An adaptive seismic acquisition scheme generation method and system
By calculating the redundancy of physical points in the seismic acquisition scheme and selecting acquisition points, an adaptive seismic acquisition scheme is generated, which solves the high cost problem of variable density seismic acquisition technology in complex reservoirs and realizes efficient, low-cost, and high-precision seismic exploration.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- CHINA PETROLEUM & CHEMICAL CORP
- Filing Date
- 2024-12-27
- Publication Date
- 2026-06-30
AI Technical Summary
Existing variable density seismic acquisition technology is difficult to adapt to the requirements of complex reservoirs, resulting in high costs and low efficiency.
By calculating the redundancy of each physical point in the high-density seismic acquisition scheme, physical points with a target redundancy less than or equal to the maximum redundancy are selected as acquisition points, generating an adaptive seismic acquisition scheme, and using a reconstruction algorithm to recover the unacquired data.
It significantly reduces the cost of high-density seismic acquisition while achieving high-precision seismic exploration results, providing reliable data support for oil and gas reservoir identification.
Smart Images
Figure CN122307652A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of seismic acquisition technology, and more specifically, to an adaptive seismic acquisition scheme generation method and system. Background Technology
[0002] The development of seismic acquisition technology has always prioritized addressing the needs of geological tasks, and the acquisition and observation system is the fundamental condition for achieving this goal. From conventional 3D seismic acquisition and secondary 3D re-acquisition to the comprehensive implementation of high-precision 3D and the promotion of high-density 3D, observation methods and acquisition parameters have undergone significant changes, resulting in a substantial improvement in the quality of seismic data. However, the substantial increase in investment costs for seismic acquisition projects has created significant obstacles to the widespread application of these new technologies.
[0003] In order to further increase the efforts in oil and gas exploration and development, while taking into account the current requirements for high-quality and low-cost exploration, this paper designs a variable density acquisition method based on the requirements of geological tasks and the different geological structural characteristics of the exploration area. The research and application of variable acquisition density and variable observation methods are aimed at achieving low-cost exploration and completing geological tasks.
[0004] Currently, variable density seismic acquisition technology is widely used in China, but most of them simply change the shot spacing, which is difficult to adapt to the requirements of complex reservoirs.
[0005] Therefore, how to solve the above problems is an urgent issue that needs to be addressed. Summary of the Invention
[0006] This application provides an adaptive seismic acquisition scheme generation method and system, which aims to improve the above-mentioned problems.
[0007] Firstly, this application provides an adaptive seismic acquisition scheme generation method, the method comprising:
[0008] Obtain the high-density seismic acquisition plan for the area to be surveyed;
[0009] Calculate the redundancy of each physical point in the high-density seismic acquisition scheme;
[0010] The maximum redundancy for each physical point is determined based on the redundancy and acquisition cost.
[0011] Select a target redundancy that is less than or equal to the maximum redundancy from all the redundancy values corresponding to the physical points, and use the physical points corresponding to the target redundancy values as collection points;
[0012] An adaptive seismic acquisition scheme is generated based on the acquisition points.
[0013] In one possible embodiment, calculating the redundancy of each physical point in the high-density seismic acquisition scheme includes:
[0014] Acquire high-density simulation data of the high-density seismic acquisition scheme;
[0015] The redundancy of each physical point is calculated based on the high-density simulation data.
[0016] In one possible embodiment, calculating the redundancy of each physical point based on the high-density simulation data includes:
[0017] The high-density simulation data is subjected to multiple rounds of random missing data.
[0018] Reconstruct the missing data in each round to obtain the reconstructed data;
[0019] The reconstructed data is then normalized to obtain normalized data.
[0020] The redundancy of each physical point is calculated based on the normalized data.
[0021] In one possible embodiment, calculating the redundancy of each physical point in the high-density seismic acquisition scheme includes:
[0022] Obtain actual data collected in the past;
[0023] The redundancy of each physical point in the high-density seismic acquisition scheme is calculated based on the actual data.
[0024] In one possible embodiment, calculating the redundancy of each physical point in the high-density seismic acquisition scheme based on the actual data includes:
[0025] The actual data was subjected to multiple rounds of random missing data.
[0026] Reconstruct the missing data in each round to obtain the reconstructed data;
[0027] The reconstructed data is then normalized to obtain normalized data.
[0028] Calculate the redundancy of each physical point based on the normalized data;
[0029] The redundancy distribution is matched to each physical point in the high-density seismic acquisition scheme using an interpolation method.
[0030] In one possible embodiment, before obtaining the high-density seismic acquisition scheme corresponding to the area to be surveyed, the method further includes:
[0031] Obtain geological task requirements;
[0032] A high-density seismic acquisition scheme is generated based on the geological task requirements.
[0033] Secondly, this application provides an adaptive seismic acquisition scheme generation system, the system comprising:
[0034] The acquisition unit is used to acquire the high-density seismic acquisition scheme corresponding to the area to be surveyed.
[0035] The first processing unit is used to calculate the redundancy of each physical point in the high-density seismic acquisition scheme.
[0036] The second processing unit is used to determine the maximum redundancy of each physical point based on the redundancy and acquisition cost;
[0037] A filtering unit is used to filter out a target redundancy that is less than or equal to the maximum redundancy from the redundancy corresponding to all the physical points, and the physical point corresponding to the target redundancy is used as a collection point.
[0038] The scheme generation unit is used to generate an adaptive seismic acquisition scheme based on the acquisition points.
[0039] In one possible embodiment, the first processing unit is specifically used for:
[0040] Acquire high-density simulation data of the high-density seismic acquisition scheme;
[0041] The redundancy of each physical point is calculated based on the high-density simulation data.
[0042] In one possible embodiment, calculating the redundancy of each physical point based on the high-density simulation data includes:
[0043] The high-density simulation data is subjected to multiple rounds of random missing data.
[0044] Reconstruct the missing data in each round to obtain the reconstructed data;
[0045] The reconstructed data is then normalized to obtain normalized data.
[0046] The redundancy of each physical point is calculated based on the normalized data.
[0047] In one possible embodiment, the first processing unit is specifically used for:
[0048] Obtain actual data collected in the past;
[0049] The redundancy of each physical point in the high-density seismic acquisition scheme is calculated based on the actual data.
[0050] The adaptive seismic acquisition scheme generation method and system provided in this application involve: acquiring a high-density seismic acquisition scheme for the area to be surveyed; calculating the redundancy of each physical point in the high-density seismic acquisition scheme; determining the maximum redundancy of each physical point based on the redundancy and acquisition cost; selecting target redundancy values less than or equal to the maximum redundancy from the redundancy values corresponding to all physical points, and using the physical points corresponding to the target redundancy values as acquisition points; and generating an adaptive seismic acquisition scheme based on the acquisition points. This allows for the calculation of the redundancy distribution of seismic data, omitting the acquisition of physical points with high redundancy in high-density acquisition, which can be well recovered later through reconstruction algorithms. Only essential key physical points with low redundancy are acquired, thus significantly reducing the cost of high-density seismic acquisition while achieving high-density acquisition results, which is of great significance for high-precision seismic exploration. Attached Figure Description
[0051] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.
[0052] Figure 1 This is a schematic diagram of the structure of an electronic device provided in the first embodiment of this application;
[0053] Figure 2 A flowchart illustrating an adaptive seismic acquisition scheme generation method provided in the second embodiment of this application;
[0054] Figure 3 for Figure 2 The diagram shows the redundancy distribution of physical points in an adaptive seismic acquisition scheme generation method.
[0055] Figure 4 for Figure 3 The diagram shows the physical points after redundancy filtering.
[0056] Figure 5 This is a schematic diagram of the functional modules of an adaptive seismic acquisition scheme generation system provided in the third embodiment of this application. Detailed Implementation
[0057] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.
[0058] First embodiment:
[0059] Figure 1 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. In this application, it can be... Figure 1 The schematic diagram shown illustrates an example electronic device 100 used to implement the adaptive seismic acquisition scheme generation method and system of the embodiments of this application.
[0060] The electronic device 100 is used to execute the adaptive seismic acquisition scheme generation method or adaptive seismic acquisition scheme generation system according to the embodiments of this application. For example, the electronic device 100 is used to perform the following steps:
[0061] Obtain the high-density seismic acquisition plan for the area to be surveyed;
[0062] Calculate the redundancy of each physical point in the high-density seismic acquisition scheme;
[0063] The maximum redundancy for each physical point is determined based on the redundancy and acquisition cost.
[0064] Select a target redundancy that is less than or equal to the maximum redundancy from all the redundancy values corresponding to the physical points, and use the physical points corresponding to the target redundancy values as collection points;
[0065] An adaptive seismic acquisition scheme is generated based on the acquisition points.
[0066] like Figure 1 The diagram shows the structure of an electronic device 100. The electronic device 100 includes one or more processors 102, one or more storage devices 104, input devices 106, and output devices 108. These components are interconnected via a bus system and / or other forms of connection mechanisms (not shown). It should be noted that... Figure 1 The components and structure of the electronic device 100 shown are merely exemplary and not limiting; the electronic device may have, as needed. Figure 1 The components shown may also have Figure 1 Other components and structures not shown.
[0067] The processor 102 may be a central processing unit (CPU) or other form of processing unit with data processing capabilities and / or instruction execution capabilities, and may control other components in the electronic device 100 to perform desired functions.
[0068] It should be understood that the processor 102 in the embodiments of this application may be a central processing unit (CPU), or it may be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor.
[0069] The storage device 104 may include one or more computer program products, which may include various forms of computer-readable storage media.
[0070] It should be understood that the storage device 104 in the embodiments of this application may be volatile memory or non-volatile memory, or may include both volatile and non-volatile memory. The non-volatile memory may be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), or flash memory. The volatile memory may be random access memory (RAM), which is used as an external cache. By way of example, but not limitation, many forms of random access memory (RAM) are available, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate synchronous DRAM (DDR SDRAM), enhanced synchronous DRAM (ESDRAM), synchronous linked DRAM (SLDRAM), and direct rambus RAM (DR RAM).
[0071] The computer-readable storage medium may store one or more computer program instructions, which the processor 102 may execute to implement the client functions (implemented by the processor) in the embodiments of this application described below, and / or other desired functions. Various applications and various data may also be stored in the computer-readable storage medium, such as various data used and / or generated by the applications.
[0072] The input device 106 may be a device used by a user to input commands, and may include one or more of the following: keyboard, mouse, microphone, and touch screen.
[0073] Second embodiment:
[0074] Reference Figure 2 The flowchart shown illustrates an adaptive seismic acquisition scheme generation method, which specifically includes the following steps:
[0075] Step S201: Obtain the high-density seismic acquisition scheme corresponding to the area to be surveyed.
[0076] As one implementation, before step S201, the method further includes: obtaining geological task requirements; and generating a high-density seismic acquisition scheme based on the geological task requirements.
[0077] For example, high-density acquisition schemes are designed based on geological mission requirements and the different geological structural characteristics of the exploration area.
[0078] Step S202: Calculate the redundancy of each physical point in the high-density seismic acquisition scheme.
[0079] As one implementation method, step S202 includes: acquiring high-density simulation data of the high-density seismic acquisition scheme; and calculating the redundancy of each physical point based on the high-density simulation data.
[0080] Optionally, the step of calculating the redundancy of each physical point based on the high-density simulation data includes: performing multiple rounds of random missing data on the high-density simulation data; reconstructing the missing data in each round to obtain reconstructed data; normalizing the reconstructed data to obtain normalized data; and calculating the redundancy of each physical point based on the normalized data.
[0081] Understandably, multiple rounds of random missing data are applied to the high-density simulation data to ensure that every data point participates in the missing data process.
[0082] It should be noted that the reconstruction methods in this embodiment include, but are not limited to, sparse transform-based reconstruction methods such as Fourier transform, wavelet transform, and curvelet transform; prediction filtering-based reconstruction methods; wave equation solving-based reconstruction methods; deep learning-based intelligent reconstruction methods; dictionary learning-based reconstruction methods; rank reduction-based reconstruction methods such as SVD; and constraint inversion-based reconstruction methods. No specific limitations are imposed here.
[0083] In other words, in this embodiment, high-density simulation data is acquired and multiple rounds of random missing data processing are performed. Then, the missing data in each round is reconstructed. Next, the reconstruction effect of the missing data is quantitatively evaluated and the results are normalized. Finally, the redundancy of each physical point is calculated based on the reconstruction quantification results.
[0084] As another implementation, step S202 includes: acquiring historically acquired actual data; and calculating the redundancy of each physical point in the high-density seismic acquisition scheme based on the actual data.
[0085] Optionally, calculating the redundancy of each physical point in the high-density seismic acquisition scheme based on the actual data includes: performing multiple rounds of random missing data on the actual data; reconstructing the missing data in each round to obtain reconstructed data; normalizing the reconstructed data to obtain normalized data; calculating the redundancy of each physical point based on the normalized data; and matching the redundancy distribution to each physical point in the high-density seismic acquisition scheme using an interpolation method.
[0086] In other words, this approach involves acquiring previously collected actual data and performing multiple rounds of random missing data to ensure that every data point participates in the missing data process. The missing data from each round is then reconstructed. The reconstruction effect of the missing data is quantitatively evaluated, and the results are normalized. The redundancy of each physical point is calculated based on the quantified reconstruction results. This redundancy distribution is then matched to the current high-density physical points using an interpolation method.
[0087] It should be noted that the reconstruction method in this embodiment can refer to the previous embodiment, and will not be repeated here.
[0088] For example, such as Figure 3 The diagram shows the redundancy of each physical point calculated in step S202.
[0089] Step S203: Determine the maximum redundancy of each physical point based on the redundancy and acquisition cost.
[0090] The cost of data collection can be obtained dynamically, such as through user input, or pre-stored data; no specific limitations are imposed here.
[0091] For example, after calculating the redundancy, the acquisition cost can be obtained, and then the maximum redundancy for each physical point can be calculated using the redundancy distribution and acquisition cost. No specific limitations are imposed here.
[0092] Step S204: Select a target redundancy that is less than or equal to the maximum redundancy from the redundancy corresponding to all the physical points.
[0093] The physical points corresponding to the target redundancy are used as collection points.
[0094] For example, assuming the maximum redundancy is 0.59, with Figure 3 For example, after filtering out physical points greater than 0.6, the remaining physical points are as follows: Figure 4 As shown.
[0095] Step S205: Generate an adaptive seismic acquisition scheme based on the acquisition points.
[0096] In summary, the adaptive seismic acquisition scheme generation method provided in this embodiment optimizes seismic acquisition design from the perspective of data reconstruction. If a shot or trace of seismic data can be accurately reconstructed after it is missing, it indicates that there is redundant acquisition of that shot or trace, and it does not need to be acquired. This allows limited acquisition costs to be used most appropriately. For the unacquired data, high-precision reconstruction is achieved through subsequent reconstruction algorithms, thus achieving an optimal balance between acquisition effectiveness and acquisition cost. In other words, this embodiment randomly omits simulated or actual data and reconstructs the missing data. Based on the reconstruction effect, the redundancy distribution of the seismic data is calculated. Physical points with high redundancy in high-density acquisition are not acquired, and can be well recovered through subsequent reconstruction algorithms. Only essential key physical points with low redundancy are acquired, which can significantly reduce the cost of high-density seismic acquisition while achieving high-density acquisition results. This is of great significance for high-precision seismic exploration and provides more reliable data support for seismic exploration and oil and gas reservoir identification.
[0097] Third embodiment:
[0098] See Figure 5 An adaptive seismic acquisition scheme generation system is shown. This system includes: an acquisition unit 510, a first processing unit 520, a second processing unit 530, a filtering unit 540, and a scheme generation unit 550. The specific functions of each unit are as follows:
[0099] Acquisition unit 510 is used to acquire the high-density seismic acquisition scheme corresponding to the area to be surveyed;
[0100] The first processing unit 520 is used to calculate the redundancy of each physical point in the high-density seismic acquisition scheme.
[0101] The second processing unit 530 is used to determine the maximum redundancy of each physical point based on the redundancy and acquisition cost.
[0102] The filtering unit 540 is used to filter out a target redundancy that is less than or equal to the maximum redundancy from the redundancy corresponding to all the physical points, and the physical point corresponding to the target redundancy is used as the collection point.
[0103] The scheme generation unit 550 is used to generate an adaptive seismic acquisition scheme based on the acquisition points.
[0104] In one possible embodiment, the first processing unit 520 is specifically configured to: acquire high-density simulation data of the high-density seismic acquisition scheme; and calculate the redundancy of each physical point based on the high-density simulation data.
[0105] Optionally, the step of calculating the redundancy of each physical point based on the high-density simulation data includes: performing multiple rounds of random missing data on the high-density simulation data; reconstructing the missing data in each round to obtain reconstructed data; normalizing the reconstructed data to obtain normalized data; and calculating the redundancy of each physical point based on the normalized data.
[0106] In another possible embodiment, the first processing unit 520 is specifically used to: acquire historically acquired actual data; and calculate the redundancy of each physical point in the high-density seismic acquisition scheme based on the actual data.
[0107] Optionally, calculating the redundancy of each physical point in the high-density seismic acquisition scheme based on the actual data includes: performing multiple rounds of random missing data on the actual data; reconstructing the missing data in each round to obtain reconstructed data; normalizing the reconstructed data to obtain normalized data; calculating the redundancy of each physical point based on the normalized data; and matching the redundancy distribution to each physical point in the high-density seismic acquisition scheme using an interpolation method.
[0108] In one possible embodiment, the adaptive seismic acquisition scheme generation system further includes: a task unit for: acquiring geological task requirements; and generating a high-density seismic acquisition scheme based on the geological task requirements.
[0109] Furthermore, this embodiment also provides a computer-readable storage medium storing a computer program, which, when run by a processing device, executes the steps of any of the adaptive seismic acquisition scheme generation methods provided in Embodiment 2 above.
[0110] The computer program product of the adaptive seismic acquisition scheme generation method and system provided in this application includes a computer-readable storage medium storing program code. The instructions included in the program code can be used to execute the methods described in the preceding method embodiments. For specific implementation, please refer to the method embodiments, which will not be repeated here.
[0111] It should be noted that the above embodiments can be implemented, in whole or in part, by software, hardware (such as circuits), firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented, in whole or in part, in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, all or part of the processes or functions described in the embodiments of this application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more sets of available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. A semiconductor medium can be a solid-state drive.
[0112] It should be understood that the term "and / or" in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A alone, A and B simultaneously, or B alone. A and B can be singular or plural. Additionally, the character " / " in this article generally indicates an "or" relationship between the preceding and following related objects, but it can also represent an "and / or" relationship. Please refer to the context for a more accurate understanding.
[0113] In this application, "at least one" means one or more, and "more than one" means two or more. "At least one of the following" or similar expressions refer to any combination of these items, including any combination of single or multiple items. For example, at least one of a, b, or c can mean: a, b, c, a-b, a-c, b-c, or a-b-c, where a, b, and c can be single or multiple.
[0114] It should be understood that in the various embodiments of this application, the order of the above-mentioned processes does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.
[0115] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.
[0116] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.
[0117] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.
[0118] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.
[0119] In addition, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.
[0120] The above description is merely a preferred embodiment of this application and is not intended to limit this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application. It should be noted that similar reference numerals and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures.
Claims
1. An adaptive seismic acquisition scheme generation method, characterized in that, The method includes: Obtain the high-density seismic acquisition plan for the area to be surveyed; Calculate the redundancy of each physical point in the high-density seismic acquisition scheme; The maximum redundancy for each physical point is determined based on the redundancy and acquisition cost. Select a target redundancy that is less than or equal to the maximum redundancy from all the redundancy values corresponding to the physical points, and use the physical points corresponding to the target redundancy values as collection points; An adaptive seismic acquisition scheme is generated based on the acquisition points.
2. The method according to claim 1, characterized in that, The calculation of the redundancy of each physical point in the high-density seismic acquisition scheme includes: Acquire high-density simulation data of the high-density seismic acquisition scheme; The redundancy of each physical point is calculated based on the high-density simulation data.
3. The method according to claim 2, characterized in that, The calculation of the redundancy of each physical point based on the high-density simulation data includes: The high-density simulation data is subjected to multiple rounds of random missing data. Reconstruct the missing data in each round to obtain the reconstructed data; The reconstructed data is then normalized to obtain normalized data. The redundancy of each physical point is calculated based on the normalized data.
4. The method according to claim 1, characterized in that, The calculation of the redundancy of each physical point in the high-density seismic acquisition scheme includes: Obtain actual data collected in the past; The redundancy of each physical point in the high-density seismic acquisition scheme is calculated based on the actual data.
5. The method according to claim 4, characterized in that, The calculation of the redundancy of each physical point in the high-density seismic acquisition scheme based on the actual data includes: The actual data was subjected to multiple rounds of random missing data. Reconstruct the missing data in each round to obtain the reconstructed data; The reconstructed data is then normalized to obtain normalized data. Calculate the redundancy of each physical point based on the normalized data; The redundancy distribution is matched to each physical point in the high-density seismic acquisition scheme using an interpolation method.
6. The method according to any one of claims 1-5, characterized in that, Before obtaining the high-density seismic acquisition plan for the area to be surveyed, the following steps are also included: Obtain geological task requirements; A high-density seismic acquisition scheme is generated based on the geological task requirements.
7. An adaptive seismic acquisition scheme generation system, characterized in that, The system includes: The acquisition unit is used to acquire the high-density seismic acquisition scheme corresponding to the area to be surveyed. The first processing unit is used to calculate the redundancy of each physical point in the high-density seismic acquisition scheme. The second processing unit is used to determine the maximum redundancy of each physical point based on the redundancy and acquisition cost; A filtering unit is used to filter out a target redundancy that is less than or equal to the maximum redundancy from the redundancy corresponding to all the physical points, and the physical point corresponding to the target redundancy is used as a collection point. The scheme generation unit is used to generate an adaptive seismic acquisition scheme based on the acquisition points.
8. The system according to claim 7, characterized in that, The first processing unit is specifically used for: Acquire high-density simulation data of the high-density seismic acquisition scheme; The redundancy of each physical point is calculated based on the high-density simulation data.
9. The system according to claim 8, characterized in that, The calculation of the redundancy of each physical point based on the high-density simulation data includes: The high-density simulation data is subjected to multiple rounds of random missing data. Reconstruct the missing data in each round to obtain the reconstructed data; The reconstructed data is then normalized to obtain normalized data. The redundancy of each physical point is calculated based on the normalized data.
10. The system according to claim 7, characterized in that, The first processing unit is specifically used for: Obtain actual data collected in the past; The redundancy of each physical point in the high-density seismic acquisition scheme is calculated based on the actual data.