CN114063165B - Three-dimensional seismic data splicing method and device - Google Patents
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- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
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- G01V1/28—Processing seismic data, e.g. for interpretation or for event detection
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- G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
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Abstract
The invention provides a method and a device for splicing three-dimensional seismic data, wherein the method for splicing the three-dimensional seismic data comprises the following steps: picking up a stable horizon in a splicing position of a plurality of three-dimensional seismic data to be spliced; extracting a uniform target line according to the stable horizon; and carrying out cross correlation on the plurality of three-dimensional seismic data to be spliced by utilizing the uniform target lines. The method and the device for splicing the three-dimensional seismic data can eliminate floating time difference among a plurality of blocks, improve the imaging quality of the spliced position, and provide high-quality result data for subsequent seismic geological interpretation.
Description
Technical Field
The invention relates to the field of petroleum exploration, in particular to a seismic data processing technology, and particularly relates to a three-dimensional seismic data splicing method and device.
Background
In the prior art, because the work area is too large or because the historical seismic data of the work area have the existing seismic data which are not matched, a floating time difference phenomenon exists when the conventional processing means is needed to splice, namely, in the conventional processing or the splicing processing process of a plurality of pieces of achievement data, in the overlapping area of a plurality of pieces of acquisition data or a plurality of pieces of achievement data, the conventional processing means cannot correct due to the factors such as acquisition time, acquisition mode, surface change, processing difference and the like, and the conventional processing means cannot acquire due to the lack of acquisition or related information, and the conventional processing means cannot acquire due to the non-fixed time difference. The floating time difference is a phenomenon commonly existing in the process of splicing a plurality of pieces of seismic data, and the imaging quality of the spliced position is seriously influenced, so that the floating time difference in the process of splicing is always a difficult problem in the process of the seismic data.
Disclosure of Invention
Aiming at the problems in the prior art, the three-dimensional seismic data splicing method and device provided by the invention can well eliminate floating time difference among a plurality of blocks, improve the imaging quality of the splicing position and provide high-quality result data for subsequent seismic geological interpretation.
In order to solve the technical problems, the invention provides the following technical scheme:
in a first aspect, the present invention provides a method for stitching three-dimensional seismic data, including:
picking up a stable horizon in a splicing position of a plurality of three-dimensional seismic data to be spliced;
extracting a uniform target line according to the stable horizon;
and carrying out cross correlation on the plurality of three-dimensional seismic data to be spliced by utilizing the uniform target lines.
In an embodiment, said extracting a uniform target line from said stable-horizon comprises:
determining a time window range according to the stable horizon;
and extracting the uniform target line according to the time window range and the stable horizon.
In an embodiment, the cross-correlating the plurality of three-dimensional seismic data to be stitched using the uniform target line includes:
performing matched filtering processing on the plurality of three-dimensional seismic data to be spliced to generate filtered three-dimensional seismic data;
the three-dimensional seismic data is cross-correlated with the uniform target line to generate an initial moveout model.
In one embodiment, the method for stitching three-dimensional seismic data further includes:
removing abnormal values and performing difference smoothing on the initial time difference model to generate a final time difference model;
and eliminating floating time differences of the plurality of three-dimensional seismic data to be spliced according to the time difference model so as to splice the plurality of three-dimensional seismic data to be spliced.
In a second aspect, the present invention provides a device for stitching three-dimensional seismic data, the device comprising:
the horizon picking unit is used for picking up stable horizons in the splicing positions of the plurality of three-dimensional seismic data to be spliced;
a target line extraction unit for extracting uniform target lines according to the stable horizon;
and the seismic data cross-correlation unit is used for carrying out cross-correlation on the plurality of three-dimensional seismic data to be spliced by utilizing the uniform target line.
In one embodiment, the target line extraction unit includes:
the time window range determining module is used for determining a time window range according to the stable horizon;
and the target line extraction module is used for extracting the uniform target line according to the time window range and the stable horizon.
In one embodiment, the seismic data cross-correlation unit comprises:
the filtering module is used for carrying out matched filtering processing on the plurality of three-dimensional seismic data to be spliced so as to generate filtered three-dimensional seismic data;
and the initial model generating unit is used for carrying out cross-correlation on the three-dimensional seismic data by utilizing the uniform target line so as to generate an initial time difference model.
In one embodiment, the three-dimensional seismic data stitching device further includes:
the final model generating unit is used for removing abnormal values and performing difference smoothing on the initial time difference model so as to generate a final time difference model;
and the seismic data splicing unit is used for eliminating the floating time difference of the plurality of three-dimensional seismic data to be spliced according to the time difference model so as to splice the plurality of three-dimensional seismic data to be spliced.
In a third aspect, the present invention provides an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor executing the steps of a method for stitching three-dimensional seismic data.
In a fourth aspect, the present invention provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of a method of stitching three-dimensional seismic data.
As can be seen from the above description, the embodiments of the present invention provide a method and an apparatus for stitching three-dimensional seismic data, which first pick up stable horizons in stitching positions of a plurality of three-dimensional seismic data to be stitched; then, extracting a uniform target line according to the stable horizon; and finally, carrying out cross correlation on the plurality of three-dimensional seismic data to be spliced by utilizing the uniform target lines. The invention can well eliminate the floating time difference between the three-dimensional seismic data blocks, improve the imaging quality of the spliced position and provide high-quality result data for subsequent seismic geological interpretation.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for stitching three-dimensional seismic data in accordance with an embodiment of the present invention;
FIG. 2 is a flow chart of step 200 in an embodiment of the invention;
FIG. 3 is a flow chart of step 300 in an embodiment of the invention;
FIG. 4 is a second flow chart of a method for stitching three-dimensional seismic data in accordance with an embodiment of the present invention;
FIG. 5 is a flow chart of a method for stitching three-dimensional seismic data in a specific application example of the invention;
FIG. 6 is a conceptual diagram of a method of stitching three-dimensional seismic data in a specific application example of the invention;
FIG. 7 is a superimposed section of the seismic data of the sea moon down-the-earth mountain before floating time difference adjustment in an embodiment of the invention;
FIG. 8 is a superimposed section of the seismic data of the sea moon down-the-earth mountain after floating time difference adjustment in an embodiment of the invention;
FIG. 9 is a schematic structural diagram of a three-dimensional seismic data stitching device in accordance with an embodiment of the present invention;
fig. 10 is a schematic structural view of a target line extracting unit in the embodiment of the present invention;
FIG. 11 is a schematic diagram of a structure of a seismic data cross-correlation unit in an embodiment of the invention;
FIG. 12 is a schematic diagram II of a three-dimensional seismic data stitching device in accordance with an embodiment of the present invention;
fig. 13 is a schematic structural diagram of an electronic device in an embodiment of the invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
It should be noted that the terms "comprises" and "comprising," and any variations thereof, in the description and claims of the present application and in the foregoing figures, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed or inherent to such process, method, article, or apparatus.
It should be noted that, in the case of no conflict, the embodiments and features in the embodiments may be combined with each other. The present application will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
The embodiment of the invention provides a specific implementation mode of a three-dimensional seismic data splicing method, and referring to fig. 1, the method specifically comprises the following steps:
step 100: and picking up the stable layer positions in the splicing positions of the plurality of three-dimensional seismic data to be spliced.
It should be noted that the stable horizon herein does not refer to a horizon (i.e., a marker layer, a layer or a group of rock layers with obvious characteristics that can be used as a stratum contrast marker) that is stable in a full-scale region.
Step 200: and extracting a uniform target line according to the stable horizon.
It is understood that the uniform target line in step 200 refers to the extraction of uniform target lines from the grid of overlapping areas of the three-dimensional seismic data to be stitched.
Step 300: and carrying out cross correlation on the plurality of three-dimensional seismic data to be spliced by utilizing the uniform target lines.
Specifically, in the overlapping position of the three-dimensional seismic data to be spliced, one bar of forming target line data is extracted by a preset number (preferably 5) of uniform transverse lines and longitudinal lines at intervals, and then the two pieces of target line data are subjected to cross-correlation.
It will be appreciated that the cross-correlation herein is meant to indicate the degree of correlation between two time sequences, i.e. the degree of correlation between the values of the descriptive signal x (t), y (t) at any two different instants t1, t 2. When describing the correlation between two different signals, the two signals may be random signals or deterministic signals.
As can be seen from the above description, the embodiment of the present invention provides a method for stitching three-dimensional seismic data, which includes first picking up stable horizons in stitching positions of a plurality of three-dimensional seismic data to be stitched; then, extracting a uniform target line according to the stable horizon; and finally, carrying out cross correlation on the plurality of three-dimensional seismic data to be spliced by utilizing the uniform target lines. The invention can well eliminate the floating time difference between the three-dimensional seismic data blocks, improve the imaging quality of the spliced position and provide high-quality result data for subsequent seismic geological interpretation.
In one embodiment, referring to fig. 2, step 200 further comprises:
step 201: determining a time window range according to the stable horizon;
step 202: and extracting the uniform target line according to the time window range and the stable horizon.
In step 201 and step 202, the three-dimensional seismic data are sorted to the common central point domain by the splicing position for dynamic correction superposition, the stable horizon is selected, the time window range is controlled according to the horizon, and the uniform target line is extracted according to the three-dimensional seismic data condition.
In one embodiment, referring to fig. 3, step 300 further comprises:
step 301: performing matched filtering processing on the plurality of three-dimensional seismic data to be spliced to generate filtered three-dimensional seismic data;
step 302: the three-dimensional seismic data is cross-correlated with the uniform target line to generate an initial moveout model.
In step 301 and step 302, consistency adjustment is performed on three-dimensional seismic data by a matched filter process. An initial moveout model is then obtained by target line cross-correlation.
In one embodiment, referring to fig. 4, the method for stitching three-dimensional seismic data further includes:
step 400: removing abnormal values and performing difference smoothing on the initial time difference model to generate a final time difference model;
step 500: and eliminating floating time differences of the plurality of three-dimensional seismic data to be spliced according to the time difference model so as to splice the plurality of three-dimensional seismic data to be spliced.
Based on step 302, abnormal values are removed through quality control, and difference smoothing is performed on the initial time difference model, so that a final floating time difference model is obtained. And finally, carrying out combination processing on the data to eliminate floating time difference. And the imaging quality of the splicing position is improved.
From the above description, it can be seen that the embodiment of the present invention provides a method for stitching three-dimensional seismic data, which firstly selects a stable interval at a data stitching position, then obtains a floating time difference model through a series of technical means such as cross-correlation, and after the floating time difference model is applied, the floating time difference between blocks can be well eliminated, the imaging quality at the stitching position is improved, and high-quality result data is provided for subsequent seismic geological interpretation.
To further illustrate the scheme, the invention takes the pre-stack depth migration processing of the sea-moon submarine seismic data as an example, and provides a specific application example of a three-dimensional seismic data splicing method, wherein the specific application example specifically comprises the following contents, and the contents refer to fig. 5 and 6.
S1, investigating construction characteristics of work area data, investigating actual conditions of splicing positions, and analyzing whether the method is suitable for the method.
Specifically, whether the three-dimensional seismic data to be spliced has a stable stratum or not is examined.
And S2, sorting the seismic data of the spliced position to a common central point domain for dynamic correction superposition, selecting a stable horizon, controlling a time window range according to the horizon, and extracting a uniform target line according to the data condition.
Specifically, conventional superposition processing is carried out on three-dimensional seismic data to be spliced, the three-dimensional seismic data to be spliced is sorted into a line, a common center point and an offset distance, Y is positioned at the common center point, then dynamic correction processing is carried out by using accurate speed, and superposition imaging is carried out after cutting and stretching.
And S3, carrying out consistency adjustment on the data through matched filtering processing. An initial moveout model is then obtained by target line cross-correlation.
Specifically, at the overlapping position of a plurality of three-dimensional seismic data, one bar is extracted at 5 lines every interval of uniform transverse lines to form target line data, and then the two pieces of target line data are mutually correlated.
And S4, removing abnormal values through quality control, and performing difference smoothing on the model to obtain a final floating time difference model. And finally, carrying out combination processing on the data to eliminate floating time difference. And the imaging quality of the splicing position is improved.
Note that, the time difference model in step S3 and step S4 refers to a time difference value of the splicing position.
As can be seen from fig. 7 and fig. 8, the problem of the floating time difference of the spliced position is successfully solved by using the splicing method of the three-dimensional seismic data in the specific application example, the problem of the floating time difference of the spliced position is well solved, and the same-direction axis is more continuous, so that the imaging is clear. The imaging quality of the seismic data of the region is effectively improved, and the seismic geologic interpretation expert is assisted to better know the geologic structure.
As can be seen from the foregoing description, the embodiment of the present invention provides a method for stitching three-dimensional seismic data, which includes firstly picking up stable horizons at stitching positions, then filtering superimposed data, extracting uniform target lines for cross-correlation to obtain an initial time difference model, removing outliers through quality control, performing smoothing to further eliminate outliers, finally obtaining a final time difference model, and applying the final time difference model to three-dimensional seismic data to be stitched to eliminate floating time differences.
Based on the same inventive concept, the embodiments of the present application also provide a three-dimensional seismic data stitching device, which may be used to implement the method described in the above embodiments, as described in the following embodiments. Because the principle of the three-dimensional seismic data splicing device for solving the problem is similar to that of the three-dimensional seismic data splicing method, the implementation of the three-dimensional seismic data splicing device can be realized by referring to the three-dimensional seismic data splicing method, and repeated parts are not repeated. As used below, the term "unit" or "module" may be a combination of software and/or hardware that implements the intended function. While the system described in the following embodiments is preferably implemented in software, implementation in hardware, or a combination of software and hardware, is also possible and contemplated.
The embodiment of the invention provides a specific implementation manner of a three-dimensional seismic data splicing device capable of realizing a three-dimensional seismic data splicing method, referring to fig. 9, the three-dimensional seismic data splicing device specifically comprises the following contents:
a horizon picking unit 10 for picking up stable horizons in a stitching position of a plurality of three-dimensional seismic data to be stitched;
a target line extraction unit 20 for extracting uniform target lines from the stable horizons;
and the seismic data cross-correlation unit 30 is used for cross-correlating the plurality of three-dimensional seismic data to be spliced by using the uniform target line.
In one embodiment, referring to fig. 10, the target line extraction unit 20 includes:
a time window range determining module 201, configured to determine a time window range according to the stable horizon;
a target line extraction module 202 for extracting the uniform target line according to the time window range and the stable horizon.
In one embodiment, referring to fig. 11, the seismic data cross-correlation unit 30 includes:
the filtering module 301 is configured to perform matched filtering processing on the plurality of three-dimensional seismic data to be spliced, so as to generate filtered three-dimensional seismic data;
an initial model generating unit 302, configured to perform cross-correlation on the three-dimensional seismic data using the uniform target line to generate an initial moveout model.
In one embodiment, referring to fig. 12, the apparatus for stitching three-dimensional seismic data further includes:
a final model generating unit 40, configured to perform outlier rejection and difference smoothing on the initial moveout model, so as to generate a final moveout model;
and the seismic data stitching unit 50 is configured to eliminate floating time differences of the plurality of three-dimensional seismic data to be stitched according to the time difference model, so as to stitch the plurality of three-dimensional seismic data to be stitched.
As can be seen from the above description, the embodiment of the present invention provides a three-dimensional seismic data stitching apparatus, which first picks up stable horizons in a plurality of three-dimensional seismic data stitching positions to be stitched; then, extracting a uniform target line according to the stable horizon; and finally, carrying out cross correlation on the plurality of three-dimensional seismic data to be spliced by utilizing the uniform target lines. The invention can well eliminate the floating time difference between the three-dimensional seismic data blocks, improve the imaging quality of the spliced position and provide high-quality result data for subsequent seismic geological interpretation.
The apparatus, module or unit set forth in the above embodiments may be implemented in particular by a computer chip or entity, or by a product having a certain function. A typical implementation device is an electronic device, which may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
In a typical example, the electronic device specifically includes a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor executes the program to implement the steps of the front end framework based dynamic point embedding method described above, the steps comprising:
step 100: picking up a stable horizon in a splicing position of a plurality of three-dimensional seismic data to be spliced;
step 200: extracting a uniform target line according to the stable horizon;
step 300: and carrying out cross correlation on the plurality of three-dimensional seismic data to be spliced by utilizing the uniform target lines.
Referring now to fig. 13, a schematic diagram of an electronic device 600 suitable for use in implementing embodiments of the present application is shown.
As shown in fig. 13, the electronic apparatus 600 includes a Central Processing Unit (CPU) 601, which can perform various appropriate works and processes according to a program stored in a Read Only Memory (ROM) 602 or a program loaded from a storage section 608 into a Random Access Memory (RAM)) 603. In the RAM603, various programs and data required for the operation of the system 600 are also stored. The CPU601, ROM602, and RAM603 are connected to each other through a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.
The following components are connected to the I/O interface 605: an input portion 606 including a keyboard, mouse, etc.; an output portion 607 including a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, a speaker, and the like; a storage section 608 including a hard disk and the like; and a communication section 609 including a network interface card such as a LAN card, a modem, or the like. The communication section 609 performs communication processing via a network such as the internet. The drive 610 is also connected to the I/O interface 605 as needed. Removable media 611 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on drive 610 as needed, so that a computer program read therefrom is mounted as needed as storage section 608.
In particular, according to embodiments of the present invention, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, embodiments of the present invention include a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the front-end framework based dynamic point embedding method described above.
In such an embodiment, the computer program may be downloaded and installed from a network through the communication portion 609, and/or installed from the removable medium 611.
Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.
For convenience of description, the above devices are described as being functionally divided into various units, respectively. Of course, the functions of each element may be implemented in one or more software and/or hardware elements when implemented in the present application.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The foregoing is merely exemplary of the present application and is not intended to limit the present application. Various modifications and changes may be made to the present application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc. which are within the spirit and principles of the present application are intended to be included within the scope of the claims of the present application.
Claims (4)
1. A method for stitching three-dimensional seismic data, comprising:
picking up a stable horizon in a splicing position of a plurality of three-dimensional seismic data to be spliced;
extracting uniform target lines from the overlapped area grids of the three-dimensional seismic data to be spliced according to the stable layer position;
cross-correlating the plurality of three-dimensional seismic data to be spliced by using the uniform target lines, wherein in the overlapping positions of the plurality of three-dimensional seismic data to be spliced, one bar of target line data is extracted by a preset number of uniform transverse lines at intervals, and then the two target line data are cross-correlated;
the cross-correlating the plurality of three-dimensional seismic data to be stitched using the uniform target line includes:
performing matched filtering processing on the plurality of three-dimensional seismic data to be spliced to generate filtered three-dimensional seismic data;
cross-correlating the three-dimensional seismic data with the uniform target line to generate an initial moveout model;
removing abnormal values and interpolating smoothing the initial time difference model to generate a final floating time difference model;
eliminating the floating time difference of the plurality of three-dimensional seismic data to be spliced according to the final floating time difference model so as to splice the plurality of three-dimensional seismic data to be spliced; the extracting uniform target lines according to the stable horizon includes:
determining a time window range according to the stable horizon;
and extracting the uniform target line according to the time window range and the stable horizon.
2. A three-dimensional seismic data stitching device, comprising:
the horizon picking unit is used for picking up stable horizons in the splicing positions of the plurality of three-dimensional seismic data to be spliced;
the target line extraction unit is used for extracting uniform target lines in the overlapped area grids of the three-dimensional seismic data to be spliced according to the stable layer positions;
the seismic data cross-correlation unit is used for carrying out cross-correlation on the plurality of three-dimensional seismic data to be spliced by utilizing the uniform target lines, wherein in the overlapping positions of the plurality of three-dimensional seismic data to be spliced, one bar of target line data is extracted at preset numbers at intervals of uniform transverse lines and longitudinal lines, and then the two target line data are subjected to cross-correlation;
the seismic data cross-correlation unit comprises:
the filtering module is used for carrying out matched filtering processing on the plurality of three-dimensional seismic data to be spliced so as to generate filtered three-dimensional seismic data;
an initial model generation unit for cross-correlating the three-dimensional seismic data using the uniform target lines to generate an initial moveout model;
the final model generating unit is used for removing abnormal values and interpolating smoothing the initial time difference model so as to generate a final floating time difference model;
the seismic data splicing unit is used for eliminating the floating time difference of the plurality of three-dimensional seismic data to be spliced according to the final floating time difference model so as to splice the plurality of three-dimensional seismic data to be spliced; the target line extraction unit includes:
the time window range determining module is used for determining a time window range according to the stable horizon;
and the target line extraction module is used for extracting the uniform target line according to the time window range and the stable horizon.
3. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor performs the steps of the method of stitching three-dimensional seismic data as claimed in claim 1 when the program is executed.
4. A computer readable storage medium having stored thereon a computer program, characterized in that the computer program when executed by a processor realizes the steps of the stitching method of three-dimensional seismic data according to claim 1.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN202010755839.1A CN114063165B (en) | 2020-07-31 | 2020-07-31 | Three-dimensional seismic data splicing method and device |
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