Seismic data selection method, device and computer equipment

Abstract

The application provides a method and device for selecting seismic data and a computer device, and belongs to the technical field of seismic exploration. The method comprises the following steps: obtaining seismic data of a work area to be studied; obtaining a first attribute parameter of each shot point, a second attribute parameter of each receiver point, and a third attribute parameter of each bin point; selecting at least one target shot point, at least one target receiver point, and at least one target bin point from a plurality of shot points, a plurality of receiver points, and a plurality of bin points based on the first attribute parameter of each shot point, the second attribute parameter of each receiver point, and the third attribute parameter of each bin point; and determining target seismic data based on first seismic data of each target shot point, second seismic data of each target receiver point, and third seismic data of each target bin point, wherein the target seismic data is used for underground structure imaging. The method improves the accuracy of the target seismic data used for underground structure imaging.

Description

Technical Field

[0001] This application relates to the field of seismic exploration technology, and in particular to a method, apparatus and computer equipment for selecting seismic data. Background Technology

[0002] Seismic data is used for subsurface structural imaging, which provides information on subsurface geological structures and stratigraphic properties. However, due to the large volume of seismic data, performing subsurface structural imaging on all of it would place a tremendous burden on the seismic data processing system, resulting in significant time and effort commitments. Therefore, it is necessary to select a subset of seismic data for subsurface structural imaging.

[0003] In related technologies, when selecting seismic data, data is generally selected at equal intervals. However, the seismic data selected in this way has poor relevance and representativeness, which leads to poor accuracy in subsurface structural imaging based on the selected seismic data. Summary of the Invention

[0004] This application provides a method, apparatus, and computer device for selecting seismic data, which can improve the accuracy of the selected target seismic data. The technical solution is as follows:

[0005] On the one hand, a method for selecting seismic data is provided, the method comprising:

[0006] Seismic data of the work area to be studied is acquired. The seismic data includes first seismic data from multiple shot points, second seismic data from multiple receiver points, and third seismic data from multiple surface element points.

[0007] Obtain the first attribute parameter of each shot point, the second attribute parameter of each receiver point, and the third attribute parameter of each surface element point;

[0008] Based on the first attribute parameter of each shot point, the second attribute parameter of each receiver point, and the third attribute parameter of each surface element point, at least one target shot point, at least one target receiver point, and at least one target surface element point are selected from the plurality of shot points, the plurality of receiver points, and the plurality of surface element points. The at least one target shot point is a shot point whose first attribute parameter is within the range of a first preset attribute parameter. The at least one target receiver point is a receiver point whose second attribute parameter is within the range of a second preset attribute parameter. The at least one surface element point is a surface element point whose third attribute parameter is within the range of a third preset attribute parameter.

[0009] Based on the first seismic data of each target shot point, the second seismic data of each target receiver point, and the third seismic data of each target surface element point, target seismic data is determined, which is used for subsurface structural imaging.

[0010] In one possible implementation, the seismic data further includes shot-receiver grid data and common midpoint grid data. The step of selecting at least one target shot point, at least one target receiver point, and at least one target surface element point from the plurality of shot points, the plurality of receiver points, and the plurality of surface element points based on a first attribute parameter of each shot point, a second attribute parameter of each receiver point, and a third attribute parameter of each surface element point includes:

[0011] Based on the first seismic data and first attribute parameters of the multiple shot points, the second seismic data and second attribute parameters of the multiple receiver points, and the shot-receiver grid data, a shot-receiver base map is generated. The shot-receiver base map is a grid base map composed of multiple shot lines and multiple receiver lines. Each shot line includes multiple shot points, and each receiver line includes multiple receiver points.

[0012] Based on the third seismic data and third attribute parameters of the multiple surface elements, as well as the common center point grid data, a common center point base map is generated. The common center point base map is a grid base map composed of multiple main survey lines and multiple connecting lines. The multiple surface elements are located at multiple intersections of the multiple main survey lines and multiple connecting lines.

[0013] The first preset attribute parameter range, the second preset attribute parameter range, and the third preset attribute parameter range are obtained respectively. The first preset attribute parameter range, the second preset attribute parameter range, and the third preset attribute parameter range are used to select the target shot point, the target receiver point, and the target surface element point, respectively.

[0014] A first target area is determined in the shot detection base map. Based on the first attribute parameters of each shot point in the first target area and the first preset attribute parameter range, at least one target shot point is selected from multiple shot points in the first target area.

[0015] A second target region is determined in the shot receiver base map. Based on the second attribute parameters of each receiver point in the second target region and the range of the second preset attribute parameters, at least one target receiver point is selected from multiple receiver points in the second target region.

[0016] A third target region is determined in the common center point base map. Based on the third attribute parameter of each surface element point in the third target region and the preset range of the third attribute parameter, at least one target surface element point is selected from multiple surface element points in the third target region.

[0017] In one possible implementation, the method further includes:

[0018] An interactive interface is provided to display the shot detection base map and the common center point base map.

[0019] In response to a first touch operation on a target point of the shot-detector base map or the common center point base map, the attribute parameters of the target point are displayed, wherein the target point is a shot point, a receiver point, or a surface element point.

[0020] In response to a second touch operation on a target point of the shot-receiver base map or the common center point base map, a profile view of the seismic data of the target point is displayed, wherein the target point is a shot point, receiver point, or surface element point.

[0021] In one possible implementation, determining the target seismic data based on the first seismic data of each target shot point, the second seismic data of each target receiver point, and the third seismic data of each target surface element point includes:

[0022] At least one of the following is determined as the target seismic data: first seismic data of each target shot point, second seismic data of each target receiver point, and third seismic data of each target surface element point.

[0023] In one possible implementation, the method further includes:

[0024] Based on the target preprocessing parameters, the target seismic data is preprocessed to obtain the first target data;

[0025] The first target data is processed to obtain the second target data, which is used for underground structural imaging.

[0026] In one possible implementation, the method further includes:

[0027] Displays the preprocessing status of the target seismic data;

[0028] In response to a third touch operation on the target seismic data, the preprocessing of the target seismic data is paused;

[0029] In response to a fourth touch operation on the target seismic data, the preprocessing of the target seismic data is terminated.

[0030] In one possible implementation, the method further includes:

[0031] Based on the target seismic data and the first target data, determine the preprocessing effect of the target seismic data;

[0032] Based on the preprocessing effect of the target seismic data, the target preprocessing parameters are updated.

[0033] In one possible implementation, the process of obtaining the target preprocessing parameters is as follows:

[0034] Multiple preprocessing effects of historical earthquake data are obtained, where each preprocessing effect of the historical earthquake data is the processing effect obtained by preprocessing with one of multiple preprocessing parameters.

[0035] Based on the multiple preprocessing effects, the target preprocessing parameter is determined from the multiple preprocessing parameters.

[0036] On the other hand, a seismic data selection device is provided, the device comprising:

[0037] The first acquisition module is used to acquire seismic data of the work area to be studied. The seismic data includes first seismic data of multiple shot points, second seismic data of multiple receiver points, and third seismic data of multiple surface element points.

[0038] The second acquisition module is used to acquire the first attribute parameter of each shot point, the second attribute parameter of each receiver point, and the third attribute parameter of each surface element point.

[0039] The selection module is used to select at least one target shot point, at least one target receiver point, and at least one target surface element point from the plurality of shot points, the plurality of receiver points, and the plurality of surface element points based on the first attribute parameter of each shot point, the second attribute parameter of each receiver point, and the third attribute parameter of each surface element point. The at least one target shot point is a shot point whose first attribute parameter is within a first preset attribute parameter range, the at least one target receiver point is a receiver point whose second attribute parameter is within a second preset attribute parameter range, and the at least one surface element point is a surface element point whose third attribute parameter is within a third preset attribute parameter range.

[0040] The first determining module is used to determine target seismic data based on the first seismic data of each target shot point, the second seismic data of each target receiver point, and the third seismic data of each target surface element point. The target seismic data is used for subsurface structural imaging.

[0041] In one possible implementation, the selection module is used to:

[0042] Based on the first seismic data and first attribute parameters of the multiple shot points, the second seismic data and second attribute parameters of the multiple receiver points, and the shot-receiver grid data, a shot-receiver base map is generated. The shot-receiver base map is a grid base map composed of multiple shot lines and multiple receiver lines. Each shot line includes multiple shot points, and each receiver line includes multiple receiver points.

[0043] Based on the third seismic data and third attribute parameters of the multiple surface elements, as well as the common center point grid data, a common center point base map is generated. The common center point base map is a grid base map composed of multiple main survey lines and multiple connecting lines. The multiple surface elements are located at multiple intersections of the multiple main survey lines and multiple connecting lines.

[0044] The first preset attribute parameter range, the second preset attribute parameter range, and the third preset attribute parameter range are obtained respectively. The first preset attribute parameter range, the second preset attribute parameter range, and the third preset attribute parameter range are used to select the target shot point, the target receiver point, and the target surface element point, respectively.

[0045] A first target area is determined in the shot detection base map. Based on the first attribute parameters of each shot point in the first target area and the first preset attribute parameter range, at least one target shot point is selected from multiple shot points in the first target area.

[0046] A second target region is determined in the shot receiver base map. Based on the second attribute parameters of each receiver point in the second target region and the range of the second preset attribute parameters, at least one target receiver point is selected from multiple receiver points in the second target region.

[0047] A third target region is determined in the common center point base map. Based on the third attribute parameter of each surface element point in the third target region and the preset range of the third attribute parameter, at least one target surface element point is selected from multiple surface element points in the third target region.

[0048] In one possible implementation, the device further includes:

[0049] The display module is used to display the interactive interface, which is used to display the shot-and-receiver base map and the common center point base map.

[0050] The first display module is used to display the attribute parameters of the target point in response to a first touch operation on the target point of the shot-detector base map or the common center point base map, wherein the target point is a shot point, a receiver point or a surface element point.

[0051] The second display module is used to display a profile of the seismic data of the target point in response to a second touch operation on the shot-receiver base map or the common center point base map. The target point is a shot point, receiver point, or surface element point.

[0052] In one possible implementation, the first determining module is configured to:

[0053] At least one of the following is determined as the target seismic data: first seismic data of each target shot point, second seismic data of each target receiver point, and third seismic data of each target surface element point.

[0054] In one possible implementation, the device further includes:

[0055] The first processing module is used to preprocess the target seismic data based on the target preprocessing parameters to obtain the first target data;

[0056] The second processing module is used to perform basic processing on the first target data to obtain second target data, which is used for underground structural imaging.

[0057] In one possible implementation, the device further includes:

[0058] The third display module is used to display the preprocessing status of the target seismic data;

[0059] A pause module is used to pause the preprocessing of the target seismic data in response to a third touch operation on the target seismic data;

[0060] The termination module is used to terminate the preprocessing of the target seismic data in response to a fourth touch operation on the target seismic data.

[0061] In one possible implementation, the device further includes:

[0062] The second determining module is used to determine the preprocessing effect of the target seismic data based on the target seismic data and the first target data;

[0063] An update module is used to update the target preprocessing parameters based on the preprocessing effect of the target seismic data.

[0064] In one possible implementation, the first processing module is configured to:

[0065] Multiple preprocessing effects of historical earthquake data are obtained, where each preprocessing effect of the historical earthquake data is the processing effect obtained by preprocessing with one of multiple preprocessing parameters.

[0066] Based on the multiple preprocessing effects, the target preprocessing parameter is determined from the multiple preprocessing parameters.

[0067] On the other hand, a computer device is provided, the computer device including one or more processors and one or more memories, the one or more memories storing at least one instruction, the at least one instruction being loaded and executed by the one or more processors to perform the operation performed by the seismic data selection method described in any of the above implementations.

[0068] On the other hand, a computer-readable storage medium is provided, wherein at least one instruction is stored in the computer-readable storage medium, the at least one instruction being loaded and executed by a processor to perform the operation performed by the seismic data selection method described in any of the above implementations.

[0069] On the other hand, a computer program product or computer program is provided, the computer program product or computer program including computer program code stored in a computer-readable storage medium. A processor of a computer device reads the computer program code from the computer-readable storage medium, and the processor executes the computer program code, causing the computer device to perform the operations performed by the above-described method for selecting seismic data.

[0070] The beneficial effects of the technical solutions provided in this application include at least the following:

[0071] This application provides a method for selecting seismic data. The method determines target shot points, target receiver points, and target surface element points whose attribute parameters are within a preset range based on the attribute parameters of shot points, receiver points, and surface element points. This makes the seismic data of target shot points, target receiver points, and target surface element points more targeted and representative. Consequently, the target seismic data determined based on the seismic data of target shot points, receiver points, and target surface element points is also more targeted and representative, thereby improving the accuracy of target seismic data used for subsurface structural imaging. Attached Figure Description

[0072] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0073] Figure 1 This is a flowchart of a method for selecting seismic data provided in an embodiment of this application;

[0074] Figure 2 This is a schematic diagram of a shot inspection base provided in an embodiment of this application;

[0075] Figure 3This is a schematic diagram of the minimum offset distance of a surface element provided in an embodiment of this application;

[0076] Figure 4 This is a schematic diagram illustrating the number of times a surface element is covered, provided in an embodiment of this application.

[0077] Figure 5 This is an interactive interface diagram provided in an embodiment of this application;

[0078] Figure 6 This is a cross-sectional view of a multi-branch preprocessing effect provided in an embodiment of this application;

[0079] Figure 7 This is a cross-sectional view before and after static correction preprocessing provided in an embodiment of this application;

[0080] Figure 8 This is a cross-sectional view of linear noise before and after preprocessing, provided in an embodiment of this application;

[0081] Figure 9 This is a cross-sectional view of a linear correction preprocessing method provided in an embodiment of this application;

[0082] Figure 10 This is a block diagram of a seismic data selection device provided in an embodiment of this application;

[0083] Figure 11 This is a block diagram of a computer device provided in an embodiment of this application. Detailed Implementation

[0084] To make the objectives, technical solutions, and advantages of this application clearer, the embodiments of this application will be described in further detail below with reference to the accompanying drawings.

[0085] The terms "first," "second," "third," and "fourth," etc., used in the specification, claims, and accompanying drawings of this application are used to distinguish different objects, not to describe a specific order. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or apparatuses.

[0086] This application provides a method for selecting seismic data; see [link to relevant documentation]. Figure 1 The methods include:

[0087] Step 101: The computer equipment acquires seismic data of the work area to be studied.

[0088] The seismic data includes first-order seismic data from multiple shot points, second-order seismic data from multiple receiver points, and third-order seismic data from multiple surface elements. Seismic data for the area under study can be obtained from a seismic data database for that area.

[0089] Step 102: The computer device acquires the first attribute parameters of each shot point, the second attribute parameters of each receiver point, and the third attribute parameters of each surface element point.

[0090] The first attribute parameters include surface elevation, static correction, coverage count, and minimum offset; the second attribute parameters include surface elevation, static correction, coverage count, and minimum offset; and the third attribute parameters include surface elevation, static correction, coverage count, and minimum offset. All three attribute parameters can be obtained from the seismic data database of the study area.

[0091] Step 103: The computer device selects at least one target shot point, at least one target receiver point, and at least one target surface element point from multiple shot points, multiple receiver points, and multiple surface element points based on the first attribute parameter of each shot point, the second attribute parameter of each receiver point, and the third attribute parameter of each surface element point.

[0092] Among them, at least one target shot point is a shot point with the first attribute parameter within the range of the first preset attribute parameter, at least one target receiver point is a receiver point with the second attribute parameter within the range of the second preset attribute parameter, and at least one surface element point is a surface element point with the third attribute parameter within the range of the third preset attribute parameter.

[0093] It should be noted that the seismic data for the study area also includes shot-receiver grid data and common midpoint grid data. The shot-receiver grid data includes the first coordinates of multiple shot points, the second coordinates of multiple receiver points, the line numbers of multiple shot lines, and the line numbers of multiple receiver lines. The common midpoint grid data includes the third coordinates of multiple surface elements, the line numbers of multiple main survey lines, and the line numbers of multiple connecting lines.

[0094] This step can be achieved through the following steps (1)-(6):

[0095] (1) The computer equipment generates a shot-sensor base map based on the first seismic data and first attribute parameters of multiple shot points, the second seismic data and second attribute parameters of multiple receiver points, and shot-sensor grid data.

[0096] The shot-receiver base map is a grid base map composed of multiple shot lines and multiple receiver lines. Each shot line includes multiple shot points, and each receiver line includes multiple receiver points.

[0097] See Figure 2 , Figure 2This is a schematic diagram of a shot-receiver base map, with multiple shot lines and multiple receiver lines arranged in parallel. Each shot line has multiple shot points, and each receiver line has multiple receiver points.

[0098] (2) The computer equipment generates a common center point base map based on the third seismic data and third attribute parameters of multiple surface element points, as well as the common center point grid data.

[0099] Among them, the common center point base map is a grid base map composed of multiple main survey lines and multiple connecting lines, with multiple surface element points located at multiple intersections of multiple main survey lines and multiple connecting lines.

[0100] (3) The computer device acquires the first preset attribute parameter range, the second preset attribute parameter range and the third preset attribute parameter range respectively.

[0101] The first preset attribute parameter range, the second preset attribute parameter range, and the third preset attribute parameter range are used to select the target shot point, the target receiver point, and the target surface element point, respectively.

[0102] (4) The computer equipment determines the first target area in the shot detection base map, and selects at least one target shot point from multiple shot points in the first target area based on the first attribute parameters and the first preset attribute parameter range of each shot point in the first target area.

[0103] The first target area can be a river area, a mountainous area, or a land area, or it can be an area containing a single firing line or an area composed of multiple firing lines. The computer equipment selects firing points within the first target area whose first attribute parameter falls within a range of preset attribute parameters as target firing points.

[0104] For example, if the first attribute parameter is the ground elevation, then the range of the first preset attribute parameter can be a ground elevation of 50-100 meters. The firing points within the first target area with a ground elevation of 50-100 meters are selected as target firing points.

[0105] (5) The computer equipment determines the second target area in the shot receiver base map, and selects at least one target receiver from multiple receivers in the second target area based on the second attribute parameters and the range of the second preset attribute parameters of each receiver in the second target area.

[0106] The second target area can be a river area, a mountainous area, or a land area, or it can be an area containing a single receiving line or an area composed of multiple receiving lines. The computer equipment selects the receiver points within the second target area whose second attribute parameters fall within the range of the second preset attribute parameters as target receiver points.

[0107] (6) The computer device determines the third target region in the common center point base map, and selects at least one target surface point from multiple surface points of the third target region based on the third attribute parameters of each surface point of the third target region and the preset range of the third attribute parameters.

[0108] The third target area can be a river area, a mountainous area, or a land area, or it can be an area containing a main survey line, an area containing a connecting line, an area composed of multiple main survey lines, or an area composed of multiple connecting lines. The computer equipment selects the receiver points within the third target area whose third attribute parameters fall within the range of the third preset attribute parameters as the target receiver points.

[0109] For example, if the third attribute parameter is the number of coverages, then the third preset attribute parameter can be a coverage number of 50-60 times, and the target polygon points within the third target area with a coverage number in the range of 50-60 times are selected as target polygon points.

[0110] In one possible approach, the computer device displays an interactive interface for showing the shot-and-receiver base map and the common center point base map.

[0111] The computer device responds to the first touch operation on the target point of the shot receiver base map or common center point base map, and displays the attribute parameters of the target point, which may be a shot point, receiver point, or surface element point.

[0112] The first touch operation can be set and changed as needed; for example, the first touch operation is a right-click touch operation. Taking the target point as the shot point as an example, when the computer device receives a right-click first touch operation that requires the first attribute parameter of the shot point to be displayed at any shot point on the shot detection map, the first attribute parameter of the shot point will be displayed on the interactive interface.

[0113] In another possible implementation, the target point is any point on the shot-receiver base map or the common center point base map. Taking the common center point base map as an example, when the computer device receives a right-click operation indicating that the third attribute parameters of all polygon points need to be displayed at any point on the common center point base map, the third attribute parameters of all polygon points are displayed on the interactive interface. Taking the third attribute parameter as the minimum offset distance as an example, see [link to relevant documentation]. Figure 3 This figure illustrates the minimum offset of all polygon points displayed on the interactive interface. For example, using the third attribute parameter as the number of coverage points, see [link to example]. Figure 4 This figure is a schematic diagram showing the coverage count of all facet points displayed on the interactive interface.

[0114] In this embodiment of the application, the attribute parameters are displayed on the interactive interface, making the attribute parameters intuitively available.

[0115] The computer device responds to a second touch operation on a target point on a shot-receiver base map or a common center point base map, and displays a profile of the seismic data of the target point, which may be a shot point, receiver point, or surface element point.

[0116] The second touch operation can be set and changed as needed; for example, the second touch operation is a left mouse button click. Taking the target point as the receiver point as an example, if the computer device receives a second touch operation clicking at any receiver point on the shot-receiver map, a profile of the second target data for that receiver point will be displayed on the interactive interface. In another possible implementation, a profile of the second seismic data for that receiver point will be displayed on another interactive interface; see [link to relevant documentation]. Figure 5 The left side of the figure is the interactive interface, on which the shot detection base map is displayed. The right side of the figure is a profile of the first seismic data displayed on another interactive interface for the shot point that was subjected to the second touch operation on the interactive interface. Through this profile, the noise distribution in the first seismic data and the relationship between the noise and the ground surface can be seen intuitively.

[0117] In this embodiment of the application, the cross-sectional view of the seismic data is displayed through an interactive interface, which can intuitively obtain information such as the noise distribution of the seismic data at the target point, and the visualization is highly effective.

[0118] It should be noted that the computer device, in response to a fifth touch operation on a target point on a shot-receiver base map or a common center point base map, can also display the data volume of the seismic data for the target point.

[0119] It should be noted that by displaying the shot-receiver base map and the common midpoint base map on the interactive interface, a one-step visualization operation is achieved after the seismic data observation system is defined. For example, if the third seismic data of the surface element points on a main survey line on the common midpoint base map are selected for overlay, the location of the line can be determined based on the common midpoint base map, and its third attribute parameters such as surface elevation can be obtained.

[0120] Step 104: The computer equipment determines the target seismic data based on the first seismic data of each target shot point, the second seismic data of each target receiver point, and the third seismic data of each target surface element point.

[0121] The target seismic data is used for subsurface structural imaging.

[0122] It should be noted that the computer equipment determines at least one of the following as target seismic data: the first seismic data of each target shot point, the second seismic data of each target receiver point, and the third seismic data of each target surface element point.

[0123] For example, the computer equipment can use the first seismic data of each target shot point as the target seismic data; or use the first seismic data of each target shot point and the second seismic data of each target receiver point as the target seismic data; or use the first seismic data of each target shot point, the second seismic data of each target receiver point, and the third seismic data of each target surface element point as the target seismic data.

[0124] It should be noted that, in addition to selecting the target seismic data through steps 101-104 above, the method also processes the target seismic data through the following steps 105-106.

[0125] Step 105: The computer equipment preprocesses the target seismic data based on the target preprocessing parameters to obtain the first target data.

[0126] It should be noted that the computer equipment preprocesses the target seismic data through an integrated processing and interactive module. This module includes a processing unit and an interaction unit. The computer equipment preprocesses the target seismic data based on the processing unit and interacts with the data through the interaction unit.

[0127] In one possible implementation, the processing unit, as a computing component, is inserted into the control menu of the interaction unit. The computer device inputs target seismic data into the interaction unit, and the interaction unit facilitates interaction with the target seismic data. The interaction unit sends the target seismic data to the processing unit. During this interaction, the processing unit preprocesses the target seismic data and sends the preprocessed data back to the interaction unit. Finally, the interaction unit outputs the preprocessed first target data.

[0128] When processing target seismic data using traditional processing units, the unit continues running until the task terminates even when errors occur, which is obviously time-consuming and labor-intensive. However, in this embodiment, by inserting the processing unit into an interaction unit, the interaction unit can control the execution process of the target seismic data, achieving seamless transfer and unified management of target seismic data preprocessing and interaction. This avoids the situation where errors occur during preprocessing of the target seismic data and the process continues, thus reducing the waste of time and resources by promptly terminating faulty or erroneous operations.

[0129] In another possible implementation, the interactive unit is added to the control menu of the processing unit. In this way, the computer device inputs the target seismic data into the processing unit, which then preprocesses the target seismic data. The processing unit sends the preprocessed target seismic data to the interactive unit. During the preprocessing process, the target seismic data is interacted with through the interactive unit, and the processing unit outputs the preprocessed first target data.

[0130] In this embodiment, by adding the interaction unit to the control menu of the processing unit, the operation of the target seismic data in preprocessing can be controlled through the interaction unit. This avoids the situation where the target seismic data continues to run even if errors occur during the preprocessing of the processing unit. In this way, by terminating the faulty or erroneous operation in a timely manner, the waste of time and resources is reduced.

[0131] The interaction unit can interact with the target seismic data in the following ways:

[0132] (1) The computer equipment displays the preprocessing status of the target seismic data.

[0133] The computer equipment displays the preprocessing status of the target seismic data through an interactive unit, which allows the processing status of the target seismic data to be observed in real time. This also enables monitoring of the processing of the target seismic data, including monitoring which step the preprocessing of the target seismic data has reached and whether any errors or malfunctions have occurred during the process.

[0134] (2) The computer device suspends the preprocessing of the target seismic data in response to the third touch operation on the target seismic data.

[0135] In this implementation, the computer device can pause the processing of the target seismic data through the interactive unit. This allows the preprocessing of the target seismic data to be paused when errors or malfunctions occur during the processing.

[0136] In another possible implementation, the computer device can pause the preprocessing of target seismic data based on predefined parameters in the interaction unit. These predefined parameters guide the pause of target seismic data preprocessing; the preprocessing pauses when the predefined conditions are met. For example, if the predefined parameter is to pause target seismic data processing after preprocessing the first seismic data of 10 target shot points, then the computer device will pause target seismic data processing after preprocessing the first seismic data of the 10 target shot points through the processing unit.

[0137] It should be noted that after the interactive unit pauses processing the target seismic data, the computer device can pop up a corresponding interactive processing interface. In response to the processing personnel processing the target seismic data on the interactive processing interface, the computer device continues to perform corresponding preprocessing on the target seismic data through the processing unit.

[0138] (3) The computer device responds to the fourth touch operation on the target seismic data and ends the preprocessing of the target seismic data.

[0139] In this implementation, the computer device terminates the preprocessing of the target seismic data through an interactive unit; thus, the preprocessing of the target seismic data can be terminated in a timely manner when an error or malfunction occurs or when the preprocessing is completed.

[0140] It should be noted that the control points for displaying, pausing, and terminating the target seismic data can be set and changed as needed; for example, the data can be displayed when preprocessing begins; paused when an error or malfunction occurs during the processing; and terminated when the preprocessing is complete.

[0141] When processing target seismic data using traditional methods, the processing unit does not terminate its operation when an error occurs, but continues to execute until the task is completed. Obviously, this is time-consuming and labor-intensive. However, in this embodiment, by inserting the processing unit into the interaction unit, the interaction unit can control the processing of the target seismic data, achieving seamless transfer and unified management of target seismic data processing and interaction. This avoids the situation where the target seismic data continues to run even when errors occur during processing by the processing unit. Thus, by promptly terminating faulty or erroneous operations, time and resource waste are reduced.

[0142] It should be noted that the computer equipment can not only preprocess the target seismic data during the interaction process, and interact with the target seismic data during the preprocessing process; it can also preprocess and interact with the target seismic data separately, that is, the processing unit and the interaction unit can operate independently, which is flexible and versatile.

[0143] The process of obtaining the target preprocessing parameters includes the following steps (1)-(2):

[0144] (1) Multiple preprocessing effects of computer equipment for acquiring historical earthquake data.

[0145] In this context, each preprocessing result of historical earthquake data is the result obtained by preprocessing with one of multiple preprocessing parameters.

[0146] In this process, the computer equipment can have multiple branches processing historical earthquake data simultaneously, and each branch can have different preprocessing parameters. In this way, multiple different preprocessing effects can be obtained based on multiple different preprocessing parameters.

[0147] It should be noted that the processing results can be displayed in the form of cross-sectional views or track head data. See also Figure 6 , Figure 6 Cross-sectional views of multiple preprocessing results obtained by preprocessing multiple branches.

[0148] Preprocessing includes noise removal, static correction, linear noise removal, and linear correction. For example, if the preprocessing is static correction, the preprocessing parameters are the static correction preprocessing parameters, and the corresponding processing result is the static correction processing result. See also... Figure 7 The figure shows a cross-sectional view of several historical earthquake data in the shot-receiver base map before and after static correction processing. This cross-sectional view can directly show the preprocessing effect of the historical earthquake data, and by comparing it with the cross-sectional view before preprocessing, the preprocessing effect can be obtained more intuitively.

[0149] For example, if the preprocessing is linear noise processing, then the preprocessing parameters are the same as those for linear noise preprocessing, and the corresponding preprocessing effect is the same as that for linear noise processing. See also Figure 8 The figure shows a cross-sectional view of historical earthquake data before and after linear noise preprocessing, as well as a cross-sectional view of the linear noise of the first target data obtained after preprocessing. This cross-sectional view can directly show the preprocessing effect of historical earthquake data, and by comparing it with the cross-sectional view before processing, the preprocessing effect can be obtained more intuitively.

[0150] For example, if the preprocessing is linear correction, then the preprocessing parameters are the same as those for linear correction, and the corresponding preprocessing result is the same as that for linear correction. See also Figure 9 The figure shows a profile of the historical seismic data at the crosshairs on the shot receiver base map after linear correction preprocessing. This profile can directly display the preprocessing effect.

[0151] In another possible implementation, the computer equipment determines the preprocessing effect of the target seismic data based on the target seismic data and the first target data. The computer equipment then updates the target preprocessing parameters based on the processing effect of the target seismic data.

[0152] The computer equipment determines the preprocessing effect of the target seismic data by comparing the target seismic data before and after preprocessing. The preprocessing effect can be displayed in the form of profile diagrams or trace head data.

[0153] It should be noted that the computer device displays the processing effect of the target seismic data through an interactive unit. When preprocessing target seismic data using traditional methods, the computer device can only output the processed first target data through the processing unit and cannot directly display the preprocessing effect. It is necessary to call additional data display tools to view the preprocessing effect. If the preprocessing effect is unsatisfactory, the computer device needs to re-input the target seismic data into the processing unit, change the preprocessing parameters, and reprocess the target seismic data. Thus, the computer device needs to repeat the above process multiple times between the processing unit and the data display tool, greatly reducing efficiency. However, in this embodiment, the computer device inserts an interactive unit into the processing unit, or inserts a processing unit into the interactive unit. This allows the preprocessing effect to be directly displayed through the interactive unit, enabling timely updates of preprocessing parameters based on the preprocessing effect, saving time and effort, greatly improving efficiency, and simplifying user operation.

[0154] (2) The computer device determines the target preprocessing parameter from multiple preprocessing parameters based on multiple preprocessing effects.

[0155] It should be noted that the computer device can display multiple preprocessing results through an interactive display and comparison module, and can compare these results. The computer device determines the preprocessing parameters with the best results from among the multiple results as the target preprocessing parameters.

[0156] In this embodiment of the application, by displaying and comparing the processing effects of different preprocessing parameters, users can easily select the optimal preprocessing parameters based on the preprocessing effects.

[0157] In another possible implementation, the computer device preprocesses historical seismic data using similar but different preprocessing methods. The computer device acquires multiple different preprocessing methods and their corresponding preprocessing effects. By displaying and comparing the preprocessing effects of these methods, the computer device determines the method with the best effect as the target preprocessing method. In this embodiment, by displaying and comparing the processing effects of different preprocessing methods, users can easily formulate a reasonable preprocessing workflow based on the preprocessing results. This avoids the need for multiple preprocessing method selection processes when processing other target seismic data by determining the optimal preprocessing method.

[0158] In western my country, seismic data suffers from significant static correction and signal-to-noise ratio issues, necessitating repeated preprocessing and the use of additional data display tools to assess the preprocessing effects and select optimal preprocessing parameters and methods—a time-consuming and labor-intensive process. The method provided in this application, however, saves time and effort in determining the optimal preprocessing parameters and methods.

[0159] Step 106: The computer equipment performs basic processing on the first target data to obtain the second target data, which is used for underground structural imaging.

[0160] The basic processing includes channel editing, time window picking, data cutting, view speed picking, layer picking, and spectrum analysis.

[0161] It should be noted that the computer device interacts with the first target data through the interactive display and comparison module, that is, in response to the sixth touch operation on the first target data, it performs basic processing on the first target data.

[0162] In this embodiment, the problems of how to select targeted and representative target seismic data, how to monitor the preprocessing process of target seismic data, and how to monitor it are effectively solved when processing seismic data. It also enables the processor to observe and check the preprocessing results in a timely manner, and change the preprocessing process and parameters. It solves the problems of multiple steps, complicated operation, and low efficiency in the current on-site processing of seismic data, and greatly improves the processing efficiency of seismic data.

[0163] This application provides a method for selecting seismic data. The method determines target shot points, target receiver points, and target surface element points whose attribute parameters are within a preset range based on the attribute parameters of shot points, receiver points, and surface element points. This makes the seismic data of target shot points, target receiver points, and target surface element points more targeted and representative. Consequently, the target seismic data determined based on the seismic data of target shot points, receiver points, and target surface element points is also more targeted and representative, thereby improving the accuracy of target seismic data used for subsurface structural imaging.

[0164] This application also provides a seismic data selection device, see [link to document]. Figure 10 The device includes:

[0165] The first acquisition module 1001 is used to acquire seismic data of the work area to be studied. The seismic data includes first seismic data of multiple shot points, second seismic data of multiple receiver points, and third seismic data of multiple surface element points.

[0166] The second acquisition module 1002 is used to acquire the first attribute parameter of each shot point, the second attribute parameter of each receiver point, and the third attribute parameter of each surface element point.

[0167] The selection module 1003 is used to select at least one target shot point, at least one target receiver point, and at least one target surface element point from the plurality of shot points, the plurality of receiver points, and the plurality of surface element points based on the first attribute parameter of each shot point, the second attribute parameter of each receiver point, and the third attribute parameter of each surface element point. The at least one target shot point is a shot point whose first attribute parameter is within a first preset attribute parameter range, the at least one target receiver point is a receiver point whose second attribute parameter is within a second preset attribute parameter range, and the at least one surface element point is a surface element point whose third attribute parameter is within a third preset attribute parameter range.

[0168] The first determining module 1004 is used to determine target seismic data based on the first seismic data of each target shot point, the second seismic data of each target receiver point, and the third seismic data of each target surface element point. The target seismic data is used for subsurface structural imaging.

[0169] In one possible implementation, the selection module 1003 is used to:

[0170] Based on the first seismic data and first attribute parameters of the multiple shot points, the second seismic data and second attribute parameters of the multiple receiver points, and the shot-receiver grid data, a shot-receiver base map is generated. The shot-receiver base map is a grid base map composed of multiple shot lines and multiple receiver lines. Each shot line includes multiple shot points, and each receiver line includes multiple receiver points.

[0171] Based on the third seismic data and third attribute parameters of the multiple surface elements, as well as the common center point grid data, a common center point base map is generated. The common center point base map is a grid base map composed of multiple main survey lines and multiple connecting lines. The multiple surface elements are located at multiple intersections of the multiple main survey lines and multiple connecting lines.

[0172] The first preset attribute parameter range, the second preset attribute parameter range, and the third preset attribute parameter range are obtained respectively. The first preset attribute parameter range, the second preset attribute parameter range, and the third preset attribute parameter range are used to select the target shot point, the target receiver point, and the target surface element point, respectively.

[0173] A first target area is determined in the shot detection base map. Based on the first attribute parameters of each shot point in the first target area and the first preset attribute parameter range, at least one target shot point is selected from multiple shot points in the first target area.

[0174] A second target region is determined in the shot receiver base map. Based on the second attribute parameters of each receiver point in the second target region and the range of the second preset attribute parameters, at least one target receiver point is selected from multiple receiver points in the second target region.

[0175] A third target region is determined in the common center point base map. Based on the third attribute parameter of each surface element point in the third target region and the preset range of the third attribute parameter, at least one target surface element point is selected from multiple surface element points in the third target region.

[0176] In one possible implementation, the device further includes:

[0177] The display module is used to display the interactive interface, which is used to display the shot-and-receiver base map and the common center point base map.

[0178] The first display module is used to display the attribute parameters of the target point in response to a first touch operation on the target point of the shot-detector base map or the common center point base map, wherein the target point is a shot point, a receiver point or a surface element point.

[0179] The second display module is used to display a profile of the seismic data of the target point in response to a second touch operation on the shot-receiver base map or the common center point base map. The target point is a shot point, receiver point, or surface element point.

[0180] In one possible implementation, the first determining module 1004 is configured to:

[0181] At least one of the following is determined as the target seismic data: first seismic data of each target shot point, second seismic data of each target receiver point, and third seismic data of each target surface element point.

[0182] In one possible implementation, the device further includes:

[0183] The first processing module is used to preprocess the target seismic data based on the target preprocessing parameters to obtain the first target data;

[0184] The second processing module is used to perform basic processing on the first target data to obtain second target data, which is used for underground structural imaging.

[0185] In one possible implementation, the device further includes:

[0186] The third display module is used to display the preprocessing status of the target seismic data;

[0187] A pause module is used to pause the preprocessing of the target seismic data in response to a third touch operation on the target seismic data;

[0188] The termination module is used to terminate the preprocessing of the target seismic data in response to a fourth touch operation on the target seismic data.

[0189] In one possible implementation, the device further includes:

[0190] The second determining module is used to determine the preprocessing effect of the target seismic data based on the target seismic data and the first target data;

[0191] An update module is used to update the target preprocessing parameters based on the preprocessing effect of the target seismic data.

[0192] In one possible implementation, the first processing module is configured to:

[0193] Multiple preprocessing effects of historical earthquake data are obtained, where each preprocessing effect of the historical earthquake data is the processing effect obtained by preprocessing with one of multiple preprocessing parameters.

[0194] Based on the multiple preprocessing effects, the target preprocessing parameter is determined from the multiple preprocessing parameters.

[0195] Figure 11 A structural block diagram of a computer device 1100 provided in an exemplary embodiment of this application is shown. The computer device 1100 may be a portable mobile computer device, such as a smartphone, tablet computer, MP3 player (Moving Picture Experts Group Audio Layer III), MP4 player (Moving Picture Experts Group Audio Layer IV), laptop computer, or desktop computer. The computer device 1100 may also be referred to as a user device, portable computer device, laptop computer device, desktop computer device, or other names.

[0196] Typically, computer device 1100 includes a processor 1101 and a memory 1102.

[0197] Processor 1101 may include one or more processing cores, such as a quad-core processor, an octa-core processor, etc. Processor 1101 may be implemented using at least one hardware form selected from DSP (Digital Signal Processing), FPGA (Field-Programmable Gate Array), and PLA (Programmable Logic Array). Processor 1101 may also include a main processor and a coprocessor. The main processor, also known as a CPU (Central Processing Unit), is used to process data in the wake-up state; the coprocessor is a low-power processor used to process data in the standby state. In some embodiments, processor 1101 may integrate a GPU (Graphics Processing Unit), which is responsible for rendering and drawing the content to be displayed on the screen. In some embodiments, processor 1101 may also include an AI (Artificial Intelligence) processor, which is used to handle computational operations related to machine learning.

[0198] The memory 1102 may include one or more computer-readable storage media, which may be non-transitory. The memory 1102 may also include high-speed random access memory and non-volatile memory, such as one or more disk storage devices or flash memory devices. In some embodiments, the non-transitory computer-readable storage media in the memory 1102 is used to store at least one instruction, which is executed by the processor 1101 to implement the seismic data selection method provided in the method embodiments of this application.

[0199] In some embodiments, the computer device 1100 may optionally include a peripheral device interface 1103 and at least one peripheral device. The processor 1101, memory 1102, and peripheral device interface 1103 can be connected via a bus or signal line. Each peripheral device can be connected to the peripheral device interface 1103 via a bus, signal line, or circuit board. Specifically, the peripheral device includes at least one of the following: a radio frequency circuit 1104, a display screen 1105, a camera assembly 1106, an audio circuit 1107, a positioning assembly 1108, and a power supply 1109.

[0200] Peripheral device interface 1103 can be used to connect at least one I / O (Input / Output) related peripheral device to processor 1101 and memory 1102. In some embodiments, processor 1101, memory 1102 and peripheral device interface 1103 are integrated on the same chip or circuit board; in some other embodiments, any one or two of processor 1101, memory 1102 and peripheral device interface 1103 can be implemented on separate chips or circuit boards, which is not limited in this embodiment.

[0201] The radio frequency (RF) circuit 1104 is used to receive and transmit RF (Radio Frequency) signals, also known as electromagnetic signals. The RF circuit 1104 communicates with communication networks and other communication devices via electromagnetic signals. The RF circuit 1104 converts electrical signals into electromagnetic signals for transmission, or converts received electromagnetic signals back into electrical signals. Optionally, the RF circuit 1104 includes: an antenna system, an RF transceiver, one or more amplifiers, a tuner, an oscillator, a digital signal processor, a codec chipset, a user identity module card, etc. The RF circuit 1104 can communicate with other computer devices via at least one wireless communication protocol. This wireless communication protocol includes, but is not limited to: the World Wide Web, metropolitan area networks, intranets, various generations of mobile communication networks (2G, 3G, 4G, and 5G), wireless local area networks, and / or WiFi (Wireless Fidelity) networks. In some embodiments, the RF circuit 1104 may also include circuitry related to NFC (Near Field Communication), which is not limited in this application.

[0202] Display screen 1105 is used to display a UI (User Interface). This UI may include graphics, text, icons, videos, and any combination thereof. When display screen 1105 is a touch display screen, it also has the ability to collect touch signals on or above its surface. These touch signals can be input as control signals to processor 1101 for processing. In this case, display screen 1105 can also be used to provide virtual buttons and / or a virtual keyboard, also known as soft buttons and / or a soft keyboard. In some embodiments, there may be one display screen 1105, disposed on the front panel of computer device 1100; in other embodiments, there may be at least two display screens, disposed on different surfaces of computer device 1100 or in a folded design; in still other embodiments, display screen 1105 may be a flexible display screen, disposed on a curved or folded surface of computer device 1100. Furthermore, display screen 1105 may be configured as a non-rectangular, irregular shape, i.e., a non-rectangular screen. The display screen 1105 can be made of materials such as LCD (Liquid Crystal Display) and OLED (Organic Light-Emitting Diode).

[0203] The camera assembly 1106 is used to acquire images or videos. Optionally, the camera assembly 1106 includes a front-facing camera and a rear-facing camera. Typically, the front-facing camera is located on the front panel of the computer device, and the rear-facing camera is located on the back of the computer device. In some embodiments, there are at least two rear-facing cameras, which are any one of a main camera, a depth-sensing camera, a wide-angle camera, and a telephoto camera, to achieve background blurring by fusion of the main camera and the depth-sensing camera, panoramic shooting by fusion of the main camera and the wide-angle camera, VR (Virtual Reality) shooting, or other fusion shooting functions. In some embodiments, the camera assembly 1106 may also include a flash. The flash can be a single-color temperature flash or a dual-color temperature flash. A dual-color temperature flash refers to a combination of a warm-light flash and a cool-light flash, which can be used for light compensation at different color temperatures.

[0204] The audio circuit 1107 may include a microphone and a speaker. The microphone is used to collect sound waves from the user and the environment, converting the sound waves into electrical signals that are input to the processor 1101 for processing, or input to the radio frequency circuit 1104 for voice communication. For stereo sound acquisition or noise reduction purposes, multiple microphones may be used, each located in a different part of the computer device 1100. The microphone may also be an array microphone or an omnidirectional microphone. The speaker is used to convert electrical signals from the processor 1101 or the radio frequency circuit 1104 into sound waves. The speaker may be a conventional diaphragm speaker or a piezoelectric ceramic speaker. When the speaker is a piezoelectric ceramic speaker, it can convert electrical signals not only into audible sound waves but also into inaudible sound waves for purposes such as distance measurement. In some embodiments, the audio circuit 1107 may also include a headphone jack.

[0205] The positioning component 1108 is used to locate the current geographical location of the computer device 1100 in order to enable navigation or LBS (Location Based Service). The positioning component 1108 can be a positioning component based on the US GPS (Global Positioning System), China's BeiDou system, or Russia's Galileo system.

[0206] Power supply 1109 is used to supply power to the various components in computer device 1100. Power supply 1109 can be AC ​​power, DC power, a disposable battery, or a rechargeable battery. When power supply 1109 includes a rechargeable battery, the rechargeable battery can be a wired rechargeable battery or a wireless rechargeable battery. A wired rechargeable battery is a battery that is charged via a wired line, and a wireless rechargeable battery is a battery that is charged via a wireless coil. The rechargeable battery can also be used to support fast charging technology.

[0207] In some embodiments, the computer device 1100 further includes one or more sensors 1110. The one or more sensors 1110 include, but are not limited to: an accelerometer 1111, a gyroscope 1112, a pressure sensor 1113, a fingerprint sensor 1114, an optical sensor 1115, and a proximity sensor 1116.

[0208] Accelerometer 1111 can detect the magnitude of acceleration along the three coordinate axes of a coordinate system established by computer device 1100. For example, accelerometer 1111 can be used to detect the components of gravitational acceleration along the three coordinate axes. Processor 1101 can control display screen 1105 to display the user interface in either a landscape or portrait view based on the gravitational acceleration signal acquired by accelerometer 1111. Accelerometer 1111 can also be used for games or for acquiring user motion data.

[0209] The gyroscope sensor 1112 can detect the orientation and rotation angle of the computer device 1100. The gyroscope sensor 1112 can work in conjunction with the accelerometer sensor 1111 to collect 3D motion data from the user on the computer device 1100. Based on the data collected by the gyroscope sensor 1112, the processor 1101 can perform the following functions: motion sensing (e.g., changing the UI based on the user's tilt), image stabilization during shooting, game control, and inertial navigation.

[0210] Pressure sensor 1113 can be disposed on the side bezel of computer device 1100 and / or on the lower layer of display screen 1105. When pressure sensor 1113 is disposed on the side bezel of computer device 1100, it can detect the user's grip signal on computer device 1100, and processor 1101 can perform left / right hand recognition or quick operation based on the grip signal collected by pressure sensor 1113. When pressure sensor 1113 is disposed on the lower layer of display screen 1105, processor 1101 can control operable controls on the UI interface based on the user's pressure operation on display screen 1105. Operable controls include at least one of button controls, scroll bar controls, icon controls, and menu controls.

[0211] The fingerprint sensor 1114 is used to collect a user's fingerprint. The processor 1101 identifies the user based on the fingerprint collected by the fingerprint sensor 1114, or vice versa. When the user's identity is identified as trusted, the processor 1101 authorizes the user to perform relevant sensitive operations, including unlocking the screen, viewing encrypted information, downloading software, making payments, and changing settings. The fingerprint sensor 1114 can be located on the front, back, or side of the computer device 1100. When the computer device 1100 has physical buttons or a manufacturer's logo, the fingerprint sensor 1114 can be integrated with the physical buttons or the manufacturer's logo.

[0212] An optical sensor 1115 is used to collect ambient light intensity. In one embodiment, the processor 1101 can control the display brightness of the display screen 1105 based on the ambient light intensity collected by the optical sensor 1115. Specifically, when the ambient light intensity is high, the display brightness of the display screen 1105 is increased; when the ambient light intensity is low, the display brightness of the display screen 1105 is decreased. In another embodiment, the processor 1101 can also dynamically adjust the shooting parameters of the camera assembly 1106 based on the ambient light intensity collected by the optical sensor 1115.

[0213] The proximity sensor 1116, also known as a distance sensor, is typically located on the front panel of the computer device 1100. The proximity sensor 1116 is used to detect the distance between the user and the front of the computer device 1100. In one embodiment, when the proximity sensor 1116 detects that the distance between the user and the front of the computer device 1100 is gradually decreasing, the processor 1101 controls the display screen 1105 to switch from a screen-on state to a screen-off state; when the proximity sensor 1116 detects that the distance between the user and the front of the computer device 1100 is gradually increasing, the processor 1101 controls the display screen 1105 to switch from a screen-off state to a screen-on state.

[0214] Those skilled in the art will understand that Figure 11 The structure shown does not constitute a limitation on the computer device 1100 and may include more or fewer components than shown, or combine certain components, or use different component arrangements.

[0215] This application also provides a computer-readable storage medium storing at least one instruction, which is loaded and executed by a processor to perform the operation of the seismic data selection method in any of the above implementations.

[0216] This application also provides a computer program product or computer program, which includes computer program code stored in a computer-readable storage medium. The processor of a computer device reads the computer program code from the computer-readable storage medium and executes the computer program code, causing the computer device to perform the operations described above in the method for selecting seismic data.

[0217] In some embodiments, the computer program involved in the present application embodiments may be deployed and executed on a computer device, or executed on multiple computer devices located in one location, or executed on multiple computer devices distributed in multiple locations and interconnected through a communication network. Multiple computer devices distributed in multiple locations and interconnected through a communication network may constitute a blockchain system.

[0218] This application provides a method for selecting seismic data. The method determines target shot points, target receiver points, and target surface element points whose attribute parameters are within a preset range based on the attribute parameters of shot points, receiver points, and surface element points. This makes the seismic data of target shot points, target receiver points, and target surface element points more targeted and representative. Consequently, the target seismic data determined based on the seismic data of target shot points, receiver points, and target surface element points is also more targeted and representative, thereby improving the accuracy of target seismic data used for subsurface structural imaging.

[0219] The above are merely optional embodiments of this application and are not intended to limit this application. 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.

Claims

1. A method for selecting seismic data, characterized in that, The method includes: Seismic data of the work area to be studied is acquired. The seismic data includes shot-receiver grid data, common center point grid data, first seismic data of multiple shot points, second seismic data of multiple receiver points, and third seismic data of multiple surface element points. Obtain the first attribute parameter of each shot point, the second attribute parameter of each receiver point, and the third attribute parameter of each surface element. Each attribute parameter includes the surface elevation, static correction, number of coverages, and minimum offset. Based on the first seismic data and first attribute parameters of the multiple shot points, the second seismic data and second attribute parameters of the multiple receiver points, and the shot-receiver grid data, a shot-receiver base map is generated. The shot-receiver base map is a grid base map composed of multiple shot lines and multiple receiver lines, with multiple shot points on each shot line and multiple receiver points on each receiver line. Based on the third seismic data and third attribute parameters of the multiple surface elements, and the common center point grid data, a common center point base map is generated. The common center point base map is a grid base map composed of multiple main survey lines and multiple connecting lines, with the multiple surface elements located at multiple intersections of the multiple main survey lines and the multiple connecting lines. A first target region is determined in the shot detector base map. Based on the first attribute parameter and the first preset attribute parameter range of each shot point in the first target region, at least one target shot point is selected from multiple shot points in the first target region. A second target region is determined in the shot detector base map. Based on the second attribute parameter and the second preset attribute parameter range of each receiver point in the second target region, at least one target receiver point is selected from multiple receiver points in the second target region. A third target region is determined in the common center point base map. Based on the third attribute parameter and the third preset attribute parameter range of each surface element point in the third target region, at least one target surface element point is selected from multiple surface elements in the third target region. The at least one target shot point is a shot point whose first attribute parameter is within the first preset attribute parameter range. The at least one target receiver point is a receiver point whose second attribute parameter is within the second preset attribute parameter range. The at least one target surface element point is a surface element point whose third attribute parameter is within the third preset attribute parameter range. Based on the first seismic data of each target shot point, the second seismic data of each target receiver point, and the third seismic data of each target surface element point, target seismic data is determined, which is used for subsurface structural imaging.

2. The method for selecting seismic data according to claim 1, characterized in that, The method further includes: An interactive interface is provided to display the shot detection base map and the common center point base map. In response to a first touch operation on a target point of the shot-detector base map or the common center point base map, the attribute parameters of the target point are displayed, wherein the target point is a shot point, a receiver point, or a surface element point. In response to a second touch operation on a target point of the shot-receiver base map or the common center point base map, a profile view of the seismic data of the target point is displayed, wherein the target point is a shot point, receiver point, or surface element point.

3. The method for selecting seismic data according to claim 1, characterized in that, The determination of target seismic data, based on the first seismic data of each target shot point, the second seismic data of each target receiver point, and the third seismic data of each target surface element point, includes: At least one of the following is determined as the target seismic data: first seismic data of each target shot point, second seismic data of each target receiver point, and third seismic data of each target surface element point.

4. The method for selecting seismic data according to claim 1, characterized in that, The method further includes: Based on the target preprocessing parameters, the target seismic data is preprocessed to obtain the first target data; The first target data is processed to obtain the second target data, which is used for underground structural imaging.

5. The method for selecting seismic data according to claim 4, characterized in that, The method further includes: Displays the preprocessing status of the target seismic data; In response to a third touch operation on the target seismic data, the preprocessing of the target seismic data is paused; In response to a fourth touch operation on the target seismic data, the preprocessing of the target seismic data is terminated.

6. The method for selecting seismic data according to claim 4, characterized in that, The method further includes: Based on the target seismic data and the first target data, determine the preprocessing effect of the target seismic data; Based on the preprocessing effect of the target seismic data, the target preprocessing parameters are updated.

7. The method for selecting seismic data according to claim 4, characterized in that, The process of obtaining the target preprocessing parameters is as follows: Multiple preprocessing effects of historical earthquake data are obtained, where each preprocessing effect of the historical earthquake data is the processing effect obtained by preprocessing with one of multiple preprocessing parameters. Based on the multiple preprocessing effects, the target preprocessing parameter is determined from the multiple preprocessing parameters.

8. A device for selecting seismic data, characterized in that, The device includes: The first acquisition module is used to acquire seismic data of the work area to be studied. The seismic data includes shot-receiver grid data, common center point grid data, first seismic data of multiple shot points, second seismic data of multiple receiver points, and third seismic data of multiple surface element points. The second acquisition module is used to acquire the first attribute parameter of each shot point, the second attribute parameter of each receiver point, and the third attribute parameter of each surface element point. Each attribute parameter includes the surface elevation, static correction amount, number of coverages, and minimum offset distance. The selection module is used to generate a shot-detector base map based on the first seismic data and first attribute parameters of the multiple shot points, the second seismic data and second attribute parameters of the multiple receiver points, and the shot-detector grid data. The shot-detector base map is a grid base map composed of multiple shot lines and multiple receiver lines, with multiple shot points on each shot line and multiple receiver points on each receiver line. Based on the third seismic data and third attribute parameters of the multiple surface elements, and the common center point grid data, a common center point base map is generated. The common center point base map is a grid base map composed of multiple main survey lines and multiple connecting lines, with the multiple surface elements located at multiple intersections of the multiple main survey lines and multiple connecting lines. A first target area is determined in the shot-detector base map, and based on the first attribute parameters and a first preset attribute parameter range of each shot point in the first target area, a target area is selected from the first target area. At least one target shot point is selected from multiple shot points in the target area; a second target area is determined in the shot-detector base map, and at least one target receiver point is selected from multiple receiver points in the second target area based on the second attribute parameter and the second preset attribute parameter range of each receiver point in the second target area; a third target area is determined in the common center point base map, and at least one target surface point is selected from multiple surface points in the third target area based on the third attribute parameter and the third preset attribute parameter range of each surface point in the third target area, wherein the at least one target shot point is a shot point whose first attribute parameter is within the first preset attribute parameter range, the at least one target receiver point is a receiver point whose second attribute parameter is within the second preset attribute parameter range, and the at least one target surface point is a surface point whose third attribute parameter is within the third preset attribute parameter range; The first determining module is used to determine target seismic data based on the first seismic data of each target shot point, the second seismic data of each target receiver point, and the third seismic data of each target surface element point. The target seismic data is used for subsurface structural imaging.

9. A computer device, characterized in that, The computer device includes one or more processors and one or more memories, wherein at least one instruction is stored in the one or more memories, and the at least one instruction is loaded and executed by the one or more processors to perform the operation performed by the method for selecting seismic data as described in any one of claims 1 to 7.

Images