Energy compensation method and device for earth surface low signal-to-noise ratio data of loess tableland

Abstract

The invention relates to the field of seismic signal processing, and particularly discloses an energy compensation method and device for loess tableland surface low signal-to-noise ratio data, and the method comprises the steps: sequentially carrying out the index gain processing and surface consistency amplitude compensation of seismic data, and obtaining first data; performing signal-to-noise ratio improvement processing and OVT domain residual amplitude compensation on the first data in sequence to obtain second data; and performing energy consistency evaluation on the second data, and if the energy consistency does not meet the requirement, performing loop iteration processing on the second data as new first data until the energy consistency of the obtained second data meets the requirement. According to the method, on the basis of improving the signal-to-noise ratio of the seismic data, OVT domain residual amplitude compensation is carried out on effective signals, the signal-to-noise ratio and energy consistency of the seismic data are improved, the problem of seismic data energy transverse imbalance caused by the loess plateau surface can be well solved, and the energy consistency on the regional background is remarkably improved.

Description

Technical Field

[0001] The present invention relates to the field of seismic signal processing, and particularly to an energy compensation method and device for low signal-to-noise ratio data on the loess tableland surface. Background Art

[0002] There are huge differences in excitation and reception conditions on the loess tableland surface, with huge differences in signal-to-noise ratio and energy of the data. The "hanging noodle" phenomenon is serious on the pure wave section, and the energy consistency is extremely poor.

[0003] In the loess tableland area, the gullies and tablelands crisscross. The thickness of the loess on the tableland reaches several hundred meters, and the thickness of the loess in the gullies is from several meters to dozens of meters. The excitation and reception conditions vary greatly. The loess tableland surface causes two typical problems. First, the overall signal-to-noise ratio of the data is very low. The signal-to-noise ratio of a single shot excited on the tableland is extremely low, while the signal-to-noise ratio of a single shot excited in the gully is relatively high, and the difference in signal-to-noise ratio is very large. Second, the overall energy of the data is very weak. The energy of a single shot excited on the tableland is particularly weak, while the energy of a single shot excited in the gully is relatively strong, and the energy consistency is particularly poor. In terms of energy consistency processing, spherical spreading compensation or exponential gain is usually used to compensate for the energy attenuation during the propagation of seismic waves, and surface-consistent compensation is used to solve the energy differences between shots and between traces. This technology has achieved good results in many areas. However, in the loess tableland area, due to the huge differences in excitation and reception conditions, after processing with this technology, the energy consistency on the section is still very poor, and the "hanging noodle" phenomenon on the pure wave section is still serious. The energy attributes of the target layer more reflect the changes on the loess tableland surface and cannot reflect the variation law of the strata.

[0004] Based on this technical background, the present invention studies an energy compensation method and device for low signal-to-noise ratio data on the loess tableland surface. Summary of the Invention

[0005] Aiming at the deficiencies of the prior art, the present invention provides an energy compensation method and device for low signal-to-noise ratio data on the loess tableland surface. Based on improving the signal-to-noise ratio of seismic data, the method performs OVT domain residual amplitude compensation on effective signals, improves the signal-to-noise ratio and energy consistency of seismic data, can well solve the problem of lateral energy imbalance of seismic data caused by the loess tableland surface, significantly improves the energy consistency on the regional background, and restores the true energy relationship of the target layer.

[0006] To achieve the above object, the first aspect of the present invention provides an energy compensation method for low signal-to-noise ratio data on the loess tableland surface, including:

[0007] Performing exponential gain processing and surface-consistent amplitude compensation on seismic data in sequence to obtain first data;

[0008] Performing signal-to-noise ratio improvement processing and OVT domain residual amplitude compensation on the first data in sequence to obtain second data;

[0009] Perform energy consistency evaluation on the second data. If the energy consistency does not meet the requirements, use the current second data as the new first data for iterative processing until the energy consistency of the obtained second data meets the requirements.

[0010] The second aspect of the present invention provides an energy compensation device for low signal-to-noise ratio data on the loess tableland surface, including:

[0011] A basic processing compensation module for sequentially performing exponential gain processing and surface-consistent amplitude compensation on seismic data to obtain first data;

[0012] An optimization compensation module for sequentially performing signal-to-noise ratio improvement processing and OVT domain residual amplitude compensation on the first data to obtain second data;

[0013] An evaluation module for performing energy consistency evaluation on the second data. If the energy consistency does not meet the requirements, use the current second data as the new first data for iterative processing until the energy consistency of the obtained second data meets the requirements.

[0014] The third aspect of the present invention provides an electronic device, which includes:

[0015] A memory storing executable instructions;

[0016] A processor that runs the executable instructions in the memory to implement the energy compensation method for low signal-to-noise ratio data on the loess tableland surface described in the first aspect.

[0017] The fourth aspect of the present invention provides a computer-readable storage medium storing a computer program, which when executed by a processor implements the energy compensation method for low signal-to-noise ratio data on the loess tableland surface described in the first aspect.

[0018] The beneficial effects of the present invention include:

[0019] (1) The energy compensation method for low signal-to-noise ratio data on the loess tableland surface proposed by the present invention is based on improving the signal-to-noise ratio of seismic data, performs OVT domain residual amplitude compensation on effective signals, improves the signal-to-noise ratio and energy consistency of seismic data, can well solve the problem of lateral energy imbalance of seismic data caused by the loess tableland surface, significantly improves the energy consistency on the regional background, and restores the true energy relationship of the target layer.

[0020] (2) The energy compensation method for low signal-to-noise ratio data on the loess tableland surface proposed by the present invention can significantly improve the signal-to-noise ratio of seismic data, significantly improve the signal-to-noise ratio consistency, significantly improve the lateral energy consistency, and well solve the imbalance of effective signal energy by performing cyclic iterative processing on the amplitude compensation data.

[0021] Other features and advantages of the present invention will be described in detail in the following specific implementation section. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] By describing the exemplary embodiments of the present invention in more detail in conjunction with the drawings, the above and other objects, features, and advantages of the present invention will become more apparent.

[0023] Figure 1 It is a schematic flow chart of the energy compensation method for low signal-to-noise ratio data on the loess tableland surface proposed by the present invention.

[0024] Figure 2 It is a conventional energy compensation flow chart in a specific implementation manner of the energy compensation method for low signal-to-noise ratio data on the loess tableland surface proposed by the present invention.

[0025] Figure 3 It is a schematic flow chart of a specific implementation manner of the energy compensation method for low signal-to-noise ratio data on the loess tableland surface proposed by the present invention.

[0026] Figure 4 It is a schematic diagram of a seismic profile for performing conventional energy compensation in a specific implementation manner of the energy compensation method for low signal-to-noise ratio data on the loess tableland surface proposed by the present invention.

[0027] Figure 5 It is a schematic diagram of a seismic profile after performing conventional energy compensation plus residual amplitude compensation in a specific implementation manner of the energy compensation method for low signal-to-noise ratio data on the loess tableland surface proposed by the present invention.

[0028] Figure 6 It is a schematic diagram of a seismic profile after improving the signal-to-noise ratio of the present invention in a specific implementation manner of the energy compensation method for low signal-to-noise ratio data on the loess tableland surface proposed by the present invention.

[0029] Figure 7 It is a schematic diagram of a seismic profile of the energy compensation of the present invention in a specific implementation manner of the energy compensation method for low signal-to-noise ratio data on the loess tableland surface proposed by the present invention.

[0030] Figure 8 It is a loess tableland surface elevation map in a specific implementation manner of the energy compensation method for low signal-to-noise ratio data on the loess tableland surface proposed by the present invention.

[0031] . Figure 9It is the energy plan view of the target interval after conventional energy compensation in a specific embodiment of the energy compensation method for low signal-to-noise ratio data on the loess tableland surface proposed by the present invention.

[0032] . Figure 10 It is the energy plan view of the target interval after the energy compensation of the present invention in a specific embodiment of the energy compensation method for low signal-to-noise ratio data on the loess tableland surface proposed by the present invention. Specific Embodiment

[0033] The preferred embodiments of the present invention will be described in more detail below. Although the preferred embodiments of the present invention are described below, it should be understood that the present invention can be implemented in various forms and should not be limited by the embodiments set forth herein.

[0034] The present invention provides an energy compensation method for low signal-to-noise ratio data on the loess tableland surface, as Figure 1 shown, including:

[0035] Performing exponential gain processing and surface consistent amplitude compensation on seismic data in sequence to obtain first data;

[0036] Performing signal-to-noise ratio improvement processing and OVT domain residual amplitude compensation on the first data in sequence to obtain second data;

[0037] Performing energy consistency evaluation on the second data. If the energy consistency does not meet the requirements, taking the current second data as the new first data for iterative processing until the energy consistency of the obtained second data meets the requirements.

[0038] The method proposed by the present invention is based on improving the signal-to-noise ratio of seismic data, performing OVT domain residual amplitude compensation on effective signals, improving the signal-to-noise ratio and energy consistency of seismic data, and can well solve the problem of lateral energy imbalance of seismic data caused by the loess tableland surface, significantly improve the energy consistency on the regional background, and restore the true energy relationship of the target interval.

[0039] According to the present invention, the signal-to-noise ratio improvement processing is five-dimensional regularization and other processing techniques.

[0040] According to the present invention, OVT gather extraction operation is also performed before performing OVT domain residual amplitude compensation.

[0041] According to the present invention, the data in the OVT domain is a set of once-covered data with similar offsets, similar azimuths, and covering the entire work area.

[0042] Preferably, the energy consistency evaluation is performed on the signal-to-noise ratio improvement amplitude, the signal-to-noise ratio consistency improvement degree, and the energy lateral consistency improvement degree.

[0043] According to the present invention, if at least one of the indicators such as the improvement amplitude of the signal-to-noise ratio, the improvement degree of the signal-to-noise ratio consistency, and the improvement degree of the lateral energy consistency is better than the previous time, the cyclic iteration proceeds normally until all indicators are better than the previous time.

[0044] Preferably, if all of the indicators such as the improvement amplitude of the signal-to-noise ratio, the improvement degree of the signal-to-noise ratio consistency, and the improvement degree of the lateral energy consistency are worse than the previous time, the cyclic iteration is forced to stop.

[0045] In the present invention, by performing cyclic iteration processing on the amplitude compensation data, the signal-to-noise ratio of seismic data is greatly improved, the signal-to-noise ratio consistency is significantly improved, the lateral energy consistency is significantly improved, and the imbalance of the effective signal energy is well solved.

[0046] The present invention will be described in more detail below through embodiments.

[0047] Embodiment 1:

[0048] In this embodiment, the loess tableland exploration area is taken as the research object, and a comparative test is carried out between the conventional amplitude compensation and the energy compensation method of the present invention;

[0049] As Figure 2 shown, the flow of the conventional amplitude compensation method is implemented as follows:

[0050] 1) Input seismic data;

[0051] 2) Perform exponential gain processing;

[0052] 3) Perform surface-consistent amplitude compensation processing;

[0053] 4) Obtain the seismic data after amplitude compensation;

[0054] In the loess tableland exploration area, the differences in surface excitation and reception conditions are extremely large. After the conventional amplitude compensation processing, the lateral consistency of energy on the pure wave section is still very poor. As Figure 4 shown, in the boxed area, the signal-to-noise ratio of the data is low and the energy is weak;

[0055] As Figure 3 shown, this embodiment provides an energy compensation method for low signal-to-noise ratio data on the loess tableland surface, and the specific steps are as follows:

[0056] 1) Input seismic data;

[0057] 2) Perform exponential gain processing;

[0058] 3) Perform surface-consistent amplitude compensation processing;

[0059] 4) Use five-dimensional regularization and other techniques to improve the signal-to-noise ratio of the data;

[0060] 5) Extract OVT gathers;

[0061] 6) Perform residual amplitude compensation in the OVT domain;

[0062] 7) Obtain the compensated seismic data;

[0063] 8) Evaluate the energy consistency of the compensated seismic data. If the compensation effect is not achieved, based on this compensation, return to step 4 for iterative processing. If the compensation effect is achieved, proceed to step 9);

[0064] 9) End;

[0065] In this embodiment, affected by the special surface of the loess tableland, in the area with weak energy, the signal-to-noise ratio of the data is often very low, as shown in Figure 4 ; Therefore, based on the conventional amplitude compensation method, this embodiment first uses techniques such as five-dimensional regularization to improve the signal-to-noise ratio of seismic data, improve the signal-to-noise ratio of low-signal-to-noise data, and solve the problem of signal-to-noise ratio consistency, as shown in Figure 6 ; On the premise of ensuring the signal-to-noise ratio, perform residual amplitude compensation processing in the OVT domain to further solve the problem of energy consistency of effective signals, as shown in Figure 7 ; Improve the signal-to-noise ratio and residual amplitude compensation iteratively, and neither can be lacking; If the signal-to-noise ratio is not improved and the residual amplitude compensation is directly performed, due to the low signal-to-noise ratio of the data and the large proportion of noise, the compensation for effective signals will be insufficient and the compensation for noise will be excessive, and there will be a lot of noise in the profile, and the effect is not good, as shown in Figure 5 The arrow-marked part; If only the signal-to-noise ratio is improved and the residual amplitude compensation is not performed, there will be a situation where the signal-to-noise ratio of the data is improved, the consistency of the signal-to-noise ratio is enhanced, but the energy consistency is still not good, as shown in Figure 6 ; In addition, in terms of residual amplitude compensation, the residual amplitude compensation effect in the CMP domain is not good, and the residual amplitude compensation in the OVT domain must be performed; in the CMP domain, the same CMP contains data with different offsets and different azimuths, and when performing residual amplitude compensation processing, there is only one amplitude compensation factor for a CMP gather, and it is impossible to take into account the data with different offsets and different azimuths in the same CMP at the same time, and the compensation effect is poor; the OVT domain data is a set of data with similar offsets, similar azimuths, and covering the entire work area with a single coverage, with good regularity and good amplitude compensation effect.

[0066] In this embodiment, the effect of the present invention is illustrated by actual seismic data, Figure 4 is a seismic profile of conventional energy compensation. The overall seismic profile shows low signal-to-noise ratio, poor signal-to-noise ratio consistency, and poor energy lateral consistency, especially in the box-marked part; Extract amplitude attributes along the target layer segment on the seismic profile of conventional energy compensation, as shown in Figure 9, compare the loess tableland surface elevation map (such as Figure 8 ), with the amplitude attribute map. At the parts marked by the dashed line, the amplitude attribute shows a strong correlation with the surface elevation. The amplitude attribute cannot well reflect the changes in the strata, but more reflects the changes in the loess tableland surface. The conventional amplitude compensation does not well eliminate the influence of the loess tableland surface on the energy;

[0067] This embodiment proposes an energy compensation method for low signal-to-noise ratio data in the loess tableland based on improving the signal-to-noise ratio. On the basis of conventional energy compensation, in the first step, technologies such as five-dimensional regularization are used to improve the signal-to-noise ratio of seismic data, as shown in Figure 6 . Compare Figure 4 and Figure 6 . On the one hand, the signal-to-noise ratio of the seismic data is greatly improved. On the other hand, the lateral consistency of the seismic data signal-to-noise ratio is significantly improved. Before the signal-to-noise ratio improvement processing, the in-phase axis of the effective wave at 2200 - 2900 ms in the box-marked part can only be faintly visible and the signal-to-noise ratio is extremely low. After the signal-to-noise ratio improvement processing, the in-phase axis of the effective wave at this part is clearly visible and the continuity is significantly enhanced. Horizontally, the signal-to-noise ratio of the same set of strata is roughly the same. In the second step, on the basis of a relatively high signal-to-noise ratio, residual amplitude compensation is carried out in the OVT domain, as shown in Figure 7 . Compare Figure 6 and Figure 7 . The lateral consistency of the energy of the seismic data is significantly improved, and the effective signal is reasonably compensated. If the method of the present invention is not used and direct residual amplitude compensation is carried out, as shown in Figure 5 , due to the lack of signal-to-noise ratio guarantee, a large amount of noise energy will be compensated, while the energy of the effective wave is not reasonably compensated, and there will be a large amount of noise on the section, as shown by the arrow-marked parts in Figure 5 , which fully demonstrates the effectiveness of the energy compensation method of the present invention based on improving the signal-to-noise ratio. Compare Figure 4 and Figure 7 . After processing with the method of the present invention, the signal-to-noise ratio of the seismic data is greatly improved, the signal-to-noise ratio consistency is significantly improved, the energy lateral consistency is significantly improved, and the imbalance of the effective signal energy is well solved. Compare Figures 8 - 10 . Without using the method of the present invention, there is an obvious correlation between the amplitude attribute of the target layer segment and the surface elevation at the dashed line part; when using the method of the present invention, there is no correlation between the amplitude attribute of the target layer segment and the surface elevation, and it reflects the changes in the underground lithology.

[0068] In summary, this embodiment performs residual amplitude compensation in the OVT domain based on improving the signal-to-noise ratio, while improving the signal-to-noise ratio and energy consistency of seismic data, can well solve the problem of lateral energy imbalance of seismic data caused by the loess tableland surface, significantly improve the energy consistency on the regional background, and restore the true energy relationship of the target layer.

[0069] Embodiment Two:

[0070] This embodiment provides an energy compensation method for low signal-to-noise ratio data on the loess tableland surface, as Figures 1 - 3 shown, including:

[0071] Performing exponential gain processing and surface-consistent amplitude compensation on seismic data in sequence to obtain first data;

[0072] Performing signal-to-noise ratio improvement processing and residual amplitude compensation in the OVT domain on the first data in sequence to obtain second data;

[0073] Performing energy consistency evaluation on the second data. If the energy consistency does not meet the requirements, taking the current second data as the new first data for iterative processing until the energy consistency of the obtained second data meets the requirements;

[0074] The signal-to-noise ratio improvement processing is a five-dimensional regularization and other processing techniques;

[0075] Before performing the residual amplitude compensation in the OVT domain, an OVT gather extraction operation is also performed;

[0076] The data in the OVT domain is a set of first-pass coverage data with similar offsets, similar azimuths, and covering the entire work area;

[0077] The energy consistency evaluation is to evaluate the signal-to-noise ratio improvement amplitude, the improvement degree of signal-to-noise ratio consistency, and the improvement degree of energy lateral consistency;

[0078] If at least one of the signal-to-noise ratio improvement amplitude, the improvement degree of signal-to-noise ratio consistency, and the improvement degree of energy lateral consistency is better than the previous time, the iterative processing proceeds normally until all indicators are better than the previous time;

[0079] If all of the signal-to-noise ratio improvement amplitude, the improvement degree of signal-to-noise ratio consistency, and the improvement degree of energy lateral consistency are worse than the previous time, the iterative processing is forced to stop.

[0080] Embodiment Three:

[0081] This embodiment provides an energy compensation device for low signal-to-noise ratio data on the loess tableland surface, including:

[0082] A basic processing compensation module for performing exponential gain processing and surface-consistent amplitude compensation on seismic data in sequence to obtain first data;

[0083] An optimization compensation module for performing signal-to-noise ratio improvement processing and residual amplitude compensation in the OVT domain on the first data in sequence to obtain second data;

[0084] An evaluation module is used to evaluate the energy consistency of the second data. If the energy consistency does not meet the requirements, the current second data is used as the new first data for iterative processing until the energy consistency of the obtained second data meets the requirements;

[0085] The processing of improving the signal-to-noise ratio is such processing technologies as five-dimensional regularization;

[0086] Before performing OVT domain residual amplitude compensation, an OVT gather extraction operation is also carried out;

[0087] The data in the OVT domain is a set of first coverage data with similar offsets, similar azimuths, and covering the entire work area;

[0088] The energy consistency evaluation is to evaluate the improvement amplitude of the signal-to-noise ratio, the improvement degree of the signal-to-noise ratio consistency, and the improvement degree of the energy lateral consistency;

[0089] If at least one of the improvement amplitude of the signal-to-noise ratio, the improvement degree of the signal-to-noise ratio consistency, and the improvement degree of the energy lateral consistency is better than the previous time, the iterative processing proceeds normally until all indicators are better than the previous time;

[0090] If all of the improvement amplitude of the signal-to-noise ratio, the improvement degree of the signal-to-noise ratio consistency, and the improvement degree of the energy lateral consistency are worse than the previous time, the iterative processing is forced to stop.

[0091] Embodiment 4:

[0092] An embodiment of the present invention provides an electronic device including a memory and a processor,

[0093] The memory stores executable instructions;

[0094] The processor runs the executable instructions in the memory to implement the energy compensation method for low signal-to-noise ratio data on the loess tableland surface.

[0095] This memory is used to store non-temporary computer-readable instructions. Specifically, the memory may include one or more computer program products, and the computer program products may include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. The volatile memory may include, for example, random access memory (RAM) and / or cache memory, etc. The non-volatile memory may include, for example, read-only memory (ROM), hard disk, flash memory, etc.

[0096] The processor may be a central processing unit (CPU) or other forms of processing units with data processing capabilities and / or instruction execution capabilities, and may control other components in the electronic device to perform desired functions. In an embodiment of the present invention, the processor is used to run the computer-readable instructions stored in the memory.

[0097] Those skilled in the art should understand that, in order to solve the technical problem of how to obtain good user experience effects, the present embodiment may also include well-known structures such as communication buses and interfaces, and these well-known structures should also be included in the protection scope of the present invention.

[0098] For the detailed description of this embodiment, reference can be made to the corresponding descriptions in the foregoing embodiments, and details will not be repeated here.

[0099] Embodiment Five:

[0100] The embodiment of the present invention provides a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, it implements an energy compensation method for low signal-to-noise ratio data on the loess tableland surface.

[0101] According to the computer-readable storage medium of the embodiment of the present invention, non-temporary computer-readable instructions are stored thereon. When the non-temporary computer-readable instructions are run by a processor, all or part of the steps of the methods of the foregoing embodiments of the present invention are executed.

[0102] The above-mentioned computer-readable storage medium includes but is not limited to: optical storage media (such as CD-ROMs and DVDs), magneto-optical storage media (such as MOs), magnetic storage media (such as magnetic tapes or external hard drives), media with built-in rewritable non-volatile memories (such as memory cards), and media with built-in ROMs (such as ROM cartridges).

[0103] The energy compensation method for low signal-to-noise ratio data on the loess tableland surface proposed in the embodiment of the present invention is based on improving the signal-to-noise ratio of seismic data, performs OVT domain residual amplitude compensation on effective signals, improves the signal-to-noise ratio and energy consistency of seismic data, can well solve the problem of lateral energy imbalance of seismic data caused by the loess tableland surface, significantly improves the energy consistency on the regional background, and restores the true energy relationship of the target layer.

[0104] The foregoing embodiments of the present invention have been described above. The above description is exemplary and not exhaustive, and is not limited to the disclosed embodiments. Many modifications and variations are obvious to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments.

Claims

1. An energy compensation method for low signal-to-noise ratio data on the loess tableland surface, characterized in that, Including: Performing exponential gain processing and surface-consistent amplitude compensation on seismic data in sequence to obtain first data; Performing signal-to-noise ratio improvement processing and residual amplitude compensation in the OVT domain on the first data in sequence to obtain second data; Performing energy consistency evaluation on the second data. If the energy consistency does not meet the requirements, using the current second data as the new first data for iterative processing until the energy consistency of the obtained second data meets the requirements.

2. The method according to claim 1, characterized in that, The signal-to-noise ratio improvement processing is a five-dimensional regularization processing technique.

3. The method according to claim 2, characterized in that, Before performing residual amplitude compensation in the OVT domain, an OVT gather extraction operation is also performed.

4. The method according to claim 3, characterized in that, The data in the OVT domain is a set of first-covered data with similar offsets, similar azimuths, and covering the entire work area.

5. The method according to claim 3, characterized in that, The energy consistency evaluation is performed for the signal-to-noise ratio improvement amplitude, the improvement degree of signal-to-noise ratio consistency, and the improvement degree of energy lateral consistency.

6. The method according to claim 5, characterized in that, If at least one of the signal-to-noise ratio improvement amplitude, the improvement degree of signal-to-noise ratio consistency, and the improvement degree of energy lateral consistency is better than the previous time, the iterative processing proceeds normally until all indicators are better than the previous time.

7. The method according to claim 5, characterized in that, If all of the signal-to-noise ratio improvement amplitude, the improvement degree of signal-to-noise ratio consistency, and the improvement degree of energy lateral consistency are worse than the previous time, the iterative processing is forced to stop.

8. An energy compensation device for low signal-to-noise ratio data on the loess tableland surface, characterized in that, Including: A basic processing compensation module for performing exponential gain processing and surface-consistent amplitude compensation on seismic data in sequence to obtain first data; An optimization compensation module for performing signal-to-noise ratio improvement processing and residual amplitude compensation in the OVT domain on the first data in sequence to obtain second data; An evaluation module for performing energy consistency evaluation on the second data. If the energy consistency does not meet the requirements, using the current second data as the new first data for iterative processing until the energy consistency of the obtained second data meets the requirements.

9. An electronic device, characterized in that, The electronic device includes: A memory storing executable instructions; A processor that runs the executable instructions in the memory to implement the energy compensation method for low signal-to-noise ratio data on the loess tableland surface according to any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, This computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, it implements the energy compensation method for low signal-to-noise ratio data on the loess tableland surface according to any one of claims 1-7.

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