain single-pass denoising method described in this invention, step S3 includes:

[0021] 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, so as to identify the corresponding interference waves and remove them.

[0022] Furthermore, in the multi-domain single-pass denoising method of the present invention, step S4, which involves performing an inverse wavefield transformation on the gather after interference wave removal, includes:

[0023] By using the two-dimensional inverse Fourier transform, the gather after removing interference waves 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 noise reduction device, comprising:

[0025] Acquisition unit, used to acquire the original collection of data;

[0026] A wavefield transformation unit is used to perform multi-domain wavefield transformation on the original gather.

[0027] The noise reduction unit is used to remove specific interference waves from the gather data in each information processing domain.

[0028] The processing unit is used to perform inverse wavefield transformation on the gathers after removing interference waves, and to merge all gather data after inverse wavefield transformation to form an optimized gather.

[0029] In addition, the present invention provides a computer-readable storage medium storing a computer program adapted for loading by a processor to perform the steps of the multi-domain one-time denoising method described above.

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

[0031] The multi-domain single-pass denoising method, apparatus, storage medium, and device of the present invention have the following beneficial effects: The present invention solves the problem that traditional denoising methods are difficult to achieve accurate removal of gather noise and effective suppression of multiple waves, can reduce the error of multiple denoising in different domains, improve the denoising accuracy of the original gather, improve data quality, better conform to the actual geological conditions, and can provide a reliable basis for exploration deployment. Attached Figure Description

[0032] The present invention will be further described below with reference to the accompanying drawings and embodiments. In the accompanying drawings:

[0033] Figure 1 This is a flowchart illustrating the multi-domain single-pass denoising method provided in an embodiment of the present invention;

[0034] Figure 2 This is a flowchart illustrating the multi-domain single-pass denoising method provided in an embodiment of the present invention;

[0035] Figure 3 This is a schematic diagram of the multi-domain wavefield transformation of the original gather from the time-space domain to the FK domain, TF domain and FX domain in the multi-domain one-step denoising method of the present invention;

[0036] Figure 4 This is a diagram showing the optimization effect of the gather using conventional multiple denoising methods;

[0037] Figure 5 This is a diagram showing the optimization effect of the gather using the multi-domain one-time denoising method of this invention;

[0038] Figure 6 This is a comparison of the AVO characteristic curves of the optimized gather and the original gather in the multi-domain one-time denoising method of this invention;

[0039] Figure 7 This is a schematic diagram of the structure of the multi-domain primary noise reduction device provided in an embodiment of the present invention. Detailed Implementation

[0040] To provide a clearer understanding of the technical features, objectives, and effects of the present invention, specific embodiments of the invention are now described in detail with reference to the accompanying drawings. In the following description, it should be understood that the orientations or positional relationships indicated by terms such as "front," "rear," "upper," "lower," "left," "right," "longitudinal," "horizontal," "vertical," "horizontal," "top," "bottom," "inner," "outer," "head," and "tail" are based on the orientations or positional relationships shown in the accompanying drawings, and are constructed and operated in a specific orientation. They are only for the convenience of describing the technical solution and do not indicate that the device or element referred to must have a specific orientation; therefore, they should not be construed as limitations on the present invention. The terms "first," "second," and "third," etc., are only for the convenience of describing the technical solution and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, features defined with "first," "second," and "third," etc., may explicitly or implicitly include one or more of that feature. Those skilled in the art can understand the specific meaning of the above terms in the present invention according to the specific circumstances.

[0041] In the following description, specific details such as particular system architectures and techniques are set forth for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of the invention. However, those skilled in the art will understand that the invention can be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, apparatuses, circuits, and methods are omitted so as not to obscure the description of the invention with unnecessary detail.

[0042] refer to Figure 1 In a preferred embodiment, the multi-domain single-pass denoising method of this embodiment includes the following steps:

[0043] S1. Obtaining Raw Gathers. Raw gathers, also known as pre-stack gathers, refer to the set of seismic data that has not yet undergone pre-stack migration processing during seismic data processing. These data contain seismic reflection signals acquired from different angles and locations. Pre-stack gather noise refers to interference signals present in the pre-stack gathers. This noise may include: Random noise: Irregular, 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 a certain regularity, such as surface rolling waves and side waves. Environmental noise: Noise caused by external environmental factors, such as wind and traffic.

[0044] S2. Perform multi-domain wavefield transformation on the original gather. It can be understood that interference waves (noise) exhibit different characteristics in different domains. For example, some specific interferences can only be identified in the FX domain, while others can only be identified in the FK domain. This wavefield transformation step transforms the original data to different domains to facilitate noise identification. Specifically, in this step, a two-dimensional Fourier transform can be used to transform the original gather from the time-space domain to the frequency-wavenumber domain, the frequency-time domain, and the frequency-space domain, respectively.

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

[0046] S3. Perform specific interference wave removal on the gather data in each information processing domain. Specifically, this step extracts interference wave time windows 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 and remove the corresponding interference waves.

[0047] Interference wave time windows can be understood as time ranges defined in seismic records based on the arrival time and duration of interfering waves. Within this time range, the seismic record is primarily affected by specific types of interfering waves, while the characteristics of the target signal (such as reflected waves) may be masked or interfered with. The arrival time refers to the time it takes for the interfering wave to travel from the excitation source to the receiver. The duration refers to the length of time the interfering wave exists in the record. By defining interference wave time windows, it is possible to identify which time periods primarily contain interfering waves, thus aiding in the identification and analysis of their characteristics. Smoothing interference wave time windows involve moving the interference wave time window forward one unit at a time, identifying interfering waves (i.e., noise) that differ from the effective wave during the smoothing process, and removing any identified interfering waves.

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

[0049] It is understood that in this embodiment of the invention, the original gather data is input, and the effective wave and interference wave are distinguished and analyzed. Through two-dimensional Fourier transform, the original gather data is transformed from the time domain to the FK domain (frequency-wavenumber domain), TF domain (frequency-time domain), and FX domain (frequency-spatial domain), respectively. Interference wave time windows are extracted and smoothed in the FK, TF, and FX domains, eliminating the influence of amplitude and time within the time windows, and noise is removed once based on FTX. Through two-dimensional inverse Fourier transform, the denoised gather data is inversely transformed from the FK, TF, and FX domains back to the time domain, and optimized gather data is formed through data merging. Compared to conventional denoising methods that first denoise in the FK domain, then in the TF and FX domains (a series denoising process), which has the disadvantage of requiring three denoising operations and potentially damaging the original signal, the FTX method of this invention first transforms the original gather data to the three domains, performs denoising in each domain, and then transforms it back to the original data for judgment and merging, essentially performing a parallel denoising operation.

[0050] This embodiment solves the problem that traditional denoising methods struggle to accurately remove gather noise and effectively suppress multiple waves. It reduces errors from multiple denoising operations across different domains, improves the denoising accuracy of the original gather, enhances data quality, and better reflects actual geological conditions, providing a reliable basis for exploration deployment. It also features simplicity, practicality, and high operability.

[0051] refer to Figure 2In some embodiments, the method further includes: S5, determining whether the denoising effect of the optimized gather meets the preset denoising effect standard. If yes, the process ends. If no, steps S2 to S4 are re-executed. Specifically, the preset denoising effect standard includes: Condition 1: The signal-to-noise ratio of the optimized gather is higher than the signal-to-noise ratio 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 a preset deviation range. When the optimized gather simultaneously meets both Condition 1 and Condition 2, the denoising effect of the optimized gather is determined to meet the standard. It can be understood that the AVO characteristic curve refers to the characteristic of the seismic reflection amplitude changing with the offset distance. 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 one specific implementation, the input raw gather data shows that the original pre-stack gathers in the study area contain regular interference such as low-frequency multiples and dynamic stretching distortion, as well as high-frequency random interference. Through two-dimensional Fourier transform, the raw gathers are transformed from the time domain to the FK domain (frequency-wavenumber domain), TF domain (frequency-time domain), and FX domain (frequency-spatial domain), respectively. Figure 3 As shown, Figure 3 This diagram illustrates the transformation of the original gather from the time-space domain to the multi-domain wavefields of the FK, TF, and FX domains. Interference wave time windows are extracted and smoothed in the FK, TF, and FX domains respectively. Within these time windows, the effects of amplitude and time are eliminated, and noise is removed once based on FTX. The optimized gather performance based on FTX multi-domain single-stage denoising is analyzed. Comparison with conventional multiple-stage denoising methods reveals that while conventional methods remove linear interference, random noise still exists, such as… Figure 4 As shown, Figure 4 The image shows the optimization effect of a gather using a conventional multi-stage denoising method. After single-stage denoising based on FTX multi-domain methods, regular interferences such as low-frequency multiples, dynamic stretching distortion, and high-frequency random interference are effectively removed. Previously noise-covered in-phase axes become visible, with better continuity and significantly reduced discontinuities. The quality of the original gather improves, and the signal-to-noise ratio increases. Compared to traditional denoising methods, the FTX multi-domain single-stage denoising method removes noise more thoroughly. Figure 5 As shown, Figure 5 The diagram shows the effect of gather optimization using the multi-domain single-pass denoising method of this invention. Furthermore, by comparing the AVO characteristic curves of the original gather with those of the gather based on FTX multi-domain single-pass denoising, it is found that the signal-to-noise ratio of the gather after FTX multi-domain single-pass denoising is significantly improved. At the same time, the AVO relationship of the denoised gather remains consistent with that of the original gather, or its consistency is within an allowable preset deviation range. Figure 6 As shown, Figure 6The diagram shows a comparison of the AVO characteristic curves of the optimized gather and the original gather, illustrating that the FTX multi-domain one-time denoising process is relatively accurate and reliable, and does not require reprocessing, so the process can be exited.

[0053] This embodiment can be effectively applied to the removal of noise from raw gathers, reducing denoising errors and improving the signal-to-noise ratio (SNR) of the gathers. For areas with low SNR and multiple wave interference, it can effectively improve the SNR of gathers, which is helpful for subsequent reservoir prediction. This invention fully considers the differences in the prominence of different noises in different domains, analyzes the types and characteristics of noise in different domains, and extracts the time windows of interference waves in different domains, avoiding the problem of incomplete denoising in a single domain. It forms a multi-domain single-pass denoising technique based on FTX, which performs multi-domain simultaneous single-pass denoising based on the determined time windows of interference waves in each domain. Compared with traditional methods of multiple denoising in different domains, this method reduces the damage to the effective signal caused by multiple denoising, significantly improves the accuracy of pre-stack gather noise removal, and is more consistent with actual geological conditions. This invention is highly operable, intuitive and clear in its identification, and has high application value. Its method steps can be easily extended and applied to the processing of gather noise and multiple waves.

[0054] In another preferred embodiment, reference Figure 7 The multi-domain primary noise reduction device in this embodiment includes:

[0055] Acquisition unit, used to acquire the original collection of scriptures.

[0056] The wavefield transformation unit is used to perform multi-domain wavefield transformation on the original gather.

[0057] The denoising unit is used to remove specific interference waves from the gather data in each information processing domain.

[0058] The processing unit is used to perform inverse wavefield transformation on the gathers after removing interference waves, and to merge all gather data after inverse wavefield transformation to form an optimized gather.

[0059] This embodiment solves the problem that traditional denoising methods are difficult to achieve accurate removal of gather noise and effective suppression of multiple waves. It can reduce the error of multiple denoising in different domains, improve the denoising accuracy of the original gather, improve data quality, better reflect the actual geological conditions, and provide a reliable basis for exploration deployment.

[0060] In another preferred embodiment, the computer-readable storage medium of this embodiment stores a computer program adapted for loading by a processor to perform the steps of the multi-domain one-time denoising method as described in the above embodiments.

[0061] In another preferred embodiment, the computer device of this embodiment includes a memory and a processor. The memory stores a computer program, and 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 any computer-readable storage medium capable of storing program code, such as a USB flash drive, a portable hard drive, a read-only memory (ROM), a magnetic disk, or an optical disk.

[0063] The processor of this invention provides computing and control capabilities to support the operation of the entire device. It should be understood that, in the embodiments of this application, the processor may be a Central Processing Unit (CPU), but it can 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. The general-purpose processor may be a microprocessor or any conventional processor.

[0064] Those skilled in the art will further recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software 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 implementations should not be considered beyond the scope of this invention.

[0065] The steps of the methods or algorithms described in conjunction with the embodiments disclosed herein can be implemented directly by hardware, a software module executed by a processor, or a combination of both. The software module can be located in random access memory (RAM), main 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 art.

[0066] It is understood that the above embodiments only illustrate preferred embodiments of the present invention, and their descriptions are relatively specific and detailed, but they should not be construed as limiting the scope of the present invention. It should be noted that those skilled in the art can freely combine the above technical features without departing from the concept of the present invention, and can also make several modifications and improvements, all of which fall within the protection scope of the present invention. Therefore, all equivalent transformations and modifications made with respect to the scope of the claims of the present invention should fall within the scope of the claims of the present invention.

Claims

1. A multi-domain single-pass denoising method, characterized in that, Includes the following steps: S1. Obtain the original Dao set; S2. Perform multi-domain wavefield transformation on the original gather; S3. Perform specific interference wave removal on the gather data in each information processing domain; S4. Perform inverse wave field transformation on the gathers after removing interference waves, and merge all gather data after inverse wave field transformation to form an optimized gather.

2. The multi-domain single-pass denoising method according to claim 1, characterized in that, The method also includes: S5. Based on the preset denoising effect standard, determine whether the denoising effect of the optimized collection meets the standard; if yes, then end; if no, then repeat steps S2 to S4.

3. The multi-domain single-pass denoising method according to claim 2, characterized in that, The preset noise reduction effect standards include: Condition 1: The signal-to-noise ratio of the optimized feed is higher than that of the pre-stored conventional optimized feed; Condition 2: The consistency between the AVO characteristic curve of the original gather and the AVO characteristic curve of the optimized gather is within a preset deviation range.

4. The multi-domain single-pass denoising method according to claim 3, characterized in that, Step S5 includes: When the optimized feed satisfies both condition 1 and condition 2, it is determined that the denoising effect of the optimized feed meets the standard.

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

6. The multi-domain single-pass denoising method according to claim 1, characterized in that, Step S3 includes: 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, so as to identify the corresponding interference waves and remove them.

7. The multi-domain single-pass denoising method according to claim 1, characterized in that, Step S4, which involves performing an inverse wavefield transformation on the gather after interference wave removal, includes: By using the two-dimensional inverse Fourier transform, the gather after removing interference waves is transformed from the frequency-wavenumber domain, frequency-time domain, and frequency-space domain to the time-space domain.

8. A multi-domain single-pass noise reduction device, characterized in that, include: Acquisition unit, used to acquire the original collection of data; A wavefield transformation unit is used to perform multi-domain wavefield transformation on the original gather. The noise reduction unit is used to remove specific interference waves from the gather data in each information processing domain. The processing unit is used to perform inverse wavefield transformation on the gathers after removing interference waves, and to merge all gather data after inverse wavefield transformation to form an optimized gather.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program adapted for loading by a processor to perform the steps of the multi-domain one-time denoising method as described in any one of claims 1 to 7.

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

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