CN115685331A - Seismic data selection method and device and computer equipment - Google Patents

Seismic data selection method and device and computer equipment Download PDF

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Publication number
CN115685331A
CN115685331A CN202110872681.0A CN202110872681A CN115685331A CN 115685331 A CN115685331 A CN 115685331A CN 202110872681 A CN202110872681 A CN 202110872681A CN 115685331 A CN115685331 A CN 115685331A
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target
seismic data
point
shot
attribute parameter
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薛贵仁
罗国安
孙静
王爱佳
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China National Petroleum Corp
BGP Inc
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China National Petroleum Corp
BGP Inc
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Abstract

The application provides a seismic data selection method, a seismic data selection device and computer equipment, and belongs to the technical field of seismic exploration. The method comprises the following steps: acquiring seismic data of a work area to be researched; acquiring a first attribute parameter of each shot point, a second attribute parameter of each demodulator probe and a third attribute parameter of each primitive point; selecting at least one target shot, at least one target probe point, and at least one target voxel point from the plurality of shots, the plurality of probe points, and the plurality of bin points based on the first attribute parameter of each shot, the second attribute parameter of each probe point, and the third attribute parameter of each voxel point; and determining target seismic data based on the first seismic data of each target shot point, the second seismic data of each target detection point and the third seismic data of each target surface element point, wherein the target seismic data are used for underground structure imaging. The method improves the accuracy of target seismic data used to image subsurface formations.

Description

Seismic data selection method and device and computer equipment
Technical Field
The application relates to the technical field of seismic exploration, in particular to a method and a device for selecting seismic data and computer equipment.
Background
The seismic data is used to perform subsurface formation imaging by which subsurface geological formation and formation property information can be obtained. Because the data volume in the seismic data is large, if all the seismic data are subjected to underground structure imaging, huge pressure is applied to a seismic data processing system, and time and labor are wasted; therefore, a portion of the seismic data needs to be selected for subsurface formation imaging.
In the related art, when seismic data are selected, the data in the seismic data are generally selected at equal intervals, and the pertinence and the representativeness of the selected seismic data are poor, so that underground structure imaging is performed based on the selected seismic data, which results in poor accuracy of underground structure imaging.
Disclosure of Invention
The embodiment of the application provides a seismic data selection method and device and computer equipment, and the accuracy of the selected target seismic data can be improved. The technical scheme is as follows:
in one aspect, a method for selecting seismic data is provided, where the method includes:
acquiring seismic data of a work area to be researched, wherein the seismic data comprise first seismic data of a plurality of shot points, second seismic data of a plurality of wave detection points and third seismic data of a plurality of surface elements;
acquiring a first attribute parameter of each shot point, a second attribute parameter of each demodulator probe and a third attribute parameter of each primitive point;
selecting at least one target shot point, at least one target probe point and at least one target area element point from the plurality of shot points, the plurality of probe points and the plurality of area elements based on the first attribute parameter of each shot point, the second attribute parameter of each detector point and the third attribute parameter of each area element point, wherein the at least one target shot point is a shot point of which the first attribute parameter is within a first preset attribute parameter range, the at least one target probe point is a detector point of which the second attribute parameter is within a second preset attribute parameter range, and the at least one area element point is an area element point of which the third attribute parameter is within a third preset attribute parameter range;
and determining target seismic data based on the first seismic data of each target shot point, the second seismic data of each target detection point and the third seismic data of each target surface element point, wherein the target seismic data is used for underground structure imaging.
In one possible implementation, the seismic data further includes shot-geophone grid data and common-midpoint grid data, and the selecting at least one target shot point, at least one target geophone point, and at least one target metanode from the plurality of shot points, the plurality of geophone points, and the plurality of metanodes based on the first attribute parameter of each shot point, the second attribute parameter of each geophone point, and the third attribute parameter of each metanode includes:
generating a shot-geophone base map based on the first seismic data and the first attribute parameters of the plurality of shot points, the second seismic data and the second attribute parameters of the plurality of wave detection points and the shot-geophone grid data, wherein the shot-geophone base map is a grid base map formed by a plurality of shot lines and a plurality of receiving lines, each shot line comprises a plurality of shot points, and each receiving line comprises a plurality of wave detection points;
generating a common central point base map based on third seismic data and third attribute parameters of the multiple surface element points and the common central point grid data, wherein the common central point base map is a grid base map formed by multiple main measuring lines and multiple connecting lines, and the multiple surface element points are respectively located at multiple intersection points of the multiple main measuring lines and the multiple connecting lines;
respectively acquiring a first preset attribute parameter range, a second preset attribute parameter range and a third preset attribute parameter range, wherein the first preset attribute parameter range, the second preset attribute parameter range and the third preset attribute parameter range are respectively used for selecting a target shot point, a target wave detection point and a target surface primitive point;
determining a first target area in the shot-review base map, and selecting at least one target shot from a plurality of shots in the first target area based on a first attribute parameter of each shot in the first target area and the first preset attribute parameter range;
determining a second target region in the shot-geophone base map, and selecting at least one target demodulator probe from a plurality of demodulator probes in the second target region based on a second attribute parameter of each demodulator probe in the second target region and the second preset attribute parameter range;
and determining a third target area in the common center point base map, and selecting at least one target surface element point from a plurality of surface element points of the third target area based on a third attribute parameter of each surface element point of the third target area and the preset third attribute parameter range.
In one possible implementation, the method further includes:
displaying an interactive interface, wherein the interactive interface is used for displaying the shot-examination base map and the common-center-point base map;
responding to a first touch operation on a target point of the shot-geophone bottom map or the common-midpoint bottom map, and displaying attribute parameters of the target point, wherein the target point is a shot point, a demodulator probe or a surface element point;
and responding to a second touch operation on a target point of the shot-geophone base map or the common-midpoint base map, and displaying a section map of the seismic data of the target point, wherein the target point is a shot point, a demodulator probe or a surface element point.
In one possible implementation, the determining target seismic data based on the first seismic data of each target shot point, the second seismic data of each target geophone point, and the third seismic data of each target surface primitive point includes:
and determining at least one of the first seismic data of each target shot point, the second seismic data of each target demodulator probe and the third seismic data of each target surface element point as the target seismic data.
In one possible implementation, the method further includes:
preprocessing the target seismic data based on target preprocessing parameters to obtain first target data;
and performing basic processing on the first target data to obtain second target data, wherein the second target data is used for underground structure imaging.
In one possible implementation, the method further includes:
displaying the preprocessing state of the target seismic data;
pausing preprocessing the target seismic data in response to a third touch operation on the target seismic data;
and responding to a fourth touch operation on the target seismic data, and finishing preprocessing the target seismic data.
In one possible implementation, the method further includes:
determining a preprocessing effect of the target seismic data based on the target seismic data and the first target data;
and updating the target preprocessing parameters based on the preprocessing effect of the target seismic data.
In a possible implementation manner, the target preprocessing parameter obtaining process includes:
acquiring a plurality of preprocessing effects of historical seismic data, wherein each preprocessing effect of the historical seismic data is a processing effect obtained by preprocessing one processing parameter of a plurality of preprocessing parameters;
determining the target pre-processing parameter from the plurality of pre-processing parameters based on the plurality of pre-processing effects.
In another aspect, an apparatus for extracting seismic data is provided, the apparatus comprising:
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring seismic data of a work area to be researched, and the seismic data comprises first seismic data of a plurality of shot points, second seismic data of a plurality of wave detection points and third seismic data of a plurality of surface elements;
the second acquisition module is used for acquiring the first attribute parameter of each shot point, the second attribute parameter of each demodulator probe and the third attribute parameter of each primitive point;
a selecting module, configured to select at least one target shot point, at least one target probe point, and at least one target surface element point from the multiple shot points, the multiple probe points, and the multiple surface elements based on a first attribute parameter of each shot point, a second attribute parameter of each probe point, and a third attribute parameter of each surface element point, where the at least one target shot point is a shot point with a first attribute parameter within a first preset attribute parameter range, the at least one target probe point is a probe point with a second attribute parameter within a second preset attribute parameter range, and the at least one surface element point is a surface element point with a third attribute parameter within a third preset attribute parameter range;
the first determining module is used for determining target seismic data based on the first seismic data of each target shot point, the second seismic data of each target detection point and the third seismic data of each target surface element point, and the target seismic data are used for underground structure imaging.
In a possible implementation manner, the selecting module is configured to:
generating a shot-geophone base map based on the first seismic data and the first attribute parameters of the plurality of shot points, the second seismic data and the second attribute parameters of the plurality of wave detection points and the shot-geophone grid data, wherein the shot-geophone base map is a grid base map formed by a plurality of shot lines and a plurality of receiving lines, each shot line comprises a plurality of shot points, and each receiving line comprises a plurality of wave detection points;
generating a common central point base map based on third seismic data and third attribute parameters of the multiple surface element points and the common central point grid data, wherein the common central point base map is a grid base map formed by multiple main measuring lines and multiple connecting lines, and the multiple surface element points are respectively located at multiple intersection points of the multiple main measuring lines and the multiple connecting lines;
respectively acquiring a first preset attribute parameter range, a second preset attribute parameter range and a third preset attribute parameter range, wherein the first preset attribute parameter range, the second preset attribute parameter range and the third preset attribute parameter range are respectively used for selecting a target shot point, a target wave detection point and a target surface primitive point;
determining a first target area in the shot base map, and selecting at least one target shot point from a plurality of shot points in the first target area based on a first attribute parameter of each shot point in the first target area and the first preset attribute parameter range;
determining a second target region in the shot-geophone base map, and selecting at least one target demodulator probe from a plurality of demodulator probes in the second target region based on a second attribute parameter of each demodulator probe in the second target region and the second preset attribute parameter range;
determining a third target area in the common center point base map, and selecting at least one target area element point from a plurality of area element points of the third target area based on a third attribute parameter of each area element point of the third target area and the preset third attribute parameter range.
In one possible implementation, the apparatus further includes:
the display module is used for displaying an interactive interface, and the interactive interface is used for displaying the shot-examination base map and the common-center-point base map;
the first display module is used for responding to a first touch operation on a target point of the shot-geophone base map or the common-center-point base map and displaying attribute parameters of the target point, wherein the target point is a shot point, a demodulator probe or a surface primitive point;
and the second display module is used for responding to a second touch operation on a target point of the shot-geophone base map or the common-midpoint base map and displaying a section map of the seismic data of the target point, wherein the target point is a shot point, a demodulator probe or a surface element point.
In a possible implementation manner, the first determining module is configured to:
and determining at least one of the first seismic data of each target shot point, the second seismic data of each target demodulator probe and the third seismic data of each target surface element point as the target seismic data.
In one possible implementation, the apparatus further includes:
the first processing module is used for preprocessing the target seismic data based on target preprocessing parameters to obtain first target data;
and the second processing module is used for carrying out basic processing on the first target data to obtain second target data, and the second target data is used for carrying out underground structure imaging.
In one possible implementation, the apparatus further includes:
the third display module is used for displaying the preprocessing state of the target seismic data;
a pause module for pausing preprocessing the target seismic data in response to a third touch operation on the target seismic data;
and the finishing module is used for finishing preprocessing the target seismic data in response to the fourth touch operation on the target seismic data.
In one possible implementation, the apparatus further includes:
a second determination module for determining a preprocessing effect of the target seismic data based on the target seismic data and the first target data;
and the updating module is used for updating the target preprocessing parameters based on the preprocessing effect of the target seismic data.
In a possible implementation manner, the first processing module is configured to:
acquiring a plurality of preprocessing effects of historical seismic data, wherein each preprocessing effect of the historical seismic data is a processing effect obtained by preprocessing one of a plurality of preprocessing parameters;
determining the target pre-processing parameter from the plurality of pre-processing parameters based on the plurality of pre-processing effects.
In another aspect, a computer device is provided and includes one or more processors and one or more memories, where at least one instruction is stored in the one or more memories and loaded by the one or more processors and executed to perform operations performed to implement the method for selecting seismic data as described in any of the above implementations.
In another aspect, a computer-readable storage medium is provided, where at least one instruction is stored, and the at least one instruction is loaded and executed by a processor to implement the operations performed by the seismic data selection method according to any of the above-described implementation manners.
In another aspect, a computer program product or a computer program is provided, the computer program product or the computer program comprising computer program code, the computer program code being stored in a computer readable storage medium. The processor of the computer device reads the computer program code from the computer-readable storage medium, and executes the computer program code to cause the computer device to perform the operations performed by the seismic data selection method described above.
The technical scheme provided by the embodiment of the application has the beneficial effects that at least:
the embodiment of the application provides a seismic data selection method, which determines a target shot point, a target geophone point and a target surface element point of an attribute parameter within a preset attribute parameter range respectively based on the attribute parameters of the shot point, the geophone point and the target surface element point, so that the seismic data of the target shot point, the target geophone point and the target surface element point have pertinence and representativeness, and the target seismic data determined based on the seismic data of the target shot point, the target geophone point and the target surface element point also have pertinence and representativeness, thereby improving the accuracy of the target seismic data for underground structure imaging.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the description below are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
Fig. 1 is a flowchart of a seismic data selecting method according to an embodiment of the present disclosure;
FIG. 2 is a schematic illustration of a shot bottom view provided by an embodiment of the present application;
FIG. 3 is a schematic diagram illustrating minimum offset of a bin point according to an embodiment of the present disclosure;
fig. 4 is a schematic diagram illustrating the number of coverage times of a bin point according to an embodiment of the present disclosure;
FIG. 5 is a diagram of an interactive interface provided by an embodiment of the present application;
FIG. 6 is a cross-sectional view of the multi-branch pretreatment effect provided by an embodiment of the present application;
FIG. 7 is a cross-sectional view of a pre-static calibration process provided by an embodiment of the present application;
FIG. 8 is a cross-sectional view of a linear noise pre-treatment provided by an embodiment of the present application;
FIG. 9 is a cross-sectional view of a linear calibration pre-process provided in an embodiment of the present application;
FIG. 10 is a block diagram of a seismic data selection device according to an embodiment of the present disclosure;
FIG. 11 is a block diagram of a computer device according to an embodiment of the present application.
Detailed Description
To make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings.
The terms "first," "second," "third," and "fourth," etc. in the description and claims of this application and in the accompanying drawings are used for distinguishing between different elements and not for describing a particular sequential order. Furthermore, the terms "comprising" and "having," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements but may alternatively include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The embodiment of the application provides a seismic data selection method, and with reference to fig. 1, the method includes:
step 101: the computer equipment acquires seismic data of a work area to be researched.
The seismic data comprise first seismic data of a plurality of shot points, second seismic data of a plurality of wave detection points and third seismic data of a plurality of surface elements. Seismic data for the work area to be studied may be obtained from a seismic data database for the work area to be studied.
Step 102: the computer equipment obtains a first attribute parameter of each shot point, a second attribute parameter of each demodulator probe and a third attribute parameter of each face meta-point.
The first attribute parameters comprise surface elevation, static correction value, covering times, minimum offset distance and the like; the second attribute parameters comprise surface elevation, static correction value, covering times, minimum offset distance and the like; the third attribute parameters comprise surface elevation, static correction quantity, covering times, minimum offset distance and the like. The first attribute parameter, the second attribute parameter and the third attribute parameter can be obtained from a seismic data database of a work area to be researched.
Step 103: the computer device selects at least one target shot, at least one target receiver point, and at least one target facies element point from the plurality of shots, the plurality of receiver points, and the plurality of facies elements based on the first attribute parameter for each shot, the second attribute parameter for each receiver point, and the third attribute parameter for each facies element point.
The method comprises the steps of obtaining a target shot point, a target demodulator probe and a surface element point, wherein the target shot point is a shot point of which a first attribute parameter is within a first preset attribute parameter range, the target demodulator probe is a demodulator probe of which a second attribute parameter is within a second preset attribute parameter range, and the surface element point is a surface element point of which a third attribute parameter is within a third preset attribute parameter range.
It should be noted that the seismic data of the work area to be studied also includes shot-examination grid data and common-midpoint grid data. The shot-check grid data includes first coordinates of a plurality of shot points, second coordinates of a plurality of demodulator points, line numbers of a plurality of shot lines, and line numbers of a plurality of receiver lines. The common center point grid data includes third coordinates of the plurality of surface element points, line numbers of the plurality of main measuring lines, and line numbers of the plurality of tie lines.
This step can be realized by the following steps (1) to (6):
(1) The computer device generates a shot-geophone base map based on first seismic data and first attribute parameters of a plurality of shot points, second seismic data and second attribute parameters of a plurality of demodulator probes, and shot-geophone grid data.
The shot-picking base map is a grid base map formed by a plurality of shot lines and a plurality of receiving lines, each shot line comprises a plurality of shot points, and each receiving line comprises a plurality of demodulator probes.
Referring to fig. 2, fig. 2 is a schematic diagram of a shot base map, in which a plurality of shot lines and a plurality of receiver lines are arranged in parallel, each shot line has a plurality of shots, and each receiver line has a plurality of geophones.
(2) The computer device generates a common midpoint base map based on the third seismic data and the third attribute parameters of the plurality of surface element points and the common midpoint grid data.
The common central point base map is a grid base map formed by a plurality of main lines and a plurality of connecting lines, and a plurality of surface elements are respectively located at a plurality of intersections of the main lines and the connecting lines.
(3) The computer equipment respectively obtains a first preset attribute parameter range, a second preset attribute parameter range and a third preset attribute parameter range.
The first preset attribute parameter range, the second preset attribute parameter range and the third preset attribute parameter range are respectively used for selecting a target shot point, a target demodulator probe and a target surface primitive point.
(4) The computer equipment determines a first target area in the shot-picking base map, and selects at least one target shot point from a plurality of shot points in the first target area based on a first attribute parameter and a first preset attribute parameter range of each shot point in the first target area.
The first target area can be a river area, a mountain area, a land area and the like, and can also be an area where one gun line is located, an area formed by a plurality of gun lines and the like. And selecting the shot points of the first attribute parameters in the first target area within the first preset attribute parameter range as target shot points by the computer equipment.
For example, if the first attribute parameter is the surface elevation, the first preset attribute parameter range may be the surface elevation of 50-100 m, and the shot point with the surface elevation of 50-100 m in the first target area is selected as the target shot point.
(5) And the computer equipment determines a second target region in the shot-geophone base map, and selects at least one target demodulator probe from a plurality of demodulator probes in the second target region based on a second attribute parameter and a second preset attribute parameter range of each demodulator probe in the second target region.
The second target area may be a river area, a mountain area, a land area, or the like, or may be an area where one receiving line is located, an area composed of a plurality of receiving lines, or the like. And selecting the demodulator probe of the second attribute parameter in the second target region in a second preset attribute parameter range as the target demodulator probe by the computer equipment.
(6) And the computer equipment determines a third target area in the common center point base map, and selects at least one target surface element point from a plurality of surface element points of the third target area based on the third attribute parameter of each surface element point of the third target area and a preset third attribute parameter range.
The third target area may be a river area, a mountain area, a land area, or the like, or may be an area where one main survey line is located, an area where one tie line is located, an area composed of a plurality of main survey lines, an area composed of a plurality of tie lines, or the like. And selecting the demodulator probe of the third attribute parameter in the third target region in a third preset attribute parameter range as the target demodulator probe by the computer equipment.
For example, if the third attribute parameter is the number of times of coverage, the third preset attribute parameter may be the number of times of coverage of 50-60 times, and the face primitive point with the number of times of coverage in the third target area within the range of 50-60 times is selected as the target face primitive point.
In one possible approach, the computer device presents an interactive interface for displaying the shot verification base map and the common center point base map.
The computer equipment responds to a first touch operation on a target point of the shot-geophone base map or the common-center-point base map, and displays attribute parameters of the target point, wherein the target point is a shot point, a demodulator probe or a surface element point.
The first touch operation can be set and changed according to needs; for example, the first touch operation is a touch operation of clicking a right mouse button, and taking a target point as a shot point as an example, when the computer device receives the first touch operation of clicking the right button, which is required to display the first attribute parameter of the shot point, at any shot point on the shot detection graph, the first attribute parameter of the shot point is displayed on the interactive interface.
In another possible implementation, the target point is any point on the shot bottom map or the common center point bottom map. Taking the common central point base map as an example, when the computer device receives a first touch operation of clicking a right button at any point on the common central point base map, which is required to display the third attribute parameters of all face element points, the computer device displays the third attribute parameters of all face element points on the interactive interface. Taking the third attribute parameter as the minimum offset as an example, refer to fig. 3, which is a schematic diagram of the minimum offset of all primitive points displayed on the interactive interface. Taking the third attribute parameter as the coverage number as an example, refer to fig. 4, which is a schematic diagram of the coverage number of all the primitive points displayed on the interactive interface.
In the embodiment of the application, the attribute parameters are displayed on the interactive interface, so that the attribute parameters are visual and available.
And responding to a second touch operation on a target point of the shot-geophone base map or the common-center-point base map by the computer equipment, and displaying a profile map of the seismic data of the target point, wherein the target point is a shot point, a geophone point or a surface element point.
The second touch operation can be set and changed as required; for example, the second touch operation is a click operation of clicking a left button of the mouse; taking the target point as the demodulator probe as an example, if the computer device receives a second touch operation clicked at any demodulator probe on the shot-geophone diagram, a cross-sectional view of second target data of the demodulator probe is displayed on the interactive interface. In another possible implementation, a cross-sectional view of the second seismic data of the detection point is displayed on another interactive interface; referring to fig. 5, the left side of the diagram is an interactive interface, a shot base map is displayed on the interactive interface, the right side of the diagram is a section diagram of first seismic data displayed on another interactive interface by shots on the interactive interface subjected to the second touch operation, and the distribution of noise in the first seismic data and the relationship between the noise and the earth surface can be visually seen through the section diagram.
In the embodiment of the application, the information such as the noise distribution condition of the seismic data of the target point can be visually obtained by displaying the profile of the seismic data through the interactive interface, and the visualization is high.
It should be noted that, in response to the fifth touch operation on the target point on the shot-geophone base map or the common-midpoint base map, the computer device can also display the data volume of the seismic data of the target point.
It should be noted that, by displaying the shot verification base map and the common-center-point base map on the interactive interface, one-step visualization operation after defining the observation system for the seismic data is realized. For example, if the third seismic data of the surface element point on one of the inline lines on the common centroid rendering is selected for stacking, the location of the line can be determined based on the common centroid rendering, and the third attribute parameters such as the elevation of the earth's surface can be obtained.
Step 104: the computer device determines target seismic data based on the first seismic data for each target shot, the second seismic data for each target geophone point, and the third seismic data for each target face meta-point.
Wherein the target seismic data is used to image the subsurface formation.
It should be noted that the computer device determines at least one of the first seismic data of each target shot point, the second seismic data of each target detection point, and the third seismic data of each target surface element point as the target seismic data.
For example, the computer device may take the first seismic data for each target shot as target seismic data; or taking the first seismic data of each target shot point and the second seismic data of each target detection point as target seismic data; or taking the first seismic data of each target shot point, the second seismic data of each target detection point and the third seismic data of each target surface element point as target seismic data.
It should be noted that the target seismic data can be selected through the above steps 101-104, and the method further processes the target seismic data through the following steps 105-106.
Step 105: and the computer equipment preprocesses the target seismic data based on the target preprocessing parameters to obtain first target data.
It should be noted that the computer device preprocesses the target seismic data through the processing interaction integration module. The processing and interaction integrated module comprises a processing unit and an interaction unit. The computer device preprocesses the target seismic data based on the processing unit and interacts the target seismic data based on the interaction unit.
In one possible implementation, the processing unit is inserted as a computing unit into a control menu of the interaction unit, so that the computer device inputs the target seismic data into the interaction unit and interacts the target seismic data through the interaction unit. The interaction unit sends the target seismic data to the processing unit, the processing unit preprocesses the target seismic data in the process that the interaction unit interacts the target seismic data, the preprocessed target seismic data are sent to the interaction unit, and the preprocessed first target data are output through the interaction unit.
When the target seismic data is processed by the conventional processing unit, when an error occurs, the processing unit does not terminate the operation, and the operation is always executed until the task is terminated, which obviously takes time and labor. In the embodiment of the application, the processing unit is inserted into the interaction unit, so that the interaction unit can control the operation process of the target seismic data, and seamless transmission and unified management of preprocessing and interaction of the target seismic data are realized; the situation that the target seismic data continue to operate due to errors when passing through preprocessing is avoided, and therefore waste of time and resources is reduced by timely stopping failure or wrong operation.
In another possible implementation, the interaction unit is added to a control menu of the processing unit, so that the computer device inputs the target seismic data into the processing unit, and the target seismic data is preprocessed by the processing unit. The processing unit sends the preprocessed target seismic data to the interaction unit, the target seismic data are interacted through the interaction unit in the process that the processing unit preprocesses the target seismic data, and the preprocessed first target data are output through the processing unit.
In the embodiment of the application, the interaction unit is added into the control menu of the processing unit, so that the operation of the target seismic data in the preprocessing can be controlled through the interaction unit, the situation that the target seismic data continues to operate due to errors when being preprocessed through the processing unit is avoided, and the waste of time and resources is reduced by timely terminating the fault or the wrong operation.
The interaction of the interaction unit on the target seismic data comprises the following implementation modes:
(1) The computer device displays a pre-processing state of the target seismic data.
The computer equipment displays the preprocessing state of the target seismic data through the interaction unit, so that the processing state of the target seismic data can be observed in real time; and the processing process of the target seismic data can be monitored, including monitoring which step the preprocessing of the target seismic data is operated to, and whether errors or faults occur in the operation process.
(2) The computer device pauses preprocessing the target seismic data in response to a third touch operation on the target seismic data.
In this implementation, the computer device may suspend the running process of the target seismic data through the interaction unit, so that preprocessing the target seismic data may be suspended when an error or failure occurs in the running of the target seismic data.
In another possible implementation, the computer device may pause preprocessing the target seismic data based on predefined parameters in the interactive unit. The pre-defined parameters are used for guiding the pause of the preprocessing of the target seismic data, and when the pre-defined conditions of the preprocessing parameters are met, the preprocessing of the target seismic data is paused. For example, if the pre-defined parameter is to suspend processing of the target seismic data after pre-processing of the first seismic data of 10 target shots, the computer device suspends processing of the target seismic data after pre-processing of the first seismic data of 10 target shots by the processing unit.
It should be noted that, after the interaction unit suspends processing the target seismic data, the computer device may pop up a corresponding interaction processing interface, and after a response is made that a processing person processes the target seismic data on the interaction processing interface, the computer device continues to perform corresponding preprocessing on the target seismic data through the processing unit.
(3) And the computer equipment responds to the fourth touch operation on the target seismic data and finishes preprocessing the target seismic data.
In this implementation, the computer device finishes preprocessing the target seismic data through the interaction unit; therefore, when the target seismic data is preprocessed in error or fault, or the preprocessing is finished, the preprocessing of the target seismic data can be finished in time.
It should be noted that the control point for displaying, suspending and terminating the target seismic data can be set and changed as required; for example, the target seismic data is displayed when the target seismic data starts to be preprocessed; and pausing when an error or fault occurs in the target seismic data processing, and stopping when the target seismic data preprocessing is finished.
When the target seismic data is processed by the conventional method, when an error occurs, the processing unit does not terminate operation, and the operation is performed until the task is completed, which obviously takes time and labor. In the embodiment of the application, the processing unit is inserted into the interaction unit, so that the interaction unit can control the processing process of the target seismic data, and seamless transmission and unified management of processing and interaction of the target seismic data are realized; the situation that the target seismic data continues to operate due to errors when processed by the processing unit is avoided, and therefore time and resource waste is reduced by timely stopping fault or error operation.
It should be noted that the computer device may not only pre-process the target seismic data during the process of interacting the target seismic data, but also interact the target seismic data during the process of pre-processing the target seismic data; the target seismic data can be preprocessed and interacted respectively, namely the processing unit and the interaction unit can operate independently and are flexible and changeable.
The acquisition process of the target preprocessing parameters comprises the following steps (1) to (2):
(1) A computer device obtains a plurality of pre-processing effects of historical seismic data.
Each preprocessing effect of the historical seismic data is a processing effect obtained by preprocessing one of the plurality of preprocessing parameters.
When the computer equipment processes the historical seismic data, a plurality of branches can simultaneously process the historical seismic data, and each branch can have different preprocessing parameters, so that a plurality of different preprocessing effects can be obtained based on a plurality of different preprocessing parameters.
It should be noted that the processing effect may be displayed in the form of a cross-sectional view or header data. Referring to fig. 6, fig. 6 is a cross-sectional view of a plurality of pretreatment effects obtained by a plurality of branch pretreatments.
The preprocessing includes noise removal processing, static correction processing, linear noise processing, linear correction processing, and the like. For example, if the preprocessing is static correction processing, the preprocessing parameter is a static correction preprocessing parameter, and the corresponding processing effect is a processing effect of the static correction processing. Referring to fig. 7, the cross-sectional view of a plurality of historical seismic data in the shot base map before and after the static correction processing is performed is shown, the cross-sectional view can directly display the preprocessing effect of the historical seismic data, and the preprocessing effect can be obtained more intuitively by comparing with the cross-sectional view before the preprocessing.
For example, if the preprocessing is linear noise processing, the preprocessing parameter is a linear noise preprocessing parameter, and the corresponding preprocessing effect is a preprocessing effect of the linear noise processing. Referring to fig. 8, the cross-sectional view of the historical seismic data before and after linear noise preprocessing and the cross-sectional view of the linear noise of the first target data obtained by preprocessing are shown, the cross-sectional view can directly display the preprocessing effect of the historical seismic data, and the preprocessing effect can be obtained more intuitively by comparing with the cross-sectional view before the preprocessing.
For example, if the preprocessing is linear correction processing, the preprocessing parameters are linear correction preprocessing parameters, and the corresponding preprocessing effect is the preprocessing effect of the linear correction processing. Referring to fig. 9, a cross-section of the linear correction pre-processing of historical seismic data at a cross on a shot base map is shown, which can directly show the effect of the pre-processing.
In another possible implementation, the computer device determines a pre-processing effect of the target seismic data based on the target seismic data and the first target data. The computer device updates the target pre-processing parameters based on the processing effect of the target seismic data.
The computer equipment determines the preprocessing effect of the target seismic data by comparing the target seismic data before and after preprocessing, wherein the preprocessing effect can be displayed in the form of a profile or trace data.
It should be noted that the computer device displays the processing effect of the target seismic data through the interaction unit. When target seismic data are preprocessed through a traditional method, computer equipment can only output first target data obtained through processing through a processing unit, the preprocessing effect cannot be directly displayed, an additional data display tool is required to be called to display and view the preprocessing effect, once the preprocessing effect is not good, the computer equipment also needs to input the target seismic data into the processing unit again, and preprocessing parameters of the processing unit are changed to preprocess the target seismic data again; thus, the computer device needs to repeat the above process between the processing unit and the data display tool many times, greatly reducing efficiency. In the embodiment of the application, the computer equipment is provided with the interaction unit by inserting the interaction unit into the processing unit, or the processing unit is inserted into the interaction unit, so that the preprocessing effect can be directly displayed through the interaction unit, and then the preprocessing parameters can be updated in time based on the preprocessing effect, thereby saving time and labor, greatly improving the efficiency and facilitating the simplification of user operation.
(2) The computer device determines a target pre-processing parameter from a plurality of pre-processing parameters based on the plurality of pre-processing effects.
It should be noted that the computer device may display a plurality of preprocessing effects through the interactive display and comparison module, and may compare the plurality of preprocessing effects. The computer device determines a preprocessing parameter having the best preprocessing effect among the plurality of preprocessing effects as a target preprocessing parameter.
In the embodiment of the application, the preprocessing parameters are optimized based on the preprocessing effect by a user through displaying and comparing the processing effect of different preprocessing parameters.
In another possible implementation, the computer device pre-processes the historical seismic data in a similar but different pre-processing method. The computer equipment acquires a plurality of different preprocessing methods for preprocessing and a plurality of preprocessing effects corresponding to the different preprocessing methods. The computer equipment compares the preprocessing effects by displaying the preprocessing effects of a plurality of different preprocessing methods, and determines the preprocessing method with the best preprocessing effect as the target preprocessing method. In the embodiment of the application, the processing effects of different preprocessing methods are displayed and compared, so that a user can conveniently formulate a reasonable preprocessing flow based on the preprocessing effects, and the process of screening the preprocessing methods for many times when other target seismic data are processed is avoided by determining the optimal preprocessing method.
In western regions of China, seismic data have great static correction problems and signal-to-noise ratio problems, the seismic data need to be preprocessed repeatedly, and the preprocessing effect is displayed through an additional data display tool so as to select the optimal preprocessing parameters and the optimal preprocessing method, so that time and labor are wasted; the method provided by the embodiment of the application can determine the optimal pretreatment parameters and the optimal pretreatment method, and is time-saving and labor-saving.
Step 106: and the computer equipment performs basic processing on the first target data to obtain second target data, and the second target data is used for underground structure imaging.
The basic processing comprises track editing processing, time window picking processing, data cutting processing, apparent velocity picking processing, horizon picking processing, spectrum analysis processing and the like.
It should be noted that the computer device interacts the first target data through the interactive display and comparison module, that is, responds to a sixth touch operation on the first target data, and performs basic processing on the first target data.
In the embodiment of the application, the problems of how to select targeted and representative target seismic data, how to monitor the preprocessing process of the target seismic data, how to monitor and the like in the process of processing the seismic data are effectively solved, processing personnel can observe in time, check the preprocessing result, change the preprocessing flow and parameters and the like, the problems of multiple steps, troublesome operation, low efficiency and the like in the current field processing of the seismic data are solved, and the processing efficiency of the seismic data is greatly improved.
The embodiment of the application provides a seismic data selection method, which determines a target shot point, a target geophone point and a target surface element point of an attribute parameter within a preset attribute parameter range respectively based on the attribute parameters of the shot point, the geophone point and the target surface element point, so that the seismic data of the target shot point, the target geophone point and the target surface element point have pertinence and representativeness, and the target seismic data determined based on the seismic data of the target shot point, the target geophone point and the target surface element point also have pertinence and representativeness, thereby improving the accuracy of the target seismic data for underground structure imaging.
The embodiment of the present application further provides a seismic data selecting device, referring to fig. 10, the device includes:
the first acquisition module 1001 is configured to acquire seismic data of a work area to be researched, where the seismic data includes first seismic data of multiple shot points, second seismic data of multiple detection points, and third seismic data of multiple surface elements;
a second obtaining module 1002, configured to obtain a first attribute parameter of each shot point, a second attribute parameter of each demodulator probe, and a third attribute parameter of each primitive point;
a selecting module 1003, configured to select at least one target shot point, at least one target receiver point, and at least one target surface element point from the multiple shot points, the multiple receiver points, and the multiple surface elements 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, where the at least one target shot point is a shot point with a first attribute parameter within a first preset attribute parameter range, the at least one target receiver point is a receiver point with a second attribute parameter within a second preset attribute parameter range, and the at least one surface element point is a surface element point with a third attribute parameter within a third preset attribute parameter range;
a first determining module 1004 for determining target seismic data based on the first seismic data of each target shot point, the second seismic data of each target geophone point, and the third seismic data of each target surface metapoint, the target seismic data being used for subsurface formation imaging.
In a possible implementation manner, the selecting module 1003 is configured to:
generating a shot-geophone base map based on the first seismic data and the first attribute parameters of the plurality of shot points, the second seismic data and the second attribute parameters of the plurality of wave detection points and the shot-geophone grid data, wherein the shot-geophone base map is a grid base map formed by a plurality of shot lines and a plurality of receiving lines, each shot line comprises a plurality of shot points, and each receiving line comprises a plurality of wave detection points;
generating a common central point base map based on third seismic data and third attribute parameters of the surface element points and the common central point grid data, wherein the common central point base map is a grid base map formed by a plurality of main measuring lines and a plurality of connecting lines, and the surface element points are respectively located at a plurality of intersection points of the main measuring lines and the connecting lines;
respectively acquiring a first preset attribute parameter range, a second preset attribute parameter range and a third preset attribute parameter range, wherein the first preset attribute parameter range, the second preset attribute parameter range and the third preset attribute parameter range are respectively used for selecting a target shot point, a target wave detection point and a target surface element point;
determining a first target area in the shot base map, and selecting at least one target shot point from a plurality of shot points in the first target area based on a first attribute parameter of each shot point in the first target area and the first preset attribute parameter range;
determining a second target region in the shot-geophone base map, and selecting at least one target demodulator probe from a plurality of demodulator probes in the second target region based on a second attribute parameter of each demodulator probe in the second target region and the second preset attribute parameter range;
determining a third target area in the common center point base map, and selecting at least one target area element point from a plurality of area element points of the third target area based on a third attribute parameter of each area element point of the third target area and the preset third attribute parameter range.
In one possible implementation, the apparatus further includes:
the display module is used for displaying an interactive interface, and the interactive interface is used for displaying the shot-examination base map and the common-center-point base map;
the first display module is used for responding to a first touch operation on a target point of the shot-geophone base map or the common-center-point base map and displaying attribute parameters of the target point, wherein the target point is a shot point, a demodulator probe or a surface primitive point;
and the second display module is used for responding to a second touch operation on a target point of the shot-geophone base map or the common-center-point base map and displaying a section map of the seismic data of the target point, wherein the target point is a shot point, a demodulator probe or a surface element point.
In a possible implementation manner, the first determining module 1004 is configured to:
and determining at least one of the first seismic data of each target shot point, the second seismic data of each target demodulator probe and the third seismic data of each target surface element point as the target seismic data.
In one possible implementation, the apparatus further includes:
the first processing module is used for preprocessing the target seismic data based on target preprocessing parameters to obtain first target data;
and the second processing module is used for carrying out basic processing on the first target data to obtain second target data, and the second target data is used for carrying out underground structure imaging.
In one possible implementation, the apparatus further includes:
the third display module is used for displaying the preprocessing state of the target seismic data;
a pause module for pausing preprocessing the target seismic data in response to a third touch operation on the target seismic data;
and the ending module is used for responding to the fourth touch operation of the target seismic data and ending the preprocessing of the target seismic data.
In one possible implementation, the apparatus further includes:
a second determination module for determining a preprocessing effect of the target seismic data based on the target seismic data and the first target data;
and the updating module is used for updating the target preprocessing parameters based on the preprocessing effect of the target seismic data.
In a possible implementation manner, the first processing module is configured to:
acquiring a plurality of preprocessing effects of historical seismic data, wherein each preprocessing effect of the historical seismic data is a processing effect obtained by preprocessing one processing parameter of a plurality of preprocessing parameters;
determining the target pre-processing parameter from the plurality of pre-processing parameters based on the plurality of pre-processing effects.
Fig. 11 shows a block diagram of a computer device 1100 provided in an exemplary embodiment of the present application. The computer device 1100 may be a portable mobile computer device such as: a smart phone, a tablet computer, an MP3 player (Moving Picture Experts Group Audio Layer III, motion video Experts compression standard Audio Layer 3), an MP4 player (Moving Picture Experts Group Audio Layer IV, motion video Experts compression standard Audio Layer 4), a notebook computer, or a desktop computer. Computer device 1100 may also be referred to by other names such as user device, portable computer device, laptop computer device, desktop computer device, and so forth.
Generally, the computer device 1100 includes: a processor 1101 and a memory 1102.
Processor 1101 may include one or more processing cores, such as a 4-core processor, an 8-core processor, or the like. The processor 1101 may be implemented in at least one hardware form of a DSP (Digital Signal Processing), an FPGA (Field-Programmable Gate Array), and a PLA (Programmable Logic Array). The processor 1101 may also include a main processor and a coprocessor, where the main processor is a processor for Processing data in an awake state, and is also called a Central Processing Unit (CPU); a coprocessor is a low power processor for processing data in a standby state. In some embodiments, the processor 1101 may be integrated with a GPU (Graphics Processing Unit) that is responsible for rendering and rendering content that the display screen needs to display. In some embodiments, the processor 1101 may further include an AI (Artificial Intelligence) processor for processing computing operations related to machine learning.
Memory 1102 may include one or more computer-readable storage media, which may be non-transitory. Memory 1102 can also include high-speed random access memory, as well as non-volatile memory, such as one or more magnetic disk storage devices, flash memory storage devices. In some embodiments, a non-transitory computer readable storage medium in memory 1102 is used to store at least one instruction for execution by processor 1101 to implement the seismic data selection method provided by the method embodiments of the present application.
In some embodiments, the computer device 1100 may also optionally include: a peripheral interface 1103 and at least one peripheral. The processor 1101, memory 1102 and peripheral interface 1103 may be connected by buses or signal lines. Various peripheral devices may be connected to peripheral interface 1103 by buses, signal lines, or circuit boards. Specifically, the peripheral device includes: at least one of radio frequency circuitry 1104, display screen 1105, camera assembly 1106, audio circuitry 1107, positioning assembly 1108, and power supply 1109.
The peripheral interface 1103 may be used to connect at least one peripheral associated with I/O (Input/Output) to the processor 1101 and the memory 1102. In some embodiments, the processor 1101, memory 1102, and peripheral interface 1103 are integrated on the same chip or circuit board; in some other embodiments, any one or two of the processor 1101, the memory 1102 and the peripheral device interface 1103 may be implemented on separate chips or circuit boards, which is not limited by this embodiment.
The Radio Frequency circuit 1104 is used to receive and transmit RF (Radio Frequency) signals, also called electromagnetic signals. The radio frequency circuit 1104 communicates with communication networks and other communication devices via electromagnetic signals. The radio frequency circuit 1104 converts an electric signal into an electromagnetic signal to transmit, or converts a received electromagnetic signal into an electric signal. Optionally, the radio frequency 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 subscriber identity module card, and so forth. The radio frequency circuit 1104 may communicate with other computer devices via at least one wireless communication protocol. The wireless communication protocols include, but are not limited to: the world wide web, metropolitan area networks, intranets, 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 further include NFC (Near Field Communication) related circuit, which is not limited in this application.
The display screen 1105 is used to display a UI (User Interface). The UI may include graphics, text, icons, video, and any combination thereof. When the display screen 1105 is a touch display screen, the display screen 1105 also has the ability to capture touch signals on or above the surface of the display screen 1105. The touch signal may be input to the processor 1101 as a control signal for processing. At this point, the display screen 1105 may also be used to provide virtual buttons and/or a virtual keyboard, also referred to as soft buttons and/or a soft keyboard. In some embodiments, the display screen 1105 may be one, disposed on the front panel of the computer device 1100; in other embodiments, the display screens 1105 may be at least two, each disposed on a different surface of the computer device 1100 or in a folded design; in other embodiments, the display 1105 may be a flexible display disposed on a curved surface or on a folded surface of the computer device 1100. Even more, the display 1105 may be arranged in a non-rectangular irregular pattern, i.e., a shaped screen. The Display screen 1105 may be made of LCD (Liquid Crystal Display), OLED (Organic Light-Emitting Diode), and the like.
Camera assembly 1106 is used to capture images or video. Optionally, camera assembly 1106 includes a front camera and a rear camera. Generally, a front camera is disposed on a front panel of a computer apparatus, and a rear camera is disposed on a rear surface of the computer apparatus. In some embodiments, the number of the rear cameras is at least two, and each rear camera is any one of a main camera, a depth-of-field camera, a wide-angle camera and a telephoto camera, so that the main camera and the depth-of-field camera are fused to realize a background blurring function, the main camera and the wide-angle camera are fused to realize panoramic shooting and a VR (Virtual Reality) shooting function or other fusion shooting functions. In some embodiments, camera assembly 1106 may also include a flash. The flash lamp can be a single-color temperature flash lamp or a double-color temperature flash lamp. The double-color-temperature flash lamp is a combination of a warm-light flash lamp and a cold-light flash lamp and can be used for light compensation under different color temperatures.
The audio circuitry 1107 may include a microphone and a speaker. The microphone is used for collecting sound waves of a user and the environment, converting the sound waves into electric signals, and inputting the electric signals to the processor 1101 for processing or inputting the electric signals to the radio frequency circuit 1104 to achieve voice communication. The microphones may be multiple and placed at different locations on the computer device 1100 for stereo sound acquisition or noise reduction purposes. The microphone may also be an array microphone or an omni-directional pick-up microphone. The speaker is then used to convert electrical signals from the processor 1101 or the radio frequency circuit 1104 into sound waves. The loudspeaker can be a traditional film loudspeaker or a piezoelectric ceramic loudspeaker. When the speaker is a piezoelectric ceramic speaker, the speaker can be used for purposes such as converting an electric signal into a sound wave audible to a human being, or converting an electric signal into a sound wave inaudible to a human being to measure a distance. In some embodiments, the audio circuitry 1107 may also include a headphone jack.
The positioning component 1108 is used to locate the current geographic Location of the computer device 1100 for navigation or LBS (Location Based Service). The Positioning component 1108 may be a Positioning component based on the Global Positioning System (GPS) in the united states, the beidou System in china, or the galileo System in russia.
The power supply 1109 is used to provide power to the various components within the computer device 1100. The power supply 1109 may be alternating current, direct current, disposable or rechargeable. When the power supply 1109 includes a rechargeable battery, the rechargeable battery may be a wired rechargeable battery or a wireless rechargeable battery. The wired rechargeable battery is a battery charged through a wired line, and the wireless rechargeable battery is a battery charged through a wireless coil. The rechargeable battery may also be used to support fast charge technology.
In some embodiments, the computer device 1100 also includes one or more sensors 1110. The one or more sensors 1110 include, but are not limited to: acceleration sensor 1111, gyro sensor 1112, pressure sensor 1113, fingerprint sensor 1114, optical sensor 1115, and proximity sensor 1116.
The acceleration sensor 1111 can detect the magnitude of acceleration in three coordinate axes of a coordinate system established with the computer apparatus 1100. For example, the acceleration sensor 1111 may be configured to detect components of the gravitational acceleration in three coordinate axes. The processor 1101 may control the display screen 1105 to display a user interface in a lateral view or a longitudinal view according to the gravitational acceleration signal collected by the acceleration sensor 1111. The acceleration sensor 1111 may also be used for acquisition of motion data of a game or a user.
The gyro sensor 1112 may detect a body direction and a rotation angle of the computer device 1100, and the gyro sensor 1112 may collect a 3D motion of the user on the computer device 1100 in cooperation with the acceleration sensor 1111. From the data collected by gyroscope sensor 1112, processor 1101 may implement the following functions: motion sensing (such as changing the UI according to a user's tilting operation), image stabilization at the time of photographing, game control, and inertial navigation.
The pressure sensors 1113 may be disposed on the side bezel of the computer device 1100 and/or underneath the display screen 1105. When the pressure sensor 1113 is disposed on the side frame of the computer device 1100, the holding signal of the user to the computer device 1100 can be detected, and the processor 1101 performs left-right hand recognition or shortcut operation according to the holding signal collected by the pressure sensor 1113. When the pressure sensor 1113 is arranged at the lower layer of the display screen 1105, the processor 1101 controls the operability control on the UI interface according to the pressure operation of the user on the display screen 1105. The operability control comprises at least one of a button control, a scroll bar control, an icon control, and a menu control.
The fingerprint sensor 1114 is used to collect a fingerprint of the user, and the processor 1101 identifies the user according to the fingerprint collected by the fingerprint sensor 1114, or the fingerprint sensor 1114 identifies the user according to the collected fingerprint. Upon recognizing that the user's identity is a trusted identity, the user is authorized by the processor 1101 to perform relevant sensitive operations including unlocking the screen, viewing encrypted information, downloading software, paying for and changing settings, etc. The fingerprint sensor 1114 may be disposed on the front, back, or side of the computer device 1100. When a physical key or vendor Logo is provided on the computer device 1100, the fingerprint sensor 1114 may be integrated with the physical key or vendor Logo.
Optical sensor 1115 is used to collect ambient light intensity. In one embodiment, the processor 1101 may 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 adjusted down. In another embodiment, processor 1101 may also dynamically adjust the shooting parameters of camera assembly 1106 based on the ambient light intensity collected by optical sensor 1115.
The proximity sensor 1116, also referred to as a distance sensor, is typically disposed on a front panel of the computer device 1100. The proximity sensor 1116 is used to capture the distance between the user and the front of the computer device 1100. In one embodiment, the display screen 1105 is controlled by the processor 1101 to switch from a bright screen state to a dark screen state when the proximity sensor 1116 detects that the distance between the user and the front face of the computer device 1100 is gradually decreasing; when the proximity sensor 1116 detects that the distance between the user and the front face of the computer device 1100 becomes progressively larger, the display screen 1105 is controlled by the processor 1101 to switch from a breath-screen state to a light-screen state.
Those skilled in the art will appreciate that the configuration illustrated in FIG. 11 does not constitute a limitation of the computer device 1100, and may include more or fewer components than those illustrated, or may combine certain components, or may employ a different arrangement of components.
The embodiment of the application also provides a computer-readable storage medium, wherein at least one instruction is stored in the computer-readable storage medium, and the at least one instruction is loaded and executed by a processor to realize the operation executed by the seismic data selection method in any implementation manner.
Embodiments of the present application also provide a computer program product or a computer program comprising computer program code, the computer program code being stored in a computer readable storage medium. A processor of the computer device reads the computer program code from the computer-readable storage medium, and the processor executes the computer program code to cause the computer device to perform the operations performed by the seismic data selection method described above.
In some embodiments, a computer program according to embodiments of the present application may be deployed to be executed on one computer apparatus or on multiple computer apparatuses at one site, or on multiple computer apparatuses distributed at multiple sites and interconnected by a communication network, and the multiple computer apparatuses distributed at the multiple sites and interconnected by the communication network may constitute a block chain system.
The embodiment of the application provides a seismic data selection method, which determines target shot points, target wave detection points and target surface element points of attribute parameters within a preset attribute parameter range respectively based on the attribute parameters of shot points, wave detection points and target surface element points, so that the seismic data of the target shot points, the target wave detection points and the target surface element points have pertinence and representativeness, and the target seismic data determined based on the seismic data of the target shot points, the target wave detection points and the target surface element points also have pertinence and representativeness, thereby improving the accuracy of the target seismic data for imaging an underground structure.
The present application is intended to cover various modifications, equivalent arrangements, improvements, etc. without departing from the spirit and scope of the present application.

Claims (10)

1. A method for seismic data selection, the method comprising:
acquiring seismic data of a work area to be researched, wherein the seismic data comprise first seismic data of a plurality of shot points, second seismic data of a plurality of wave detection points and third seismic data of a plurality of surface elements;
acquiring a first attribute parameter of each shot point, a second attribute parameter of each demodulator probe and a third attribute parameter of each primitive point;
selecting at least one target shot point, at least one target demodulator probe and at least one target plane element point from the plurality of shot points, the plurality of demodulator probes and the plurality of plane elements on the basis of the first attribute parameter of each shot point, the second attribute parameter of each demodulator probe and the third attribute parameter of each plane element point, wherein the at least one target shot point is a shot point with a first attribute parameter within a first preset attribute parameter range, the at least one target demodulator probe is a demodulator probe with a second attribute parameter within a second preset attribute parameter range, and the at least one plane element point is a plane element point with a third attribute parameter within a third preset attribute parameter range;
and determining target seismic data based on the first seismic data of each target shot point, the second seismic data of each target detection point and the third seismic data of each target surface element point, wherein the target seismic data are used for underground structure imaging.
2. The method of selecting seismic data according to claim 1, wherein the seismic data further includes shot-geophone grid data and common-midpoint grid data, and the selecting at least one target shot point, at least one target receiver point, and at least one target facies element point from the plurality of shot points, the plurality of receiver points, and the plurality of facies 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 facies element point comprises:
generating a shot-geophone base map based on the first seismic data and the first attribute parameters of the plurality of shot points, the second seismic data and the second attribute parameters of the plurality of wave detection points and the shot-geophone grid data, wherein the shot-geophone base map is a grid base map formed by a plurality of shot lines and a plurality of receiving lines, each shot line comprises a plurality of shot points, and each receiving line comprises a plurality of wave detection points;
generating a common central point base map based on third seismic data and third attribute parameters of the surface element points and the common central point grid data, wherein the common central point base map is a grid base map formed by a plurality of main measuring lines and a plurality of connecting lines, and the surface element points are respectively located at a plurality of intersection points of the main measuring lines and the connecting lines;
respectively acquiring a first preset attribute parameter range, a second preset attribute parameter range and a third preset attribute parameter range, wherein the first preset attribute parameter range, the second preset attribute parameter range and the third preset attribute parameter range are respectively used for selecting a target shot point, a target wave detection point and a target surface element point;
determining a first target area in the shot base map, and selecting at least one target shot point from a plurality of shot points in the first target area based on a first attribute parameter of each shot point in the first target area and the first preset attribute parameter range;
determining a second target region in the shot-geophone base map, and selecting at least one target demodulator probe from a plurality of demodulator probes of the second target region based on a second attribute parameter of each demodulator probe of the second target region and the second preset attribute parameter range;
and determining a third target area in the common center point base map, and selecting at least one target surface element point from a plurality of surface element points of the third target area based on a third attribute parameter of each surface element point of the third target area and the preset third attribute parameter range.
3. The method of selecting seismic data according to claim 2, further comprising:
displaying an interactive interface, wherein the interactive interface is used for displaying the shot-geophone base map and the common-center-point base map;
responding to a first touch operation on a target point of the shot-geophone base map or the common-center-point base map, and displaying attribute parameters of the target point, wherein the target point is a shot point, a demodulator probe or a surface element point;
and responding to a second touch operation on a target point of the shot-geophone base map or the common-center-point base map, and displaying a profile of the seismic data of the target point, wherein the target point is a shot point, a demodulator probe or a surface element point.
4. The method for selecting seismic data according to claim 1, wherein the determining target seismic data based on the first seismic data of each target shot, the second seismic data of each target geophone, and the third seismic data of each target primitive comprises:
and determining at least one of the first seismic data of each target shot point, the second seismic data of each target demodulator probe and the third seismic data of each target surface element point as the target seismic data.
5. A method of seismic data selection according to claim 1, further comprising:
preprocessing the target seismic data based on target preprocessing parameters to obtain first target data;
and performing basic processing on the first target data to obtain second target data, wherein the second target data is used for underground structure imaging.
6. The method of determining seismic data of claim 5, further comprising:
displaying the preprocessing state of the target seismic data;
pausing preprocessing the target seismic data in response to a third touch operation on the target seismic data;
and responding to a fourth touch operation on the target seismic data, and finishing preprocessing the target seismic data.
7. The method of selecting seismic data according to claim 5, further comprising:
determining a preprocessing effect of the target seismic data based on the target seismic data and the first target data;
and updating the target preprocessing parameters based on the preprocessing effect of the target seismic data.
8. The seismic data selection method of claim 5, wherein the target preprocessing parameters are obtained by:
acquiring a plurality of preprocessing effects of historical seismic data, wherein each preprocessing effect of the historical seismic data is a processing effect obtained by preprocessing one preprocessing parameter of a plurality of preprocessing parameters;
determining the target pre-processing parameter from the plurality of pre-processing parameters based on the plurality of pre-processing effects.
9. An apparatus for seismic data selection, the apparatus comprising:
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring seismic data of a work area to be researched, and the seismic data comprise first seismic data of a plurality of shot points, second seismic data of a plurality of detection points and third seismic data of a plurality of surface element points;
the second acquisition module is used for acquiring the first attribute parameter of each shot point, the second attribute parameter of each demodulator probe and the third attribute parameter of each primitive point;
a selecting module, configured to select at least one target shot point, at least one target receiver point, and at least one target surface element point from the multiple shot points, the multiple receiver points, and the multiple surface elements 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, where the at least one target shot point is a shot point with a first attribute parameter within a first preset attribute parameter range, the at least one target receiver point is a receiver point with a second attribute parameter within a second preset attribute parameter range, and the at least one surface element point is a surface element point with a third attribute parameter within a third preset attribute parameter range;
the first determining module is used for determining target seismic data based on the first seismic data of each target shot point, the second seismic data of each target detection point and the third seismic data of each target surface element point, and the target seismic data are used for underground structure imaging.
10. A computer device comprising one or more processors and one or more memories having stored therein at least one instruction that is loaded and executed by the one or more processors to perform operations performed by a method of selection of seismic data as claimed in any one of claims 1 to 8.
CN202110872681.0A 2021-07-30 2021-07-30 Seismic data selection method and device and computer equipment Pending CN115685331A (en)

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Application Number Priority Date Filing Date Title
CN202110872681.0A CN115685331A (en) 2021-07-30 2021-07-30 Seismic data selection method and device and computer equipment

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Publication Number Publication Date
CN115685331A true CN115685331A (en) 2023-02-03

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