Method and device for generating weight control volume based on horizon data

Abstract

The invention relates to the technical field of geophysical exploration, and particularly discloses a weight control volume generation method and device based on horizon data, and the method comprises the steps: determining a to-be-updated region based on the analysis of an existing seismic section, and delineating an updating target; based on the update target, performing top-bottom interface interpretation to obtain top-bottom layer position information; resampling the top and bottom layer position information to obtain a chromatography grid; carrying out interpolation processing on the chromatography grid by adopting two-dimensional spline interpolation to obtain a speed model grid; and establishing a three-dimensional weight control body by utilizing horizon data under the speed model grid through weight control. The method comprises the following steps: firstly, picking up horizon information of a top-bottom interface of a target area, taking the horizon information as a data basis, carrying out resampling and local two-dimensional spline interpolation on the horizon to obtain a sampling horizon of a target grid, taking the sampled horizon as the top-bottom interface, and establishing an expected weight control body through weight control to realize real local updating.

Description

Technical Field

[0001] This invention relates to the field of geophysical exploration technology, specifically to a method and apparatus for generating a weighted control volume based on stratigraphic data. Background Technology

[0002] As the integration of processing and interpretation becomes increasingly sophisticated, incorporating interpretative information into the processing becomes crucial. This is especially true for depth domain velocity modeling, where updating local velocities effectively addresses inaccuracies while preserving accurate velocities within the target region. Practical velocity modeling requires a range of supporting technologies, with the generation of weight control volumes being critical for refined velocity modeling. Currently, a common approach involves completing depth domain velocity modeling, extracting velocity update values, and then editing these updates using the interpreted layers. This method is complex and updates the global velocity while retaining local velocities through editing, which is not truly updating the local velocity. Layer-constrained local updates should employ a weight control volume approach, introducing weight control during the tomographic inversion process (picking—ray tracing—matrix solving) to achieve true local updates.

[0003] Based on this technical background, the present invention studies a method and apparatus for generating weight control volumes based on hierarchical data. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides a method and apparatus for generating a weighted control volume based on layer data. The method first picks up the top and bottom interface layer information of the target region, and uses this as the data basis. By resampling the layers and performing local two-dimensional spline interpolation, the sampled layers of the target grid are obtained. Using the sampled layers as the top and bottom interfaces, the desired weighted control volume is established through weight control, thus achieving true local updates.

[0005] To achieve the above objectives, a first aspect of the present invention provides a method for generating a weight control volume based on hierarchical data, comprising:

[0006] Based on the analysis of existing seismic profiles, the areas to be updated are identified, and the update targets are delineated.

[0007] Based on the update target, the top and bottom interfaces are interpreted to obtain the top and bottom layer information;

[0008] The top and bottom layer information is resampled to obtain a tomographic grid;

[0009] The velocity model mesh is obtained by interpolating the tomographic mesh using two-dimensional spline interpolation;

[0010] A three-dimensional weighted control volume is established using the layer data under the velocity model mesh through weight control.

[0011] A second aspect of the present invention provides a weight control volume generation apparatus based on hierarchical data, comprising:

[0012] The update module is used to determine the area to be updated based on existing seismic profile analysis and to delineate the update targets.

[0013] The layer information acquisition module is used to interpret the top and bottom interfaces based on the update target to obtain the top and bottom layer information;

[0014] The resampling module is used to resample the top and bottom layer information to obtain the tomographic mesh;

[0015] An interpolation module is used to interpolate the tomographic grid using two-dimensional spline interpolation to obtain a velocity model grid.

[0016] The control volume establishment module is used to establish a three-dimensional weighted control volume using the layer data under the velocity model grid through weight control.

[0017] A third aspect of the present invention provides an electronic device, the electronic device comprising:

[0018] Memory, which stores executable instructions;

[0019] A processor that executes the executable instructions in the memory to implement the weight control volume generation method based on hierarchical data as described in the first aspect.

[0020] A fourth aspect of the present invention provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the weight control volume generation method based on hierarchical data as described in the first aspect.

[0021] The beneficial effects of this invention include:

[0022] (1) The weight control volume generation method based on layer data proposed in this invention first picks up the top and bottom interface layer information of the target area, and uses this as the data basis. By resampling the layer and local two-dimensional spline interpolation, the sampled layer of the target grid is obtained. The sampled layer is used as the top and bottom interface. By weight control, the desired weight control volume is established, and true local update is achieved.

[0023] (2) The weight control volume generation method based on layer data proposed in this invention realizes the updating of local velocity by taking the weight of 1 in the target area and the weight of 0 outside the target area during the tomographic inversion process (picking-ray tracing-matrix solving).

[0024] Other features and advantages of the present invention will be described in detail in the following detailed description section. Attached Figure Description

[0025] The above and other objects, features and advantages of the present invention will become more apparent from the more detailed description of exemplary embodiments of the invention in conjunction with the accompanying drawings.

[0026] Figure 1 This is a flowchart illustrating the weight control volume generation method based on layer data proposed in this invention.

[0027] Figure 2 This is a schematic diagram of the top interface of the target region to be inverted, as input in a specific embodiment of the weight control volume generation method based on layer data proposed in this invention.

[0028] Figure 3 This is a schematic diagram of the bottom interface of the target region to be inverted, as input in a specific embodiment of the weight control volume generation method based on layer data proposed in this invention.

[0029] Figure 4 This is a schematic diagram of the top interface after resampling and interpolation in a specific embodiment of the weight control volume generation method based on layer data proposed in this invention.

[0030] Figure 5 This is a schematic diagram of the bottom interface after resampling and interpolation in a specific embodiment of the weight control volume generation method based on layer data proposed in this invention.

[0031] Figure 6 This is a schematic diagram of a weight control body formed in a specific embodiment of the weight control body generation method based on layer data proposed in this invention.

[0032] Figure 7 This is a schematic diagram of the reflection point picked using weight control volume constraints in a specific embodiment of the weight control volume generation method based on layer data proposed in this invention.

[0033] Figure 8 This is a schematic diagram of the local velocity update amount constrained by the weight control volume in a specific embodiment of the weight control volume generation method based on layer data proposed in this invention. Detailed Implementation

[0034] Preferred embodiments of the invention will now be described in more detail. While preferred embodiments of the invention are described below, it should be understood that the invention can be implemented in various forms and should not be limited to the embodiments set forth herein.

[0035] This invention provides a method for generating a weighted control volume based on hierarchical data, such as... Figure 1As shown, it includes:

[0036] Based on the analysis of existing seismic profiles, the areas to be updated are identified, and the update targets are delineated.

[0037] Based on the update target, the top and bottom interfaces are interpreted to obtain the top and bottom layer information;

[0038] The tomographic mesh is obtained by resampling the top and bottom layer information;

[0039] Two-dimensional spline interpolation was used to interpolate the tomographic mesh to obtain the velocity model mesh;

[0040] A three-dimensional weighted control volume is established using the layer data under the velocity model mesh through weight control.

[0041] In this invention, the top and bottom interface layer information of the target area is first picked up. Based on this data, the sampling layer of the target grid is obtained by resampling the layer and local two-dimensional spline interpolation. The sampled layer is used as the top and bottom interface. By weight control, the desired weight control body is established, and true local update is achieved.

[0042] According to the present invention, the top and bottom interface interpretation to obtain the top and bottom sub-mesh information based on the update target includes:

[0043] Based on the updated target, the interpretation of the top and bottom interfaces is completed, and the top and bottom layer information is obtained.

[0044] According to the present invention, the top and bottom layer bit information is represented as follows:

[0045] L top (i,j) and L bot (i,j);

[0046] Where i and j are the grid numbers of the main survey line and the connecting line of the stratigraphic data, respectively, and L top (i,j) represents the top-level bit information, L bot (i,j) represents the underlying bit information.

[0047] According to the present invention, resampling the top and bottom layer information to obtain the tomographic mesh includes:

[0048] The top and bottom layer information is resampled, and the resampled top and bottom layer data is converted into a tomographic grid.

[0049] According to the present invention, the formula used to obtain the tomographic grid by resampling the top and bottom layer information is as follows:

[0050]

[0051] Where resample[] is the resampling operator, and These are the top and bottom layer data under the tomographic grid after resampling. This is the main survey line and connecting line grid for tomography.

[0052] Preferably, the velocity model mesh is obtained by interpolating the tomographic mesh using two-dimensional spline interpolation, including:

[0053] Two-dimensional spline interpolation is used to interpolate the tomographic grid, converting the top and bottom level data from the tomographic grid to the velocity model grid;

[0054] The formula used to interpolate the tomographic mesh to obtain the velocity model mesh is:

[0055]

[0056] Where biinterp[] is a two-dimensional spline interpolation operator. and These are the top and bottom layer bit data of the velocity model mesh after spline interpolation.

[0057] According to the present invention, the formula used to establish a three-dimensional weighted control volume using layer data under the velocity model mesh through weighted control is as follows:

[0058]

[0059] in, It is a three-dimensional weight control volume.

[0060] In this invention, during the tomographic inversion process (picking—ray tracing—matrix solving), a desired weight control volume is established by setting the weight within the target area to 1 and the weight outside the target area to 0, thereby realizing the updating of the local velocity.

[0061] The present invention will be described in more detail below through embodiments.

[0062] Example 1:

[0063] like Figure 1 As shown, this embodiment proposes a weight control volume generation method based on layer data. First, the top and bottom interface layer information of the target area is picked up. Based on this data, the sampled layer of the target grid is obtained by resampling the layer and local two-dimensional spline interpolation. The sampled layer is used as the top and bottom interface. The desired weight control volume is established by taking the weight of 1 in the target area and the weight of 0 outside the target area.

[0064] The specific steps are as follows:

[0065] First, the area to be updated is determined based on the analysis of existing seismic profiles, and the update target is delineated.

[0066] Based on the defined update objectives, the interpretation of the top and bottom interfaces is completed, and the top and bottom layer information L is obtained. top (i,j) and L bot (i,j), where i and j represent the grid numbers of the main survey line and the connecting line of the stratigraphic data, respectively;

[0067] Assuming the tomographic grid's principal survey line and connecting line grids are as follows: The top and bottom layer mesh information needs to be resampled into a tomographic mesh:

[0068]

[0069] Where resample[] represents the resampling operator, and These represent the top and bottom layer data under the tomographic grid after resampling. The top and bottom layer data can be converted to the tomographic grid after resampling.

[0070] Based on this, two-dimensional spline interpolation is used to interpolate the resampled top and bottom layer data, and the data difference of the tomographic grid is used as the velocity model grid to eliminate jagged boundaries:

[0071]

[0072] Where biinterp[] represents the two-dimensional spline interpolation operator. and These represent the top and bottom layer position data under the velocity model grid after spline interpolation. Spline interpolation can convert the top and bottom layer position data from the tomographic grid to the velocity model grid.

[0073] Based on this, a three-dimensional weighted control volume can be established. The formula is as follows:

[0074]

[0075] This completes the three-dimensional weight control volume. The construction of this weight control body allows for the establishment of tomographic reflection points, tomographic matrices, and weight constraints for matrix solving, thereby achieving the purpose of local updates.

[0076] In this embodiment, Figure 2 The top interface of the target area to be inverted is the input, and the input top interface layer can be any grid.

[0077] Figure 3 The bottom interface of the target area to be inverted is the input, and the input bottom interface layer can be any grid.

[0078] Figure 4This is a top interface plan view after resampling and interpolation. This plan view has been interpolated to the velocity grid size, and the interpolation result is relatively smooth.

[0079] Figure 5 This is a planar view of the bottom interface after resampling and interpolation. This planar view has been interpolated to the velocity grid size, and the interpolation result is relatively smooth.

[0080] Figure 6 As shown in the weight control volume established using the top and bottom interface planar diagram, it can be seen that the data has a weight of 1 only within the target area to be inverted, and 0 in other areas.

[0081] Figure 7 To constrain the picked reflection points using a weighted control volume, it can be seen that the range of picked reflection points is limited to the target area to be inverted.

[0082] Figure 8 To constrain the local velocity update amount by using the weighted control volume, it can be seen that the velocity update amount is not limited to the inversion target area.

[0083] Example 2:

[0084] This embodiment provides a method for generating a weighted control volume based on hierarchical data, such as... Figure 1 As shown, it includes:

[0085] Based on the analysis of existing seismic profiles, the areas to be updated are identified, and the update targets are delineated.

[0086] Based on the update target, the top and bottom interfaces are interpreted to obtain the top and bottom layer information;

[0087] The tomographic mesh is obtained by resampling the top and bottom layer information;

[0088] Two-dimensional spline interpolation was used to interpolate the tomographic mesh to obtain the velocity model mesh;

[0089] A three-dimensional weighted control volume is established using the layer data under the velocity model mesh through weight control;

[0090] In this embodiment, based on the update target, the top and bottom interface interpretation to obtain the top and bottom layer mesh information includes:

[0091] Based on the updated target, the interpretation of the top and bottom interfaces is completed, and the top and bottom layer information is obtained;

[0092] In this embodiment, the top-level bit information is represented as follows:

[0093] L top (i,j) and L bot (i,j);

[0094] Where i and j are the grid numbers of the main survey line and the connecting line of the stratigraphic data, respectively, and L top (i,j) represents the top-level bit information, L bot (i,j) represents the underlying bit information;

[0095] In this embodiment, resampling the top and bottom layer information to obtain the tomographic mesh includes:

[0096] The top and bottom level information is resampled, and the resampled top and bottom level data is converted into a tomographic grid.

[0097] In this embodiment, the formula used to resample the top and bottom layer information to obtain the tomographic grid is:

[0098]

[0099] Where resample[] is the resampling operator, and These are the top and bottom layer data under the tomographic grid after resampling. The tomographic grid consists of the main survey lines and connecting lines.

[0100] In this embodiment, the velocity model mesh is obtained by interpolating the tomographic mesh using two-dimensional spline interpolation, including:

[0101] Two-dimensional spline interpolation is used to interpolate the tomographic grid, converting the top and bottom level data from the tomographic grid to the velocity model grid;

[0102] The formula used to interpolate the tomographic mesh to obtain the velocity model mesh is:

[0103]

[0104] Where biinterp[] is a two-dimensional spline interpolation operator. and These are the top and bottom layer data of the velocity model mesh after spline interpolation;

[0105] In this embodiment, the formula used to establish the three-dimensional weighted control volume using the layer data under the velocity model mesh through weighted control is as follows:

[0106]

[0107] in, It is a three-dimensional weight control volume.

[0108] Example 3:

[0109] This embodiment provides a weight control volume generation device based on hierarchical data, including:

[0110] The update module is used to determine the area to be updated based on existing seismic profile analysis and to delineate the update targets.

[0111] The layer information acquisition module is used to obtain top and bottom layer information by interpreting the top and bottom interfaces based on the update target;

[0112] The resampling module is used to resample the top and bottom layer information to obtain the tomographic mesh;

[0113] The interpolation module is used to interpolate the tomographic mesh using two-dimensional spline interpolation to obtain the velocity model mesh.

[0114] The control volume creation module is used to create a three-dimensional weighted control volume using the layer data under the velocity model mesh through weight control.

[0115] In this embodiment, based on the update target, the top and bottom interface interpretation to obtain the top and bottom layer mesh information includes:

[0116] Based on the updated target, the interpretation of the top and bottom interfaces is completed, and the top and bottom layer information is obtained;

[0117] In this embodiment, the top-level bit information is represented as follows:

[0118] L top (i,j) and L bot (i,j);

[0119] Where i and j are the grid numbers of the main survey line and the connecting line of the stratigraphic data, respectively, and L top (i,j) represents the top-level bit information, L bot (i,j) represents the underlying bit information;

[0120] In this embodiment, resampling the top and bottom layer information to obtain the tomographic mesh includes:

[0121] The top and bottom level information is resampled, and the resampled top and bottom level data is converted into a tomographic grid.

[0122] In this embodiment, the formula used to resample the top and bottom layer information to obtain the tomographic grid is:

[0123]

[0124] Where resample[] is the resampling operator, and These are the top and bottom layer data under the tomographic grid after resampling. The tomographic grid consists of the main survey lines and connecting lines.

[0125] In this embodiment, the velocity model mesh is obtained by interpolating the tomographic mesh using two-dimensional spline interpolation, including:

[0126] Two-dimensional spline interpolation is used to interpolate the tomographic grid, converting the top and bottom level data from the tomographic grid to the velocity model grid;

[0127] The formula used to interpolate the tomographic mesh to obtain the velocity model mesh is:

[0128]

[0129] Where biinterp[] is a two-dimensional spline interpolation operator. and These are the top and bottom layer data of the velocity model mesh after spline interpolation;

[0130] In this embodiment, the formula used to establish the three-dimensional weighted control volume using the layer data under the velocity model mesh through weighted control is as follows:

[0131]

[0132] in, It is a three-dimensional weight control volume.

[0133] Example 4:

[0134] This invention provides an electronic device including a memory and a processor.

[0135] Memory, which stores executable instructions;

[0136] The processor executes executable instructions in memory to implement a weight control volume generation method based on hierarchical data.

[0137] This memory is used to store non-transitory computer-readable instructions. Specifically, the memory may include one or more computer program products, which may include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. The volatile memory may, for example, include random access memory (RAM) and / or cache memory. The non-volatile memory may, for example, include read-only memory (ROM), hard disk, flash memory, etc.

[0138] The processor 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 to perform desired functions. In one embodiment of the invention, the processor is used to execute computer-readable instructions stored in the memory.

[0139] Those skilled in the art should understand that, in order to solve the technical problem of how to achieve a good user experience, this embodiment may also include well-known structures such as communication buses and interfaces, and these well-known structures should also be included within the protection scope of this invention.

[0140] For a detailed description of this embodiment, please refer to the corresponding descriptions in the foregoing embodiments, which will not be repeated here.

[0141] Example 5:

[0142] This invention provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements a method for generating a weight control volume based on hierarchical data.

[0143] A computer-readable storage medium according to embodiments of the present invention stores non-transitory computer-readable instructions. When these non-transitory computer-readable instructions are executed by a processor, all or part of the steps of the methods described in the foregoing embodiments of the present invention are performed.

[0144] The aforementioned 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 portable hard drive), media with built-in rewritable non-volatile memory (e.g., memory card), and media with built-in ROM (e.g., ROM cartridge).

[0145] The weight control volume generation method based on layer data proposed in the embodiments of the present invention first picks up the top and bottom interface layer information of the target region, and uses this as the data basis. By resampling the layers and local two-dimensional spline interpolation, the sampled layers of the target grid are obtained. The sampled layers are used as the top and bottom interfaces. By weight control, the desired weight control volume is established, and true local update is achieved.

[0146] The various embodiments of the present invention have been described above. These descriptions are exemplary and not exhaustive, nor are they limited to the disclosed embodiments. Many modifications and variations will be apparent to those skilled in the art without departing from the scope and spirit of the described embodiments.

Claims

1. A method for generating a weight control volume based on horizon data, characterized in that, The method comprises the following steps: determining an area to be updated based on existing seismic profile analysis, and delineating an update target; interpreting top and bottom interfaces based on the update target to obtain top and bottom horizon information; resampling the top and bottom horizon information to obtain a tomographic grid; using two-dimensional spline interpolation to perform interpolation processing on the tomographic grid to obtain a velocity model grid; establishing a three-dimensional weight control volume using horizon data under the velocity model grid through weight control.

2. The method of claim 1, wherein, The step of interpreting top and bottom interfaces based on the update target to obtain top and bottom horizon grid information comprises the following steps: completing the interpretation of top and bottom interfaces based on the update target to obtain top and bottom horizon information.

3. The method of claim 1, wherein, The top and bottom horizon information is expressed as: L top (i,j) and L bot (i,j); Wherein, i, j are grid serial numbers of main measuring line and contact line of horizon data respectively, L top (i,j) is top horizon information, L bot (i,j) is bottom horizon information.

4. The method of claim 1, wherein, The step of resampling the top and bottom horizon information to obtain a tomographic grid comprises the following steps: resampling the top and bottom horizon information, and converting the resampled top and bottom horizon data to the tomographic grid.

5. The method of claim 3, wherein, The formula used in the step of resampling the top and bottom horizon information to obtain a tomographic grid is: where resample[] is a resampling operator, and are the top and bottom layer data under the resampled tomographic grid, respectively, is the main line and the connecting line grid of the tomographic grid.

6. The method of claim 5, wherein, The step of using two-dimensional spline interpolation to perform interpolation processing on the tomographic grid to obtain a velocity model grid comprises the following steps: using two-dimensional spline interpolation to perform interpolation processing on the tomographic grid, and converting the top and bottom horizon data from the tomographic grid to the velocity model grid. The formula used in the step of using two-dimensional spline interpolation to perform interpolation processing on the tomographic grid to obtain a velocity model grid is: where biinterp[] is a two-dimensional spline interpolation operator, and are the top and bottom layer potential data on the velocity model grid after spline interpolation, respectively.

7. The method of claim 6, wherein, The formula used in the step of establishing a three-dimensional weight control volume using horizon data under the velocity model grid through weight control is: wherein is a three-dimensional weight control body.

8. A weight control volume generation apparatus based on horizon data, characterized by, The method comprises the following steps: an update module, configured to determine an area to be updated based on existing seismic profile analysis, and delineate an update target; a horizon information acquisition module, configured to interpret top and bottom interfaces based on the update target to obtain top and bottom horizon information; a resampling module, configured to resample the top and bottom horizon information to obtain a tomographic grid; an interpolation processing module, configured to use two-dimensional spline interpolation to perform interpolation processing on the tomographic grid to obtain a velocity model grid; a control volume establishment module, configured to establish a three-dimensional weight control volume using horizon data under the velocity model grid through weight control.

9. An electronic device, comprising: The electronic device comprises: a memory, which stores executable instructions; a processor, which runs the executable instructions in the memory to implement the horizon data-based weight control volume generation method according to any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer readable storage medium stores a computer program, which is executed by a processor to implement the horizon data-based weight control volume generation method according to any one of claims 1-7.

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