Angle division method and device for angle-divided superposition body, electronic equipment and storage medium
Through AVO analysis and synthetic channel set generation, multiple superposition angle ranges are divided to obtain divided angle superposition bodies, which solves the problem of inapplicability of angle equalization method in pre-stack inversion and improves the quality and accuracy of inversion data.
Patent Information
- Application Number
- CN202311538139.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2023-11-17
- Publication Date
- 2025-05-20
AI Technical Summary
In reservoir prediction, the input data inversion before stacking usually selects 3 or 4 superimposed bodies of different angles. However, when the near and far paths are missing or the amplitude energy difference is large, the angle equalization method is no longer applicable, resulting in a decrease in the quality of the inversion data.
A method of angle division of angle superposition bodies is proposed. A synthetic channel set is generated through AVO analysis, and multiple superposition angle ranges are divided according to the maximum angle range of the prestack channel set and the AVO analysis results, and multiple sub-angle superposition bodies are obtained for prestack inversion.
The problem that the angle aliquot method cannot be applied when facing the large difference in the short and long distances of the track set and the amplitude energy is large, providing a high-quality inversion data foundation, and improving the accuracy of pre-stack inversion.
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Figure CN120020763A_ABST
Abstract
Description
Technical Field
[0001] The present invention belongs to the technical field of geophysical exploration, and more specifically, relates to a method for dividing the angles of sub-angular superposition bodies, an electronic device, a storage medium, and a device. Background Art
[0002] With the continuous deepening of exploration and development, the complexity of exploration targets has gradually increased, shifting from conventional oil and gas reservoirs to complex oil and gas reservoirs. As an effective means of reservoir prediction, seismic inversion technology has also developed from post-stack to pre-stack. Conventional post-stack wave impedance inversion methods are based on post-stack data and can only obtain a single reservoir elastic parameter, i.e., wave impedance information, which cannot meet the needs of complex oil and gas reservoir description. Pre-stack inversion technology can reflect the characteristics of amplitude variation with offset, and at the same time can make full use of shear wave information related to offset. Therefore, through pre-stack inversion, more elastic parameters reflecting the differences between reservoirs and non-reservoirs can be obtained, thus providing a richer and more accurate basis for reservoir prediction. At present, the input data for pre-stack inversion are usually pre-stack gathers or sub-angular superposition bodies. Considering many problems such as large amount of pre-stack gather data and low signal-to-noise ratio, currently, in reservoir prediction, the input data for pre-stack inversion usually select 3 or 4 superposition bodies at different angles, and perform inversion by inputting multiple sub-angular superposition bodies and extracting the comprehensive seismic wavelet.
[0003] Currently, when performing superposition at different angles based on pre-stack gathers, the angle equal division method is generally used, that is, (the maximum angle of the gather minus the minimum angle) divided by the number of superposition bodies. This method is applicable to the situation where the gather quality is high, such as relatively balanced amplitude energy and high phase consistency in near, middle, and far gathers. When there are missing traces in the near and far parts of the gather or the amplitude energy difference is large, the angle equal division method will no longer be applicable. Therefore, a more reasonable angle division method is needed to improve the quality of the inversion input data.
[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 method for dividing the angles of sub-angular superposition bodies, an electronic device, a storage medium, and a device, which realizes the division of the superposition angle range based on AVO analysis according to the maximum angle of the pre-stack gather and the division standard, provides a high-quality data basis for pre-stack inversion, and solves the problem that the angle equal division method is not applicable when there are missing traces in the near and far parts of the gather or the amplitude energy difference is large.
[0006] To achieve the above object, the present invention proposes a method for dividing the angles of sub-angular superposition bodies, an electronic device, a storage medium, and a device.
[0007] According to the first aspect of the present invention, an angle division method for sub - angle superposition bodies is proposed, including:
[0008] Obtain the pre - stack gather in the area, the pre - stack gather beside the typical well in the area, and the actual logging data of the typical well;
[0009] Based on the actual logging data, perform AVO forward modeling to generate a synthetic gather;
[0010] Perform AVO analysis on the marker bed of the pre - stack gather beside the well and the synthetic gather;
[0011] According to the maximum angle range of the pre - stack gather in the area, the AVO analysis result, and the division criteria, divide multiple stacking angle ranges, and perform angle division on the pre - stack gather in the area according to the multiple stacking angle ranges to obtain multiple sub - angle superposition bodies;
[0012] Perform pre - stack inversion through the multiple sub - angle superposition bodies.
[0013] Optionally, the performing AVO forward modeling based on the actual logging data to generate a synthetic gather specifically includes:
[0014] Based on the P - wave velocity, density, and S - wave velocity of the actual logging data, extract a suitable seismic wavelet for AVO forward modeling to generate a synthetic gather.
[0015] Optionally, the AVO analysis result includes:
[0016] The convergence degree of the amplitude scatter points of the marker bed of the pre - stack gather beside the well changing with the angle.
[0017] Optionally, the division criteria include:
[0018] The more dispersed the amplitude scatter points of the marker bed of the pre - stack gather beside the well are, the larger the stacking angle range is;
[0019] The multiple stacking angle ranges can cover the angle range of the pre - stack gather in the area after superposition;
[0020] The multiple stacking angle ranges are allowed to partially overlap.
[0021] Optionally, before performing pre - stack inversion through the multiple sub - angle superposition bodies, it further includes:
[0022] Calibrate the synthetic gather and the pre - stack gather beside the well to obtain the calibration time - depth relationship;
[0023] On the premise that the calibration time - depth relationship remains unchanged, extract wavelets from the multiple sub - angle superposition bodies respectively to obtain corresponding synthetic records;
[0024] Calculate the correlation coefficient between each of the sub - angle superposition bodies and the corresponding synthetic record respectively;
[0025] Judge whether the angle division meets the requirements of the pre - stack inversion according to the multiple correlation coefficients.
[0026] Optionally, when all the correlation coefficients are greater than 0.65, the angle division meets the requirements of the pre - stack inversion.
[0027] Optionally, after performing pre - stack inversion through multiple sub - angle superposition bodies, it further includes:
[0028] Compare the pre - stack inversion result with the actual logging data, and judge the effectiveness of the angle division of the sub - angle superposition body according to the degree of coincidence between the two.
[0029] According to the second aspect of the present invention, a device for dividing the angles of sub - angle superposition bodies is proposed, including:
[0030] An acquisition module, configured to acquire the regional pre - stack gather, the pre - stack gather beside the typical wells in the region, and the actual logging data of the typical wells;
[0031] A forward modeling module, configured to perform AVO forward modeling based on the actual logging data to generate a synthetic gather;
[0032] An analysis module, configured to perform AVO analysis on the marker beds of the pre - stack gather beside the wells and the synthetic gather;
[0033] A division and superposition module, configured to divide multiple superposition angle ranges according to the maximum angle range of the regional pre - stack gather, the AVO analysis result and the division criteria, and perform sub - angle superposition on the regional pre - stack gather according to the multiple superposition angle ranges to obtain multiple sub - angle superposition bodies;
[0034] An inversion module, configured to perform pre - stack inversion through multiple sub - angle superposition bodies.
[0035] According to the third aspect of the present invention, an electronic device is proposed, and the electronic device includes:
[0036] At least one processor; and,
[0037] A memory communicatively connected to the at least one processor; wherein,
[0038] 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 any of the methods for dividing the angles of sub - angle superposition bodies in the first aspect.
[0039] According to a fourth aspect of the present invention, a non-transitory computer-readable storage medium is provided, characterized in that the non-transitory computer-readable storage medium stores computer instructions for causing a computer to execute the angular division method of the sub-angle superposition body according to any one of the first aspects.
[0040] The beneficial effects of the present invention are as follows: By performing AVO forward modeling on the actual logging data of typical wells to generate synthetic gather, and then performing AVO analysis on the marker beds of the pre-stack gather and synthetic gather beside the typical wells. Based on the AVO analysis, multiple superposition angle ranges are determined according to the maximum angle range and division criteria of the regional pre-stack gather, and then multiple sub-angle superposition bodies are obtained for pre-stack inversion. This effectively solves the problem that the angle equal division method cannot be applied in the case of missing traces in the near and far traces of the gather and large amplitude energy differences, and can provide a high-quality data basis for pre-stack inversion, thus contributing to better application of pre-stack inversion in reservoir prediction.
[0041] The system of the present invention has other characteristics and advantages, which will be obvious 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. These accompanying drawings and detailed description are jointly used to explain the specific principles of the present invention. Brief Description of the Drawings
[0042] By describing the exemplary embodiments of the present invention in more detail in conjunction with the accompanying drawings, the above and other objects, features, and advantages of the present invention will become more obvious. In the exemplary embodiments of the present invention, the same reference numerals generally represent the same components.
[0043] Figure 1 A flowchart showing the steps of the angular division method of the sub-angle superposition body according to the present invention is shown.
[0044] Figure 2 A schematic diagram showing the original gather and the AVO analysis results of the synthetic gather of a typical well in the work area according to Embodiment 2 of the present invention is shown.
[0045] Figure 3 a, Figure 3 b, Figure 3 c, Figure 3 d, Figure 3 e and Figure 3respectively show the near - angle superposition body calibration schematic diagram of the equal - angle division method according to Embodiment 2 of the present invention, the near - angle superposition body calibration schematic diagram of the sub - angle superposition body angle division method according to Embodiment 2, the medium - angle superposition body calibration schematic diagram of the equal - angle division method according to Embodiment 2, the medium - angle superposition body calibration schematic diagram of the sub - angle superposition body angle division method according to Embodiment 2, the far - angle superposition body calibration schematic diagram of the equal - angle division method according to Embodiment 2, and the far - angle superposition body calibration schematic diagram of the sub - angle superposition body angle division method according to Embodiment 2.
[0046] Figure 4 show the sub - angle superposition body calibration sub - wave schematic diagram of the equal - angle division method according to Embodiment 2 of the present invention.
[0047] Figure 5 show the sub - angle superposition body calibration sub - wave schematic diagram of the sub - angle superposition body angle division method according to Embodiment 2 of the present invention.
[0048] Figure 6 show the pre - stack inversion result schematic diagram of the sub - angle superposition body of the equal - angle division method according to Embodiment 2 of the present invention.
[0049] Figure 7 show the pre - stack inversion result schematic diagram of the sub - angle superposition body of the sub - angle superposition body angle division method according to Embodiment 2 of the present invention.
[0050] Figure 8 show the schematic diagram of a sub - angle superposition body angle division device according to Embodiment 3 of the present invention. Detailed implementation manners
[0051] 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 can fully convey the scope of the present invention to those skilled in the art.
[0052] As Figure 1 shown, a sub - angle superposition body angle division method according to the present invention includes:
[0053] Obtain the pre - stack gather of the area, the pre - stack gather beside the typical well in the area, and the actual logging data of the typical well;
[0054] Based on the actual logging data, perform AVO forward modeling to generate a synthetic gather;
[0055] Perform AVO analysis on the marker beds of the pre - stack gather beside the well and the synthetic gather;
[0056] Divide multiple stacking angle ranges according to the maximum angle range of the pre-stack gathers in the area, the AVO analysis results, and the division criteria, and perform angle-divided stacking on the pre-stack gathers in the area according to the multiple stacking angle ranges to obtain multiple angle-divided stacked bodies;
[0057] Perform pre-stack inversion through multiple angle-divided stacked bodies.
[0058] Specifically, first select a typical well in the study area to obtain the pre-stack gathers in the study area, that is, the pre-stack gathers in the area, the actual logging data of the typical well, and the pre-stack gathers beside the well. Then, perform AVO forward modeling based on the actual logging data to generate a synthetic gather. Select a certain stable marker bed, compare and analyze the AVO characteristics of the marker bed in the pre-stack gathers beside the well and the synthetic gather, and analyze the convergence degree of the amplitude scatter points of the marker bed in the pre-stack gathers beside the well with the change of angle. Based on AVO analysis, that is, based on the convergence degree of the amplitude scatter points of the marker bed in the pre-stack gathers beside the well with the change of angle, and then divide multiple stacking angle ranges according to the maximum angle range of the pre-stack gathers in the area and the division criteria, and perform angle-divided stacking on the pre-stack gathers according to the multiple stacking angle ranges to obtain multiple angle-divided stacked bodies. For example, divide 3 stacking angle ranges to obtain 3 angle-divided stacked bodies, namely near, medium, and far. Finally, input the stacked angle-divided stacked bodies for pre-stack inversion. The present invention can compare the pre-stack inversion results with the actual logging results, and use the coincidence degree as the evaluation criterion to confirm the effectiveness of the angle division. The present invention is based on AVO analysis, divides the stacking angle range according to the maximum angle range of the pre-stack gathers in the area and the division criteria, provides a high-quality data basis for pre-stack inversion, and solves the problem that the method of equal angle division is not applicable when there are missing traces in the near and far traces of the gather or there is a large difference in amplitude energy.
[0059] In one example, performing AVO forward modeling based on the actual logging data to generate a synthetic gather specifically includes:
[0060] Extract a suitable seismic wavelet based on the P-wave velocity, density, and S-wave velocity of the actual logging data for AVO forward modeling to generate a synthetic gather.
[0061] In one example, the AVO analysis results include:
[0062] The convergence degree of the amplitude scatter points of the marker bed in the pre-stack gathers beside the well with the change of angle.
[0063] Specifically, perform AVO analysis on the marker bed in the pre-stack gathers beside the well to obtain the convergence degree of the amplitude scatter points of the marker bed in the pre-stack gathers beside the well with the change of angle, and perform AVO analysis on the marker bed in the synthetic gather to obtain the convergence degree of the amplitude scatter points of the marker bed in the synthetic gather with the change of angle.
[0064] In one example, the division criteria include:
[0065] The more dispersed the amplitude scatter points of the marker layer in the prestack gather near the well are, the larger the stacking angle range is;
[0066] The maximum angle range of the regional prestack gather can be covered after stacking multiple stacking angle ranges;
[0067] Multiple stacking angle ranges allow partial overlap.
[0068] Specifically, the division criterion of the present invention is formulated according to the results of AVO analysis, that is, based on the convergence degree of the amplitude scatter points of the marker layer in the prestack gather changing with the angle. The more dispersed the amplitude scatter points are, the larger the stacking angle range is. And the maximum angle range of the regional prestack gather can be covered after stacking multiple stacking angle ranges, and multiple stacking angle ranges allow partial overlap.
[0069] For example, if the maximum angle of the prestack gather is 30 degrees, according to the results of AVO analysis, the amplitude scatter points between 1 - 9 degrees change with the angle more convergently, the amplitude scatter points between 9 - 22 degrees are more dispersed, and the amplitude scatter points between 18 - 30 degrees change with the angle more dispersed. Then, according to the division criterion of the present invention, it can be divided into three stacking angle ranges: 1 - 9 degrees, 9 - 22 degrees, and 18 - 30 degrees.
[0070] In one example, before performing prestack inversion through multiple sub - angle stacking bodies, it further includes:
[0071] Calibrating the synthetic gather and the prestack gather near the well to obtain the calibration time - depth relationship;
[0072] On the premise that the calibration time - depth relationship remains unchanged, wavelet extraction is respectively performed on multiple sub - angle stacking bodies to obtain the corresponding synthetic records;
[0073] Calculating the correlation coefficient between each sub - angle stacking body and its corresponding synthetic record respectively;
[0074] Judging whether the angle division meets the requirements of prestack inversion according to multiple correlation coefficients.
[0075] Specifically, before performing prestack inversion through multiple sub - angle stacking bodies, calibrate the synthetic gather and the prestack gather near the well to obtain the calibration time - depth relationship. On the premise that the calibration time - depth relationship remains unchanged, wavelet extraction is respectively performed on multiple sub - angle stacking bodies to obtain the corresponding synthetic records. Calculate the correlation coefficient between each sub - angle stacking body and its corresponding synthetic record respectively, and judge whether the angle division meets the requirements of prestack inversion according to each correlation coefficient. If the correlation coefficient is relatively improved, it indicates that the angle division is reasonable and meets the requirements of prestack inversion.
[0076] In one example, when all correlation coefficients are greater than 0.65, the angle division meets the requirements of prestack inversion.
[0077] In one example, after pre-stack inversion through multiple sub-angle superposition bodies, it further includes:
[0078] Comparing the pre-stack inversion result with the actual logging data, and judging the effectiveness of the angle division of the sub-angle superposition body according to the degree of coincidence between the two.
[0079] Specifically, comparing the pre-stack inversion result with the actual logging data, and judging the effectiveness of the angle division of the sub-angle superposition body according to the degree of coincidence between the two. The higher the degree of coincidence, the more effective the angle division method of the sub-angle superposition body of the present invention is.
[0080] 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.
[0081] Embodiment 1
[0082] This embodiment provides a method for dividing the angles of a sub-angle superposition body, including:
[0083] Obtaining the pre-stack gather of the area, the pre-stack gather beside the typical well in the area, and the actual logging data of the typical well;
[0084] Based on the P-wave velocity, density, and S-wave velocity of the actual logging data, extracting a suitable seismic wavelet for AVO forward modeling to generate a synthetic gather;
[0085] Performing AVO analysis on the marker beds of the pre-stack gather beside the well and the synthetic gather;
[0086] Dividing multiple stacking angle ranges according to the maximum angle range of the pre-stack gather of the area, the AVO analysis result, and the division criterion, and dividing the pre-stack gather according to the multiple stacking angle ranges to obtain multiple sub-angle superposition bodies; the AVO analysis result includes the convergence degree of the amplitude scatter points of the marker bed of the pre-stack gather beside the well changing with the angle; the division criterion includes that the more dispersed the amplitude scatter points of the marker bed of the pre-stack gather beside the well are, the larger the stacking angle range is; the multiple stacking angle ranges can cover the maximum angle range of the pre-stack gather after superposition; the multiple stacking angle ranges allow partial overlap;
[0087] Calibrating the synthetic gather and the pre-stack gather beside the well to obtain the calibration time-depth relationship; on the premise that the calibration time-depth relationship remains unchanged, extracting wavelets for each of the multiple sub-angle superposition bodies respectively to obtain corresponding synthetic records; calculating the correlation coefficient between each sub-angle superposition body and the corresponding synthetic record respectively; judging whether the angle division meets the requirements of pre-stack inversion according to the multiple correlation coefficients. When all the correlation coefficients are greater than 0.65, the angle division meets the requirements of pre-stack inversion;
[0088] Perform prestack inversion through multiple sub-angles superposition bodies; compare the prestack inversion results with the actual logging data, and judge the effectiveness of the sub-angle superposition body angle division according to the coincidence degree between the two.
[0089] Embodiment 2
[0090] This embodiment provides a method for dividing the angles of sub-angle superposition bodies, including:
[0091] Select a typical well in the research area, obtain the regional prestack gather of the research area, the original prestack gather of the typical well and the actual logging data of the typical well. Based on the P-wave velocity, density and S-wave velocity of the actual logging data, extract appropriate seismic wavelets for AVO forward modeling to generate a synthetic gather. Select a certain stable marker bed, compare and analyze the AVO characteristics of the marker bed in the original prestack gather and the synthetic gather, and analyze the convergence degree of the amplitude scatter points of the marker bed in the original prestack gather with the change of the angle.
[0092] Through the AVO analysis results of the marker bed in the original prestack gather, divide the angle superposition range. The division criterion is that the more convergent the amplitude scatter points are, the relatively smaller the superposition angle range is, and the more dispersed the amplitude scatter points are, the relatively larger the superposition angle range is; divide multiple superposition angle ranges, perform sub-angle superposition on the regional prestack gather according to the multiple superposition angle ranges to obtain multiple sub-angle superposition bodies. After the superposition is completed, calibrate the synthetic gather and the original prestack gather to obtain the calibration time-depth relationship; on the premise that the calibration time-depth relationship remains unchanged, extract wavelets for each of the multiple sub-angle superposition bodies respectively to obtain the corresponding synthetic records; calculate the correlation coefficients between each sub-angle superposition body and the corresponding synthetic record respectively; judge whether the angle division meets the requirements of prestack inversion according to the multiple correlation coefficients; if it meets, input the superposed sub-angle superposition bodies for inversion, and compare the prestack inversion results with the actual logging results, and view the coincidence degree as the evaluation criterion to confirm the effectiveness of the angle division;
[0093] This embodiment uses two methods, namely angle equal division and sub-angle superposition body angle division, to perform sub-angle superposition on the prestack angle gather of a certain actual work area to verify the effectiveness of the sub-angle superposition body angle division method of this embodiment. Figure 2 It is a schematic diagram of the AVO analysis results of the original gather and the synthetic gather of the typical well in the work area. From Figure 2As can be seen, the top of the reservoir in the typical well is of Class IV AVO type. The amplitude energy of the near traces is relatively strong and the amplitude scatter points are relatively convergent. Therefore, it is necessary to appropriately increase the angle stacking range of the middle and far traces. According to the maximum angle range (0 - 30 degrees) of the pre-stack gathers in this work area, the AVO analysis of the marker beds in the original gathers and synthetic gathers of the typical well in this work area, and the convergence degree of the amplitude scatter points of the marker beds in the original gathers changing with the angle, the stacking angle range is divided into 1 - 11 degrees, 9 - 21 degrees, and 17 - 30 degrees. The pre-stack gathers in this work area are stacked by angles to obtain 3 angle-stacked volumes. At the same time, the pre-stack gathers in this work area are stacked by angles using the conventional equal-angle range (1 - 10 degrees, 11 - 20 degrees, 21 - 30 degrees) to obtain 3 equal-angle stacked volumes. After calibrating the angle-stacked volumes and equal-angle stacked volumes respectively, a comparative analysis is carried out. Figure 3 (a) and Figure 3 (b) are respectively the calibration schematic diagrams of the near-angle stacked volumes of the equal-angle division method and the angle division method of the angle-stacked volume in this embodiment. Figure 3 (c) and Figure 3 (d) are respectively the calibration schematic diagrams of the middle-angle stacked volumes of the equal-angle division method and the angle division method in this embodiment. Figure 3 (e) and Figure 3 (f) are respectively the calibration schematic diagrams of the far-angle stacked volumes of the equal-angle division method and the angle division method in this embodiment. Through comparison, it can be seen that the correlation coefficient of the near-angle stacked volume calibration based on this embodiment is slightly improved, and the correlation coefficients of the middle- and far-angle stacked volume calibrations are significantly improved (yellow represents the highest correlation coefficient of the stacked volume calibration, red is the second, green is the lowest, and the yellower the higher the correlation coefficient of the stacked volume calibration). Figure 4 and Figure 5 are respectively the pre-stack calibration wavelet schematic diagrams of the angle-stacked volumes of the equal-angle division method and the angle division method of the angle-stacked volume in this embodiment. The green is the pre-stack calibration wavelet of the near-angle stacked volume, the red is the pre-stack calibration wavelet of the middle-angle stacked volume, and the blue is the pre-stack calibration wavelet of the far-angle stacked volume. Through comparison, it can be known that Figure 4 and Figure 5 the pre-stack calibration wavelet morphologies of the stacked volumes are basically the same and are all near-zero phase, meeting the requirements of pre-stack inversion. Figure 6 and Figure 7 are respectively the schematic diagrams of the pre-stack inversion results of the angle-stacked volumes of the equal-angle division method and the angle division method of the angle-stacked volume in this embodiment. Through comparison, it can be seen that the signal-to-noise ratio of the pre-stack inversion results of the angle-stacked volume based on this embodiment is significantly improved, the lateral continuity becomes better, the coincidence with the well is higher, and at the same time, the resolution in the eastern part of the cross-well line is improved to a certain extent. Through the above comparison, it is proved that the angle division method of the angle-stacked volume in this embodiment can better solve the problem of low applicability of the angle division method of the angle-stacked volume required for pre-stack inversion at the present stage, can improve the quality of the inversion input data, and finally improve the accuracy of pre-stack inversion.
[0094] Example 3
[0095] As Figure 8 shown, this embodiment provides an angular division device for split-angle superposition bodies, including:
[0096] An acquisition module for acquiring pre-stack gathers in the area, pre-stack gathers beside the typical wells in the area, and actual logging data of the typical wells;
[0097] A forward modeling module for performing AVO forward modeling based on the actual logging data to generate synthetic gathers;
[0098] An analysis module for performing AVO analysis on the marker beds of the pre-stack gathers beside the wells and the synthetic gathers;
[0099] A division and superposition module for dividing multiple superposition angle ranges according to the maximum angle range of the pre-stack gathers in the area, the AVO analysis results, and the division criteria, and performing split-angle superposition on the pre-stack gathers in the area according to the multiple superposition angle ranges to obtain multiple split-angle superposition bodies;
[0100] An inversion module for performing pre-stack inversion through the multiple split-angle superposition bodies.
[0101] Example 4
[0102] This embodiment provides an electronic device, which includes:
[0103] At least one processor; and,
[0104] A memory communicatively connected to the at least one processor; wherein,
[0105] The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the split-angle superposition body angular division method in Example 1.
[0106] 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.
[0107] The processor can be a central processing unit (CPU) or other forms of processing units with data processing capabilities and / or instruction execution capabilities, and can control other components in the electronic device to perform desired functions. In an embodiment of the present disclosure, the processor is used to run the computer-readable instructions stored in the memory.
[0108] Those skilled in the art should understand that, in order to solve the technical problem of how to obtain a good user experience effect, well-known structures such as communication buses and interfaces may also be included in this embodiment, and these well-known structures should also be included in the protection scope of the present disclosure.
[0109] For a detailed description of this embodiment, reference can be made to the corresponding descriptions in the foregoing embodiments, and details will not be repeated here.
[0110] Embodiment 5
[0111] This embodiment provides a non-transitory computer-readable storage medium that stores computer instructions for causing a computer to execute the method for dividing the angles of the sub-angle superposition body in Embodiment 1.
[0112] According to the computer-readable storage medium of an embodiment of the present disclosure, non-transitory computer-readable instructions are stored thereon. When the non-transitory 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.
[0113] 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).
[0114] 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 are obvious to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments.
Claims
1. A method for dividing angles of an angle superposition body, characterized in that: include: Acquire regional pre-stack gathers, near-well pre-stack gathers of typical wells in the region, and actual logging data of the typical wells; Perform AVO forward modeling based on the actual logging data to generate synthetic gathers; Performing AVO analysis on the marker layers of the wellside prestack gather and the synthetic gather; Divide a plurality of stacking angle ranges according to the maximum angle range of the regional pre-stack gathers, the AVO analysis results and the division criteria, and perform angle-by-angle stacking on the regional pre-stack gathers according to the plurality of stacking angle ranges to obtain a plurality of angle-by-angle stacking bodies; Prestack inversion is performed using a plurality of the angle-divided stack volumes.
2. The angle division method of angle superposition body according to claim 1, characterized in that: The AVO forward modeling based on the actual logging data to generate synthetic gathers specifically includes: Based on the P-wave velocity, density and S-wave velocity of the actual logging data, appropriate seismic wavelets are extracted for AVO forward modeling to generate synthetic gathers.
3. The angle division method of angle superposition body according to claim 1, characterized in that: The AVO analysis results include: The degree of convergence of the amplitude scatter points of the marker layer of the wellside pre-stack gather and the synthetic gather with angle changes.
4. The angle division method of angle superposition body according to claim 3, characterized in that: The classification criteria include: The more dispersed the amplitude scatter points of the marker layer of the pre-stack gather near the well are, the larger the stacking angle range is; The maximum angle range of the pre-stack gathers in the region can be covered by the stacking of multiple stacking angle ranges; The plurality of superimposed angle ranges are allowed to partially overlap.
5. The angle division method of angle superposition body according to claim 1, characterized in that: Before performing pre-stack inversion through a plurality of the angle-divided stacking volumes, the method further includes: Calibrate the synthetic gather and the pre-stack gather near the well to obtain a calibration time-depth relationship; Under the premise that the calibration time-depth relationship remains unchanged, wavelet extraction is performed on the plurality of angle-divided stacks to obtain corresponding synthetic records; Calculate the correlation coefficient between each angle stack and the corresponding synthetic record respectively; Whether the angle division meets the requirements of the prestack inversion is determined according to the multiple correlation coefficients.
6. The angle division method of angle superposition body according to claim 5, characterized in that: When all the correlation coefficients are greater than 0.65, the angle division meets the requirements of the prestack inversion.
7. The angle division method of angle superposition body according to claim 1, characterized in that: After performing pre-stack inversion through a plurality of the angle-divided stacking volumes, the method further includes: The pre-stack inversion result is compared with the actual logging data, and the effectiveness of the angle division of the angle stacking volume is judged according to the degree of agreement between the two.
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 angle division method of the angle superposition body 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, which are used to enable a computer to execute the angle division method of the angle superposition body described in any one of claims 1-5.
10. An angle division device for an angle superposition body, characterized in that: include: An acquisition module is used to acquire regional pre-stack gathers, wellside pre-stack gathers of typical wells in the region, and actual logging data of the typical wells; A forward modeling module, used for performing AVO forward modeling based on the actual logging data to generate synthetic gathers; An analysis module, used for performing AVO analysis on the marker layers of the wellside prestack gather and the synthetic gather; A division and stacking module, used for dividing a plurality of stacking angle ranges according to the maximum angle range of the regional pre-stack gathers, the AVO analysis results and the division criteria, and performing angle-by-angle stacking on the regional pre-stack gathers according to the plurality of stacking angle ranges to obtain a plurality of angle-by-angle stacking bodies; The inversion module is used for performing pre-stack inversion through a plurality of the angle-divided stacking volumes.