Pre-stack gather optimization processing method, electronic equipment, storage medium and device

Abstract

The invention discloses a pre-stack gather optimization processing method, electronic equipment, a storage medium and a pre-stack gather optimization processing device. The method comprises the following steps: acquiring a pre-stack gather of a typical well; sequentially performing denoising, time difference correction and frequency spectrum correction processing on the pre-stack gather, and adjusting parameters of denoising, time difference correction and frequency spectrum correction processing according to an analysis result through amplitude marker layer AVO (amplitude versus offset) feature analysis, stack section frequency spectrum feature analysis, typical well reservoir AVO feature analysis and typical well surrounding target layer section post-stack feature analysis in the processing process. According to the invention, through a trace gather optimization processing flow of de-noising, time difference correction and frequency spectrum correction, problems of poor imaging quality, low signal-to-noise ratio, unobvious AVO characteristics and low seismic data dominant frequency of reef phase reservoir seismic data can be solved in a targeted manner; and a four-item quality control mode is adopted in the processing process, so that the blindness of trace gather optimization processing and the subjectivity of processing parameter setting are avoided, and a high-quality data basis can be provided for reef phase reservoir prediction.

Description

Technical Field

[0001] The present invention belongs to the technical field of geophysical exploration, and more specifically, relates to a pre-stack gather optimization processing method, an electronic device, a storage medium, and a device. Background Art

[0002] Reef-flat facies carbonate rock oil and gas reservoirs are one of the important oil and gas reservoir types globally. In China, large and medium-sized gas fields such as Dukouhe, Tieshanpo, Luojiazhai, Puguang, Heba, Longgang, and Yuanba have been successively discovered. The main development formations of the gas fields are the Changxing Formation - Feixianguan Formation and the Jialingjiang Formation. The sedimentary environment is the carbonate platform margin, and the reservoir is reef-flat facies carbonate rock. The existing development situation shows that the surface locations of most gas fields are hilly - mountainous areas or even high mountain areas, and the development formations are buried relatively deep. At the same time, reef bodies are scattered, the reservoir heterogeneity is strong, belonging to one reef or one beach - one gas reservoir. Considering the above situations, the main problems faced by seismic data of reef-flat facies reservoirs are poor imaging quality, low signal-to-noise ratio, unclear AVO characteristics, and low main frequency of seismic data. After conventional seismic data processing, these problems are solved to a certain extent, but there is still room for further improvement.

[0003] Pre-stack gather optimization processing can eliminate (suppress) the seismic information changes caused by non-lithological and fluid information, restore the seismic information that can objectively reflect the lithological and fluid changes, and ultimately improve the accuracy of reservoir prediction. At present, for the pre-stack gathers after migration, preprocessing work is usually carried out before the reservoir prediction work, which further improves the quality of pre-stack gathers to a certain extent. However, there is little targeted gather optimization processing for specific reservoir types such as reef-flat facies reservoirs. At the same time, the processing flow and processing degree are both subjective, lacking corresponding quality control means.

[0004] The information disclosed in the background art part of the present invention is only intended to deepen the understanding of the general background art of the present invention, and should not be regarded as an admission or any form of suggestion that this information constitutes the prior art known to those skilled in the art. Summary of the Invention

[0005] The object of the present invention is to propose a pre-stack gather optimization processing method, an electronic device, a storage medium, and a device, which can specifically solve the problems of poor imaging quality, low signal-to-noise ratio, unclear AVO characteristics, and low main frequency of seismic data faced by reef-flat facies reservoir seismic data. At the same time, it avoids the blindness of gather optimization processing and the subjectivity of processing parameter setting, and can provide a high-quality data basis for reef-flat facies reservoir prediction.

[0006] To achieve the above object, the present invention proposes a pre-stack gather optimization processing method, an electronic device, a storage medium, and a device.

[0007] According to a first aspect of the present invention, a pre-stack gather optimization processing method is provided, including:

[0008] Obtain a pre-stack gather;

[0009] Perform denoising processing on the pre-stack gather through Radon transform. At the same time, by correcting the relative amplitude relationship of the near-offset gather, mid-offset gather, and far-offset gather in the pre-stack gather, make the amplitudes of different offset data more convergent, and obtain a first optimized pre-stack gather, where the residual between the first optimized pre-stack gather and the pre-stack gather has no flat and useful signals;

[0010] Perform moveout correction processing on the first optimized pre-stack gather to obtain a second optimized pre-stack gather, where the remaining moveout of the second optimized pre-stack gather is zero;

[0011] Perform spectral correction processing on the second optimized pre-stack gather to obtain a third optimized pre-stack gather;

[0012] During the above optimization processing, perform AVO feature analysis of the amplitude marker layer, spectral feature analysis of the stacked section, AVO feature analysis of the typical well reservoir, and post-stack feature analysis of the target layer section around the typical well on the first optimized pre-stack gather, the second optimized pre-stack gather, and the third optimized pre-stack gather respectively, so as to adjust the parameters of the denoising processing, the moveout correction processing, and the spectral correction processing, and ensure that the optimization processing quality of the above various optimization processing steps meets the processing requirements.

[0013] Optionally, the moveout correction processing includes:

[0014] Pick up the time shift relative to zero offset through cross-correlation and correct it according to the remaining time shift theory, so as to flatten the first optimized pre-stack gather and obtain a second optimized pre-stack gather.

[0015] Optionally, the spectral correction processing includes:

[0016] Perform spectral compensation on the far-offset gather in the second optimized pre-stack gather to obtain a third optimized pre-stack gather.

[0017] Optionally, the AVO feature analysis of the amplitude marker layer includes:

[0018] Perform comparative analysis on the AVO features of the amplitude marker layer between the first optimized pre-stack gather and the pre-stack gather, and adjust the parameters of the denoising processing according to the analysis results to ensure that the overall fitting trend of the AVO of the amplitude marker layer of the first optimized pre-stack gather relative to the pre-stack gather remains unchanged and the amplitude scatter points are more convergent;

[0019] Compare and analyze the AVO characteristics of the amplitude marker layer between the second pre-stack optimized gather and the first pre-stack optimized gather, and adjust the parameters of the time difference correction process according to the analysis results to ensure that the overall fitting trend of the AVO of the amplitude marker layer of the second pre-stack optimized gather remains unchanged compared to that of the first pre-stack optimized gather, and the amplitude scatter points are more convergent;

[0020] Compare and analyze the AVO characteristics of the amplitude marker layer between the third pre-stack optimized gather and the second pre-stack optimized gather, and adjust the parameters of the spectral correction process according to the analysis results to ensure that the overall fitting trend of the AVO of the amplitude marker layer of the third pre-stack optimized gather remains unchanged compared to that of the second pre-stack optimized gather, and the amplitude scatter points are more convergent.

[0021] Optionally, the spectral characteristic analysis of the stacked section includes:

[0022] Stack the first pre-stack optimized gather and the pre-stack gather, perform spectral characteristic analysis on the stacked section, and adjust the parameters of the denoising process according to the analysis results to ensure that there is no low-frequency or high-frequency loss in the first pre-stack optimized gather;

[0023] Stack the second pre-stack optimized gather, the first pre-stack optimized gather and the pre-stack gather, perform spectral characteristic analysis on the stacked section, and adjust the parameters of the time difference correction process according to the analysis results to ensure that there is no low-frequency or high-frequency loss in the second pre-stack optimized gather;

[0024] Stack the third pre-stack optimized gather, the second pre-stack optimized gather, the first pre-stack optimized gather and the pre-stack gather, perform spectral characteristic analysis on the stacked section, and adjust the parameters of the spectral correction process according to the analysis results to ensure that there is no low-frequency or high-frequency loss in the third pre-stack optimized gather.

[0025] Optionally, the AVO characteristic analysis of the typical well reservoir includes:

[0026] Compare and analyze the AVO characteristics of the reservoir top of the pre-stack gather, the first pre-stack optimized gather and the synthetic gather of the typical well, and adjust the parameters of the denoising process according to the analysis results to ensure that the AVO characteristics of the reservoir top of the pre-stack gather, the first pre-stack optimized gather and the synthetic gather are consistent;

[0027] Compare and analyze the AVO characteristics of the reservoir top of the pre-stack gather, the second pre-stack optimized gather and the synthetic gather, and adjust the parameters of the time difference correction process according to the analysis results to ensure that the AVO characteristics of the reservoir top of the pre-stack gather, the second pre-stack optimized gather and the synthetic gather are consistent;

[0028] Perform a comparative analysis on the AVO characteristics of the reservoir top of the prestack gather, the third optimized prestack gather, and the synthetic gather, and adjust the parameters of the spectral correction process according to the analysis results to ensure the consistency of the AVO characteristics of the reservoir top of the prestack gather, the third optimized prestack gather, and the synthetic gather.

[0029] Optionally, the post-stack characteristic analysis of the target interval around the typical well includes:

[0030] Superimpose the first optimized prestack gather on the well-traversing line of the prestack gather, perform spectral characteristic analysis on the target interval of the post-stack section, and adjust the parameters of the denoising process according to the analysis results to ensure the consistency of the structural characteristics and spectral characteristics of the target interval of the post-stack section corresponding to the first optimized prestack gather and the prestack gather, or the data spectrum of the first optimized prestack gather is wider than the data spectrum of the prestack gather;

[0031] Superimpose the second optimized prestack gather on the well-traversing line of the first optimized prestack gather, perform spectral characteristic analysis on the target interval of the post-stack section, and adjust the parameters of the time difference correction process according to the analysis results to ensure the consistency of the structural characteristics and spectral characteristics of the target interval of the post-stack section corresponding to the second optimized prestack gather and the first optimized prestack gather, or the data spectrum of the second optimized prestack gather is wider than the data spectrum of the first optimized prestack gather;

[0032] Superimpose the third optimized prestack gather on the well-traversing line of the second optimized prestack gather, perform spectral characteristic analysis on the target interval of the post-stack section, and adjust the parameters of the spectral correction process according to the analysis results to ensure the consistency of the structural characteristics and spectral characteristics of the target interval of the post-stack section corresponding to the third optimized prestack gather and the second optimized prestack gather, or the data spectrum of the third optimized prestack gather is wider than the data spectrum of the second optimized prestack gather.

[0033] According to the second aspect of the present invention, a device for optimizing prestack gathers is proposed, including:

[0034] An acquisition module for acquiring prestack gathers;

[0035] A denoising and correction module for denoising the prestack gather through Radon transform, and at the same time making the amplitudes of data with different offsets more convergent by correcting the relative amplitude relationship of the near-offset gather, mid-offset gather, and far-offset gather in the prestack gather, to obtain a first optimized prestack gather, and there is no flat and useful signal in the residual between the first optimized prestack gather and the prestack gather;

[0036] A time difference correction module, configured to perform time difference correction processing on the first optimized prestack gather to obtain a second optimized prestack gather, and the residual time difference of the second optimized prestack gather is zero;

[0037] A spectrum correction module, configured to perform spectrum correction processing on the second optimized prestack gather, and obtain a third optimized prestack gather by performing spectrum compensation on the far offset gather in the second optimized prestack gather;

[0038] A feature analysis and adjustment module, configured to perform amplitude signature layer AVO feature analysis, stacked section spectrum feature analysis, typical well reservoir AVO feature analysis, and post-stack feature analysis of the target layer section around the typical well on the first optimized prestack gather, the second optimized prestack gather, and the third optimized prestack gather respectively during the above optimization processing, so as to adjust the parameters of the denoising processing, the time difference correction processing, and the spectrum correction processing, and ensure that the optimization processing quality of the above each optimization processing step meets the processing requirements.

[0039] According to the third aspect of the present invention, an electronic device is provided, and the electronic device includes:

[0040] At least one processor; and,

[0041] A memory communicatively connected to the at least one processor; wherein,

[0042] The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor, so that the at least one processor can execute the prestack gather optimization processing method according to any one of the first aspect.

[0043] According to the fourth aspect of the present invention, a non-transitory computer-readable storage medium is provided, and the non-transitory computer-readable storage medium stores computer instructions for causing a computer to execute the prestack gather optimization processing method according to any one of the first aspect

[0044] The beneficial effects of the present invention are as follows: Through the prestack gather optimization processing flow of high-precision Radon transform - time difference correction - spectrum correction, the present invention can specifically solve the problems mainly faced by seismic data of reef bank facies reservoirs, such as poor imaging quality, low signal-to-noise ratio, unclear AVO features, and low main frequency of seismic data. And during the processing, four quality control methods are adopted, namely amplitude signature layer AVO feature analysis, stacked section spectrum feature analysis, typical well reservoir AVO feature analysis, and post-stack feature analysis of the target layer section around the typical well, to comprehensively and objectively ensure the rationality of the prestack gather optimization processing, avoid the blindness of the prestack gather optimization processing and the subjectivity of the setting of processing parameters, and can provide a high-quality data basis for reef bank facies reservoir prediction.

[0045] The system of the present invention has other characteristics and advantages, which will be apparent from the accompanying drawings incorporated herein and the subsequent detailed description, or will be described in detail in the accompanying drawings incorporated herein and the subsequent detailed description, and these accompanying drawings and detailed description are used together to explain the specific principles of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] The above and other objects, features, and advantages of the present invention will become more apparent by describing the exemplary embodiments of the present invention in more detail in conjunction with the accompanying drawings. In the exemplary embodiments of the present invention, the same reference numerals generally represent the same components.

[0047] Figure 1 The flowchart showing the steps of a prestack gather optimization processing method according to one of the present inventions is shown.

[0048] Figure 2 The comparison diagram of AVO characteristics between the original gather near the well and the denoised gather of a typical well according to Embodiment 2 of the present invention is shown.

[0049] Figure 3 The comparison diagram of AVO characteristics between the original gather near the well, the denoised gather, and the flattened (time difference correction) gather of a typical well according to Embodiment 2 of the present invention is shown.

[0050] Figure 4 The comparison diagram of AVO characteristics between the original gather near the well, the denoised gather, the flattened gather, the corrected (spectrum correction) gather, and the synthetic gather of a typical well according to Embodiment 2 of the present invention is shown.

[0051] Figure 5 The analysis and comparison diagram of the spectral characteristics of the stacked section of a typical well according to Embodiment 2 of the present invention is shown.

[0052] Figure 6 The comparison diagram of AVO characteristics of the reservoir of a typical well according to Embodiment 2 of the present invention is shown.

[0053] Figure 7 The comparison diagram of the post-stack characteristics of the target interval around the well of a typical well according to Embodiment 2 of the present invention is shown.

[0054] Figure 8 The schematic diagram of a prestack gather optimization processing device according to Embodiment 3 of the present invention is shown. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0055] The present invention will be described in more detail below with reference to the accompanying drawings. Although the preferred embodiments of the present invention are shown in the drawings, 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. On the contrary, these embodiments are provided so that the present invention will be more thorough and complete, and the scope of the present invention can be fully conveyed to those skilled in the art.

[0056] As Figure 1 shown, a prestack gather optimization processing method according to the present invention includes:

[0057] Obtaining a prestack gather;

[0058] Performing denoising processing on the prestack gather through Radon transform, and at the same time, by correcting the relative amplitude relationship of the near-offset gather, mid-offset gather, and far-offset gather in the prestack gather, making the amplitudes of data with different offsets more convergent, obtaining a first optimized prestack gather, and there is no flat and useful signal in the residual between the first optimized prestack gather and the prestack gather;

[0059] Performing time difference correction processing on the first optimized prestack gather to obtain a second optimized prestack gather, and the remaining time difference of the second optimized prestack gather is zero;

[0060] Performing spectral correction processing on the second optimized prestack gather to obtain a third optimized prestack gather;

[0061] During the above optimization processing, performing AVO characteristic analysis of the amplitude marker layer, spectral characteristic analysis of the stacked section, AVO characteristic analysis of the typical well reservoir, and post-stack characteristic analysis of the target layer section around the typical well on the first optimized prestack gather, the second optimized prestack gather, and the third optimized prestack gather respectively, so as to adjust the parameters of the denoising processing, time difference correction processing, and spectral correction processing, and ensure that the optimization processing quality of the above each optimization processing step meets the processing requirements.

[0062] Specifically, obtain the prestack gather to be optimized. First, perform denoising processing on the prestack gather through high-precision Radon transform. At the same time, correct the relative amplitude relationships of the near-offset gather, mid-offset gather, and far-offset gather in the prestack gather to make the amplitudes of data with different offsets more convergent. Also, ensure that there is no flat and useful signal in the residual between the prestack gather after denoising processing and the original prestack gather. If there is a useful signal in the residual between the prestack gather after denoising processing and the original prestack gather, adjust the correction parameters until there is no flat and useful signal in the residual between the prestack gather after denoising processing and the original prestack gather, obtaining the first optimized prestack gather. Through denoising processing, the signal-to-noise ratio of the prestack gather can be improved, making the amplitude scatter points of the marker bed in the first optimized prestack gather more concentrated near the trend line. During this denoising processing, perform AVO characteristic analysis of the amplitude marker bed, spectral characteristic analysis of the stacked section, AVO characteristic analysis of the typical well reservoir, and post-stack characteristic analysis of the target interval around the typical well in the first optimized prestack gather. Adjust the parameters of the denoising processing according to the analysis results to ensure that the quality of the first optimized prestack gather meets the following processing requirements: The overall AVO fitting trend of the marker bed in the first optimized prestack gather after denoising processing remains unchanged compared to that in the prestack gather before denoising processing, the amplitude scatter points are more convergent, there is no low-frequency or high-frequency loss, the AVO characteristics of the reservoir top in the prestack gather, the first optimized prestack gather, and the synthetic gather of the typical well are consistent, the structural characteristics and spectral characteristics of the reservoir section in the stacked sections of the prestack gather and the first optimized prestack gather are consistent, or the data spectrum of the first optimized prestack gather is wider than that of the prestack gather; Then, perform time difference correction processing on the prestack gather after denoising. Pick up the time shift relative to the zero offset through cross-correlation and correct it according to the residual time shift theory to flatten the gather, ensuring that the residual time difference is zero or basically zero to highlight the AVO characteristics of the gather. If the residual time difference is not zero, adjust the parameters of the time correction until the residual time difference is zero or basically zero. During this time difference correction processing, perform AVO characteristic analysis of the amplitude marker bed, spectral characteristic analysis of the stacked section, AVO characteristic analysis of the typical well reservoir, and post-stack characteristic analysis of the target interval around the typical well in the second optimized prestack gather. Adjust the parameters of the time difference correction processing according to the analysis results to ensure that the quality of the second optimized prestack gather meets the following processing requirements: The overall AVO fitting trend of the marker bed in the second optimized prestack gather after time difference correction processing remains unchanged compared to that in the first optimized prestack gather before time difference correction processing, the amplitude scatter points are more convergent, there is no low-frequency or high-frequency loss, the AVO characteristics of the reservoir top in the prestack gather, the first optimized prestack gather, the second optimized prestack gather, and the synthetic gather of the typical well are consistent, the structural characteristics and spectral characteristics of the reservoir section in the stacked sections of the first optimized prestack gather and the second optimized prestack gather are consistent, or the data spectrum of the second optimized prestack gather is wider than that of the first optimized prestack gather;Finally, the pre-stack gathers after time difference correction processing are subjected to spectral correction processing to address the issue of frequency mismatch between far and near traces caused by dynamic stretching. By performing spectral compensation on the far-offset gathers, the problem of low frequency in the far-offset gathers is improved, achieving the effect of eliminating the impact of dynamic stretching. During this spectral correction processing, AVO characteristic analysis of the amplitude marker bed, spectral characteristic analysis of the stacked section, AVO characteristic analysis of the typical well reservoir, and post-stack characteristic analysis of the target interval around the typical well are carried out on the third optimized pre-stack gathers. According to the analysis results, it is determined whether the parameters of the spectral correction processing need to be adjusted to ensure that the quality of the second optimized pre-stack gathers meets the following processing requirements: the overall AVO fitting trend of the marker bed in the third optimized pre-stack gathers after spectral correction processing remains unchanged compared to that of the marker bed in the second optimized pre-stack gathers before spectral correction processing, the amplitude scatter points are more convergent, there is no low-frequency or high-frequency loss, the AVO characteristics of the reservoir top in the pre-stack gathers, the first optimized pre-stack gathers, the second optimized pre-stack gathers, the third optimized pre-stack gathers, and the synthetic gathers of the typical well are consistent, the structural and spectral characteristics of the reservoir section in the stacked sections of the second optimized pre-stack gathers and the third optimized pre-stack gathers are consistent, or the data spectrum of the third optimized pre-stack gathers is wider than that of the second optimized pre-stack gathers. Through the gather optimization processing flow of high-precision Radon transform - time difference correction - spectral correction, the present invention can specifically solve the problems mainly faced by seismic data of reef-flat facies reservoirs, such as poor imaging quality, low signal-to-noise ratio, unclear AVO characteristics, and low main frequency of seismic data. During the processing, four quality control methods are adopted, namely AVO characteristic analysis of the amplitude marker bed, spectral characteristic analysis of the stacked section, AVO characteristic analysis of the typical well reservoir, and post-stack characteristic analysis of the target interval around the typical well, comprehensively and objectively ensuring the rationality of the gather optimization processing, avoiding the blindness of the gather optimization processing and the subjectivity of the setting of processing parameters, and being able to provide a high-quality data basis for reef-flat facies reservoir prediction.

[0063] In one example, the time difference correction processing includes:

[0064] Picking up the time shift relative to the zero offset through cross-correlation and correcting it according to the residual time shift theory, thereby flattening the first optimized pre-stack gathers to obtain the second optimized pre-stack gathers.

[0065] Specifically, cross-correlation is achieved by overlapping seismic signals in different local areas, finding the similar parts among them, and then performing correlation analysis on these similar parts to obtain more accurate seismic wave information and source location information. In the present invention, the absolute value cross-correlation of the seismic trace and the reference trace is used to pick up the time shift relative to the zero offset, and it is corrected according to the residual time shift theory, that is, the correlation coefficient and the threshold value of the time shift are used for control and optimization to obtain the final time shift, and then the first optimized pre-stack gathers are flattened to obtain the second optimized pre-stack gathers.

[0066] In one example, the spectral correction process includes:

[0067] By performing spectral compensation on the far offset gather in the second optimized prestack gather, a third optimized prestack gather is obtained.

[0068] In one example, the AVO feature analysis of the amplitude flag layer includes:

[0069] Comparatively analyzing the AVO features of the amplitude flag layer between the first optimized prestack gather and the prestack gather, and adjusting the parameters of the denoising process according to the analysis results to ensure that the overall fitting trend of the AVO of the amplitude flag layer of the first optimized prestack gather relative to the prestack gather remains unchanged and the amplitude scatter points are more convergent;

[0070] Comparatively analyzing the AVO features of the amplitude flag layer between the second optimized prestack gather and the first optimized prestack gather, and adjusting the parameters of the time difference correction process according to the analysis results to ensure that the overall fitting trend of the AVO of the amplitude flag layer of the second optimized prestack gather relative to the first optimized prestack gather remains unchanged and the amplitude scatter points are more convergent;

[0071] Comparatively analyzing the AVO features of the amplitude flag layer between the third optimized prestack gather and the second optimized prestack gather, and adjusting the parameters of the spectral correction process according to the analysis results to ensure that the overall fitting trend of the AVO of the amplitude flag layer of the third optimized prestack gather relative to the second optimized prestack gather remains unchanged and the amplitude scatter points are more convergent.

[0072] In one example, the spectral feature analysis of the stacked section includes:

[0073] Stacking the first optimized prestack gather and the prestack gather, performing spectral feature analysis on the stacked section, and adjusting the parameters of the denoising process according to the analysis results to ensure that there is no low-frequency or high-frequency loss in the first optimized prestack gather;

[0074] Stacking the second optimized prestack gather, the first optimized prestack gather and the prestack gather, performing spectral feature analysis on the stacked section, and adjusting the parameters of the time difference correction process according to the analysis results to ensure that there is no low-frequency or high-frequency loss in the second optimized prestack gather;

[0075] Stacking the third optimized prestack gather, the second optimized prestack gather, the first optimized prestack gather and the prestack gather, performing spectral feature analysis on the stacked section, and adjusting the parameters of the spectral correction process according to the analysis results to ensure that there is no low-frequency or high-frequency loss in the third optimized prestack gather.

[0076] In one example, the AVO feature analysis of the typical well reservoir includes:

[0077] Conduct a comparative analysis on the reservoir top AVO characteristics of the pre-stack gather, the first optimized pre-stack gather, and the synthetic gather of the typical well. Adjust the parameters of the denoising process according to the analysis results to ensure that the reservoir top AVO characteristics of the pre-stack gather, the first optimized pre-stack gather, and the synthetic gather are consistent;

[0078] Conduct a comparative analysis on the reservoir top AVO characteristics of the pre-stack gather, the second optimized pre-stack gather, and the synthetic gather. Adjust the parameters of the time difference correction process according to the analysis results to ensure that the reservoir top AVO characteristics of the pre-stack gather, the second optimized pre-stack gather, and the synthetic gather are consistent;

[0079] Conduct a comparative analysis on the reservoir top AVO characteristics of the pre-stack gather, the third optimized pre-stack gather, and the synthetic gather. Adjust the parameters of the spectrum correction process according to the analysis results to ensure that the reservoir top AVO characteristics of the pre-stack gather, the third optimized pre-stack gather, and the synthetic gather are consistent.

[0080] In an example, the post-stack characteristic analysis of the target interval around the typical well includes:

[0081] Overlay the first optimized pre-stack gather with the well-crossing line of the pre-stack gather, conduct a spectrum characteristic analysis on the target interval of the post-stack section, and adjust the parameters of the denoising process according to the analysis results to ensure that the structural characteristics and spectrum characteristics of the target interval of the post-stack section corresponding to the first optimized pre-stack gather and the pre-stack gather are consistent, or the data spectrum of the first optimized pre-stack gather is wider than that of the pre-stack gather;

[0082] Overlay the second optimized pre-stack gather with the well-crossing line of the first optimized pre-stack gather, conduct a spectrum characteristic analysis on the target interval of the post-stack section, and adjust the parameters of the time difference correction process according to the analysis results to ensure that the structural characteristics and spectrum characteristics of the target interval of the post-stack section corresponding to the second optimized pre-stack gather and the first optimized pre-stack gather are consistent, or the data spectrum of the second optimized pre-stack gather is wider than that of the first optimized pre-stack gather;

[0083] Overlay the third optimized pre-stack gather with the well-crossing line of the second optimized pre-stack gather, conduct a spectrum characteristic analysis on the target interval of the post-stack section, and adjust the parameters of the spectrum correction process according to the analysis results to ensure that the structural characteristics and spectrum characteristics of the target interval of the post-stack section corresponding to the third optimized pre-stack gather and the second optimized pre-stack gather are consistent, or the data spectrum of the third optimized pre-stack gather is wider than that of the second optimized pre-stack gather.

[0084] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments, but it is not intended to limit the present invention. It should be noted that, without conflict, the embodiments in the present invention and the features in the embodiments can be combined with each other.

[0085] Embodiment 1

[0086] This embodiment provides a pre-stack gather optimization processing method, including:

[0087] Obtain a pre-stack gather;

[0088] Perform denoising processing on the pre-stack gather through Radon transform. At the same time, by correcting the relative amplitude relationship of the near-offset gather, mid-offset gather, and far-offset gather in the pre-stack gather, make the amplitudes of different offset data more convergent, and obtain a first optimized pre-stack gather. The residual of the first optimized pre-stack gather and the pre-stack gather has no flat and useful signal;

[0089] Perform time difference correction processing on the first optimized pre-stack gather. Pick up the time shift amount relative to zero offset through cross-correlation and correct it according to the remaining time shift amount theory, so as to flatten the first optimized pre-stack gather and obtain a second optimized pre-stack gather. The remaining time difference of the second optimized pre-stack gather is zero;

[0090] Perform spectral correction processing on the second optimized pre-stack gather. Obtain a third optimized pre-stack gather by performing spectral compensation on the far-offset gather in the second optimized pre-stack gather;

[0091] During the above optimization processing, perform AVO characteristic analysis of the amplitude marker layer, spectral characteristic analysis of the stacked section, AVO characteristic analysis of the typical well reservoir, and post-stack characteristic analysis of the target layer section around the typical well on the first optimized pre-stack gather, the second optimized pre-stack gather, and the third optimized pre-stack gather respectively, so as to adjust the parameters of the denoising processing, time difference correction processing, and spectral correction processing, and ensure that the optimization processing quality of the above optimization processing steps meets the processing requirements.

[0092] The AVO characteristic analysis of the amplitude marker layer includes: comparing and analyzing the AVO characteristics of the amplitude marker layer of the first optimized pre-stack gather and the pre-stack gather, and adjusting the parameters of the denoising processing according to the analysis results to ensure that the overall fitting trend of the AVO of the amplitude marker layer of the first optimized pre-stack gather relative to the pre-stack gather remains unchanged and the amplitude scatter points are more convergent; comparing and analyzing the AVO characteristics of the amplitude marker layer of the second optimized pre-stack gather and the first optimized pre-stack gather, and adjusting the parameters of the time difference correction processing according to the analysis results to ensure that the overall fitting trend of the AVO of the amplitude marker layer of the second optimized pre-stack gather relative to the first optimized pre-stack gather remains unchanged and the amplitude scatter points are more convergent; comparing and analyzing the AVO characteristics of the amplitude marker layer of the third optimized pre-stack gather and the second optimized pre-stack gather, and adjusting the parameters of the spectral correction processing according to the analysis results to ensure that the overall fitting trend of the AVO of the amplitude marker layer of the third optimized pre-stack gather relative to the second optimized pre-stack gather remains unchanged and the amplitude scatter points are more convergent.

[0093] The analysis of the spectral characteristics of the stacked section includes: stacking the first optimized prestack gather with the prestack gather, analyzing the spectral characteristics of the stacked section, and adjusting the parameters of the denoising process according to the analysis results to ensure that there is no low-frequency or high-frequency loss in the first optimized prestack gather; stacking the second optimized prestack gather, the first optimized prestack gather, and the prestack gather, analyzing the spectral characteristics of the stacked section, and adjusting the parameters of the time difference correction process according to the analysis results to ensure that there is no low-frequency or high-frequency loss in the second optimized prestack gather; stacking the third optimized prestack gather, the second optimized prestack gather, the first optimized prestack gather, and the prestack gather, analyzing the spectral characteristics of the stacked section, and adjusting the parameters of the spectral correction process according to the analysis results to ensure that there is no low-frequency or high-frequency loss in the third optimized prestack gather.

[0094] The analysis of the AVO characteristics of the reservoir in the typical well includes: comparing and analyzing the AVO characteristics of the reservoir top of the prestack gather, the first optimized prestack gather, and the synthetic gather of the typical well, and adjusting the parameters of the denoising process according to the analysis results to ensure that the AVO characteristics of the reservoir top of the prestack gather, the first optimized prestack gather, and the synthetic gather are consistent; comparing and analyzing the AVO characteristics of the reservoir top of the prestack gather, the second optimized prestack gather, and the synthetic gather, and adjusting the parameters of the time difference correction process according to the analysis results to ensure that the AVO characteristics of the reservoir top of the prestack gather, the second optimized prestack gather, and the synthetic gather are consistent; comparing and analyzing the AVO characteristics of the reservoir top of the prestack gather, the third optimized prestack gather, and the synthetic gather, and adjusting the parameters of the spectral correction process according to the analysis results to ensure that the AVO characteristics of the reservoir top of the prestack gather, the third optimized prestack gather, and the synthetic gather are consistent.

[0095] The analysis of the post-stack characteristics of the target interval around the typical well includes: stacking the first optimized prestack gather with the well-traversing line of the prestack gather, analyzing the spectral characteristics of the target interval of the stacked section, and adjusting the parameters of the denoising process according to the analysis results to ensure that the structural characteristics and spectral characteristics of the target interval of the stacked section corresponding to the first optimized prestack gather and the prestack gather are consistent, or the data spectrum of the first optimized prestack gather is wider than that of the prestack gather; stacking the second optimized prestack gather with the well-traversing line of the first optimized prestack gather, analyzing the spectral characteristics of the target interval of the stacked section, and adjusting the parameters of the time difference correction process according to the analysis results to ensure that the structural characteristics and spectral characteristics of the target interval of the stacked section corresponding to the second optimized prestack gather and the first optimized prestack gather are consistent, or the data spectrum of the second optimized prestack gather is wider than that of the first optimized prestack gather; stacking the third optimized prestack gather with the well-traversing line of the second optimized prestack gather, analyzing the spectral characteristics of the target interval of the stacked section, and adjusting the parameters of the spectral correction process according to the analysis results to ensure that the structural characteristics and spectral characteristics of the target interval of the stacked section corresponding to the third optimized prestack gather and the second optimized prestack gather are consistent, or the data spectrum of the third optimized prestack gather is wider than that of the second optimized prestack gather.

[0096] Example 2

[0097] This embodiment provides a pre-stack gather optimization processing method, including:

[0098] Obtain the pre-stack gather to be optimized. First, perform denoising on the pre-stack gather through high-precision Radon transform. At the same time, correct the relative amplitude relationships of the near-offset gather, mid-offset gather, and far-offset gather in the pre-stack gather to make the amplitudes of data with different offsets more convergent. Also, ensure that there is no flat and useful signal in the residual between the denoised pre-stack gather and the original pre-stack gather. If there is a useful signal in the residual between the denoised pre-stack gather and the original pre-stack gather, adjust the correction parameters until there is no flat and useful signal in the residual between the denoised pre-stack gather and the original pre-stack gather, obtaining the first optimized pre-stack gather. Through denoising, the signal-to-noise ratio of the pre-stack gather can be improved, making the amplitude scatter points of the marker layer in the first optimized pre-stack gather more concentrated near the trend line. During this denoising process, perform AVO characteristic analysis of the amplitude marker layer, spectral characteristic analysis of the stacked section, AVO characteristic analysis of the typical well reservoir, and post-stack characteristic analysis of the target interval around the typical well on the first optimized pre-stack gather. Adjust the parameters of the denoising process according to the analysis results to ensure that the quality of the first optimized pre-stack gather meets the following processing requirements: the overall AVO fitting trend of the marker layer in the first optimized pre-stack gather after denoising is the same as that of the marker layer in the pre-stack gather before denoising, the amplitude scatter points are more convergent, there is no low-frequency or high-frequency loss, the AVO characteristics of the reservoir top in the pre-stack gather, the first optimized pre-stack gather, and the synthetic gather of the typical well are consistent, the structural characteristics and spectral characteristics of the reservoir section in the stacked sections of the pre-stack gather and the first optimized pre-stack gather are consistent, or the data spectrum of the first optimized pre-stack gather is wider than that of the pre-stack gather; Then, perform time difference correction on the denoised pre-stack gather. Pick up the time shift relative to the zero offset through cross-correlation and correct it according to the residual time shift theory to flatten the gather, ensuring that the residual time difference is zero or basically zero to highlight the AVO characteristics of the gather. If the residual time difference is not zero, adjust the parameters of the time correction until the residual time difference is zero or basically zero. During this time difference correction process, perform AVO characteristic analysis of the amplitude marker layer, spectral characteristic analysis of the stacked section, AVO characteristic analysis of the typical well reservoir, and post-stack characteristic analysis of the target interval around the typical well on the second optimized pre-stack gather. Adjust the parameters of the time difference correction process according to the analysis results to ensure that the quality of the second optimized pre-stack gather meets the following processing requirements: the overall AVO fitting trend of the marker layer in the second optimized pre-stack gather after time difference correction is the same as that of the marker layer in the first optimized pre-stack gather before time difference correction, the amplitude scatter points are more convergent, there is no low-frequency or high-frequency loss, the AVO characteristics of the reservoir top in the pre-stack gather, the first optimized pre-stack gather, the second optimized pre-stack gather, and the synthetic gather of the typical well are consistent, the structural characteristics and spectral characteristics of the reservoir section in the stacked sections of the first optimized pre-stack gather and the second optimized pre-stack gather are consistent, or the data spectrum of the second optimized pre-stack gather is wider than that of the first optimized pre-stack gather;Finally, the prestack gather after time difference correction is processed through spectral correction to address the issue of frequency mismatch between far and near traces caused by dynamic stretching. By performing spectral compensation on the far offset gather, the problem of low frequency in the far offset gather is improved, achieving the effect of eliminating the impact of dynamic stretching. During this spectral correction process, AVO characteristic analysis of the amplitude marker layer, spectral characteristic analysis of the stacked section, AVO characteristic analysis of typical well reservoirs, and post-stack characteristic analysis of the target layer section around typical wells are carried out on the third optimized prestack gather. Based on the analysis results, it is determined whether the parameters of the spectral correction process need to be adjusted to ensure that the quality of the second optimized prestack gather meets the following processing requirements: the overall AVO fitting trend of the marker layer in the third optimized prestack gather after spectral correction remains unchanged compared to that of the second optimized prestack gather before spectral correction, the amplitude scatter points are more convergent, there is no low-frequency or high-frequency loss, the AVO characteristics of the reservoir top in the prestack gather, the first optimized prestack gather, the second optimized prestack gather, the third optimized prestack gather, and the synthetic gather of the typical well are consistent, the structural and spectral characteristics of the reservoir section in the stacked sections of the second optimized prestack gather and the third optimized prestack gather are consistent, or the data spectrum of the third optimized prestack gather is wider than that of the second optimized prestack gather.

[0099] Taking the data of a certain actual gas field as an example, the reservoir in the study area is typical reef-flat facies carbonate rock, and the study series is the first and second members of the Feixianguan Formation. For the original prestack gather near the well, high-precision Radon transform is first performed to purify the gather background and improve the data signal-to-noise ratio. Figure 2 This is a comparison chart of the AVO characteristics of the original gather near the well and the denoised gather for a typical well in the study area. From left to right are the AVO characteristic diagrams of the original gather near the well and the denoised gather. Figure 2 It can be seen that through denoising, the signal-to-noise ratio of the gather is significantly improved, and there is no flat and useful signal in the residual gather. From the perspective of AVO characteristics, the overall AVO fitting trend of the marker layer remains unchanged after denoising, the amplitude values of the scatter points circled in red are corrected, the overall fitting trend is more convergent, and the amplitude scatter points are more concentrated near the trend line. Figure 3 This is a comparison chart of the AVO characteristics of the original gather near the well, the denoised gather, and the flattened (time difference corrected) gather. From left to right are the AVO characteristic diagrams of the original gather near the well, the denoised gather, and the flattened gather. From the fitting trend of the amplitude scatter points, the three are consistent, the amplitude scatter points are more convergent, and after time difference correction, the residual time difference of the gather is 0. Figure 4 This is a comparison chart of the AVO characteristics of the original gather near the well, the denoised gather, the flattened gather, the corrected (spectral correction) gather, and the synthetic gather. From left to right are the AVO characteristic diagrams of the original gather near the well, the denoised gather, the flattened gather, the corrected gather, and the synthetic gather. Figure 4It can be seen that the quality of the optimized gather is significantly improved. Not only are the signal-to-noise ratio and resolution increased, but the amplitude energy is also more focused. At the same time, the overall trend of the fitting curve of the amplitude scatter points remains unchanged and is closer to the synthetic gather. The residual moveout fitting curve coincides with the synthetic gather, both being 0. Figure 5 For the spectral characteristic analysis of the stacked section, the cross-well lines of the original gather beside the well, the denoised gather, the flattened gather, and the corrected gather are stacked, and spectral analysis is performed on the post-stack data. From Figure 5 It can be seen that the spectra at different processing stages are basically consistent, and no low or high-frequency loss is observed, ensuring the rationality of the optimized processing. Figure 6 This is a comparison chart of the AVO characteristics of the reservoir in a typical well. From left to right, they are the AVO characteristic maps of the reservoir top of the original gather beside the well, the optimized gather, and the synthetic gather. The AVO of the reservoir top of the original gather beside the well, the optimized gather, and the synthetic gather are all of type IV. The optimized gather is the pre-stack gather obtained by optimizing the original gather beside the well through denoising, moveout correction, and spectral correction. The convergence degree of the near, middle, and far partial amplitude scatter points of the optimized gather is significantly improved compared with the original gather beside the well, and the AVO characteristics are closer to the synthetic gather, verifying the rationality of the optimized processing. Figure 7 This is a comparison chart of the post-stack characteristics of the target interval around the well in a typical well. From left to right, they are the post-stack characteristic maps of the target interval of the original gather beside the well and the optimized gather. The cross-well lines of the original gather beside the well and the optimized gather are stacked, and spectral analysis is performed on the selected target interval range of the post-stack data. From Figure 7 It can be seen that the structural characteristics of the post-stack sections corresponding to the original gather beside the well and the optimized gather are basically the same. However, the energy of the reservoir section in the post-stack section corresponding to the optimized gather is stronger, the in-phase axis consistency is better, and the detailed information is richer. The corresponding spectrum is also slightly broadened, further verifying the rationality of the optimized processing. Through the application of this method, the original gather beside the well is effectively optimized. The noise of the original gather beside the well is suppressed, and both the signal-to-noise ratio and resolution are improved. The anomalies of the far-offset amplitude and moveout are eliminated. The amplitude energy consistency of the optimized gather is improved, and the convergence is better. The AVO characteristics of the optimized gather are enhanced and closer to the synthetic gather. At the same time, the four quality control methods adopted also ensure the rationality of the optimized processing, and finally provide a high-quality data basis for reef-flat facies reservoir prediction.

[0100] Embodiment 3

[0101] As Figure 8 shown, this embodiment provides a pre-stack gather optimization processing device, including:

[0102] An acquisition module, configured to acquire a pre-stack gather;

[0103] A denoising and correction module, which is used to denoise the pre-stack gather through Radon transform. Meanwhile, by correcting the relative amplitude relationship of the near-offset gather, mid-offset gather and far-offset gather in the pre-stack gather, the amplitudes of data with different offsets are made more convergent, and a first optimized pre-stack gather is obtained. There is no flat and useful signal in the residual between the first optimized pre-stack gather and the pre-stack gather.

[0104] A time difference correction module, which is used to perform time difference correction processing on the first optimized pre-stack gather to obtain a second optimized pre-stack gather, and the remaining time difference of the second optimized pre-stack gather is zero.

[0105] A spectrum correction module, which is used to perform spectrum correction processing on the second optimized pre-stack gather. By performing spectrum compensation on the far-offset gather in the second optimized pre-stack gather, a third optimized pre-stack gather is obtained.

[0106] A feature analysis and adjustment module, which is used to perform AVO feature analysis of the amplitude marker layer, spectral feature analysis of the stacking section, AVO feature analysis of the typical well reservoir, and post-stack feature analysis of the target interval around the typical well in the first optimized pre-stack gather, the second optimized pre-stack gather and the third optimized pre-stack gather respectively during the above optimization processing, so as to adjust the parameters of the denoising processing, time difference correction processing and spectrum correction processing, and ensure that the optimization processing quality of the above each optimization processing step meets the processing requirements.

[0107] Embodiment 4

[0108] This embodiment provides an electronic device, which includes:

[0109] At least one processor; and,

[0110] A memory communicatively connected to the at least one processor; wherein,

[0111] The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the pre-stack gather optimization processing method in Embodiment 1.

[0112] The electronic device according to an embodiment of the present disclosure includes a memory and a processor, and the 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.

[0113] 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 one embodiment of the present disclosure, the processor is used to run the computer-readable instructions stored in the memory.

[0114] Those skilled in the art should understand that, in order to solve the technical problem of how to obtain a good user experience effect, this embodiment may also include well-known structures such as communication buses, interfaces, etc., and these well-known structures should also be included in the protection scope of the present disclosure.

[0115] For the detailed description of this embodiment, reference may be made to the corresponding descriptions in the foregoing embodiments, and details will not be repeated here.

[0116] Embodiment 5

[0117] This embodiment provides a non-transitory computer-readable storage medium that stores computer instructions for causing a computer to execute the pre-stack gather optimization processing method in Embodiment 1.

[0118] According to the computer-readable storage medium of the embodiments of the present disclosure, 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 disclosure are executed.

[0119] The above computer-readable storage media include, but are not limited to: optical storage media (e.g., CD-ROM and DVD), magneto-optical storage media (e.g., MO), magnetic storage media (e.g., magnetic tape or removable hard disk), media with built-in rewritable non-volatile memory (e.g., memory card), and media with built-in ROM (e.g., ROM cartridge).

[0120] The 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 will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments.

Claims

1. A pre-stack gather optimization processing method, characterized in that: include: Get pre-stack gathers; De-noising the pre-stack gather by Radon transform, and at the same time, by correcting the relative amplitude relationship among the near-offset gather, the middle-offset gather and the far-offset gather in the pre-stack gather, the amplitudes of data with different offsets are made more convergent, so as to obtain a first optimized pre-stack gather, wherein the residual of the first optimized pre-stack gather and the pre-stack gather has no straight useful signal; Performing a time difference correction process on the first optimized pre-stack gather to obtain a second optimized pre-stack gather, wherein the residual time difference of the second optimized pre-stack gather is zero; performing spectrum correction processing on the second optimized pre-stack gathers to obtain third optimized pre-stack gathers; During the above-mentioned optimization processing, the first optimized pre-stack trace gather, the second optimized pre-stack trace gather and the third optimized pre-stack trace gather are respectively subjected to amplitude marker layer AVO feature analysis, stacked profile spectrum feature analysis, typical well reservoir AVO feature analysis and typical well perimeter layer post-stack feature analysis to adjust the parameters of the denoising processing, the time difference correction processing and the spectrum correction processing to ensure that the optimization processing quality of the above-mentioned optimization processing steps meets the processing requirements.

2. The pre-stack gather optimization processing method according to claim 1, characterized in that: The time difference correction process includes: The time shift relative to the zero offset is picked up by cross-correlation and corrected according to the residual time shift theory, so as to flatten the first optimized pre-stack gather and obtain the second optimized pre-stack gather.

3. The pre-stack gather optimization processing method according to claim 1, characterized in that: The spectrum correction process comprises: The third optimized pre-stack gather is obtained by performing spectrum compensation on the far-offset gather in the second optimized pre-stack gather.

4. The pre-stack gather optimization processing method according to claim 1, characterized in that: The AVO feature analysis of the amplitude marker layer includes: Comparative analysis is performed on the amplitude marker layer AVO characteristics of the first optimized pre-stack gather and the pre-stack gather, and the parameters of the denoising process are adjusted according to the analysis results to ensure that the overall fitting trend of the amplitude marker layer AVO of the first optimized pre-stack gather relative to the pre-stack gather remains unchanged, and the amplitude scatter points are more convergent; Comparative analysis is performed on the AVO characteristics of the amplitude marker layer of the second optimized pre-stack gather and the first optimized pre-stack gather, and the parameters of the time difference correction process are adjusted according to the analysis results to ensure that the overall fitting trend of the AVO of the amplitude marker layer of the second optimized pre-stack gather relative to the first optimized pre-stack gather remains unchanged, and the amplitude scatter points are more convergent; A comparative analysis is performed on the amplitude marker layer AVO features of the third optimized pre-stack gather and the second optimized pre-stack gather, and the parameters of the spectrum correction processing are adjusted according to the analysis results to ensure that the overall fitting trend of the amplitude marker layer AVO of the third optimized pre-stack gather relative to the second optimized pre-stack gather remains unchanged and the amplitude scatter points are more converged.

5. The pre-stack gather optimization processing method according to claim 1, characterized in that: The superposition profile spectrum feature analysis includes: Superimposing the first optimized pre-stack gather with the pre-stack gather, performing spectrum characteristic analysis on the post-stack profile, and adjusting the parameters of the denoising process according to the analysis result to ensure that the first optimized pre-stack gather has no low-frequency or high-frequency loss; Superimposing the second optimized pre-stack gather, the first optimized pre-stack gather and the pre-stack gather, performing spectrum characteristic analysis on the post-stack profile, and adjusting the parameters of the time difference correction processing according to the analysis result to ensure that the second optimized pre-stack gather has no low-frequency or high-frequency loss; The third optimized pre-stack trace gather, the second optimized pre-stack trace gather, the first optimized pre-stack trace gather and the pre-stack trace gather are superimposed, and a spectral characteristic analysis is performed on the post-stack profile. The parameters of the spectral correction processing are adjusted according to the analysis results to ensure that the third optimized pre-stack trace gather has no low-frequency or high-frequency loss.

6. The pre-stack gather optimization processing method according to claim 1, characterized in that: The typical well reservoir AVO characteristic analysis includes: Comparatively analyzing the reservoir top AVO characteristics of the pre-stack gather, the first optimized pre-stack gather, and the synthetic gather of the typical well, and adjusting the parameters of the denoising process according to the analysis results to ensure that the reservoir top AVO characteristics of the pre-stack gather, the first optimized pre-stack gather, and the synthetic gather are consistent; Comparatively analyzing the AVO characteristics of the reservoir top of the pre-stack gather, the second optimized pre-stack gather, and the synthetic gather, and adjusting the parameters of the time difference correction processing according to the analysis results to ensure that the AVO characteristics of the reservoir top of the pre-stack gather, the second optimized pre-stack gather, and the synthetic gather are consistent; A comparative analysis is performed on the reservoir top AVO characteristics of the pre-stack gather, the third optimized pre-stack gather and the synthetic gather, and the parameters of the spectrum correction processing are adjusted according to the analysis results to ensure that the reservoir top AVO characteristics of the pre-stack gather, the third optimized pre-stack gather and the synthetic gather are consistent.

7. The pre-stack gather optimization processing method according to claim 1, characterized in that: The post-stack characteristic analysis of the intervals around the typical wells includes: The first optimized pre-stack gather is superimposed with the well-crossing line of the pre-stack gather, and a spectrum characteristic analysis is performed on the target layer segment of the post-stack profile, and the parameters of the denoising process are adjusted according to the analysis result to ensure that the structural characteristics and spectrum characteristics of the target layer segment of the post-stack profile corresponding to the first optimized pre-stack gather and the pre-stack gather are consistent, or the data spectrum of the first optimized pre-stack gather is wider than the data spectrum of the pre-stack gather; The second optimized pre-stack gather is superimposed with the well line of the first optimized pre-stack gather, and the spectrum characteristics of the target layer segment of the post-stack profile are analyzed, and the parameters of the time difference correction processing are adjusted according to the analysis results to ensure that the structural characteristics and spectrum characteristics of the target layer segment of the post-stack profile corresponding to the second optimized pre-stack gather and the first optimized pre-stack gather are consistent, or the data spectrum of the second optimized pre-stack gather is wider than the data spectrum of the first optimized pre-stack gather; The third optimized pre-stack trace gather is superimposed with the wellbore line of the second optimized pre-stack trace gather, and the spectrum characteristics of the target layer segment of the post-stack profile are analyzed. According to the analysis results, the parameters of the spectrum correction processing are adjusted to ensure that the structural characteristics and spectrum characteristics of the target layer segment of the post-stack profile corresponding to the third optimized pre-stack trace gather and the second optimized pre-stack trace gather are consistent, or the data spectrum of the third optimized pre-stack trace gather is wider than the data spectrum of the second optimized pre-stack trace gather.

8. An electronic device, characterized in that: The electronic device comprises: at least one processor; and, a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the pre-stack gather optimization processing method described in any one of claims 1-7.

9. A non-transitory computer-readable storage medium, characterized in that: The non-transitory computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a computer to execute the pre-stack gather optimization processing method described in any one of claims 1-7.

10. A pre-stack gather optimization processing device, characterized in that: include: An acquisition module is used to obtain pre-stack gathers; A denoising and correction module is used to perform denoising on the pre-stack gather by Radon transform, and at the same time, by correcting the relative amplitude relationship among the near-offset gather, the middle-offset gather and the far-offset gather in the pre-stack gather, the amplitudes of data with different offsets are more converged, and a first optimized pre-stack gather is obtained, wherein the residual of the first optimized pre-stack gather and the pre-stack gather has no flat useful signal; A time difference correction module, used for performing time difference correction processing on the first optimized pre-stack gather to obtain a second optimized pre-stack gather, wherein the residual time difference of the second optimized pre-stack gather is zero; A spectrum correction module, used for performing spectrum correction processing on the second optimized pre-stack gather, and obtaining a third optimized pre-stack gather by performing spectrum compensation on the far-offset gather in the second optimized pre-stack gather; The feature analysis and adjustment module is used to perform amplitude marker layer AVO feature analysis, stacked profile spectrum feature analysis, typical well reservoir AVO feature analysis and typical well perimeter layer post-stack feature analysis on the first optimized pre-stack gather, the second optimized pre-stack gather and the third optimized pre-stack gather during the above-mentioned optimization process, so as to adjust the parameters of the denoising process, the time difference correction process and the spectrum correction process to ensure that the optimization process quality of the above-mentioned optimization process steps meets the processing requirements.

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