CN114063165A - Three-dimensional seismic data splicing method and device - Google Patents
Three-dimensional seismic data splicing method and device Download PDFInfo
- Publication number
- CN114063165A CN114063165A CN202010755839.1A CN202010755839A CN114063165A CN 114063165 A CN114063165 A CN 114063165A CN 202010755839 A CN202010755839 A CN 202010755839A CN 114063165 A CN114063165 A CN 114063165A
- Authority
- CN
- China
- Prior art keywords
- seismic data
- dimensional seismic
- spliced
- target line
- time difference
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 53
- 238000007667 floating Methods 0.000 claims abstract description 26
- 238000012545 processing Methods 0.000 claims description 28
- 238000003860 storage Methods 0.000 claims description 17
- 238000004590 computer program Methods 0.000 claims description 16
- 238000001914 filtration Methods 0.000 claims description 11
- 230000002159 abnormal effect Effects 0.000 claims description 10
- 238000009499 grossing Methods 0.000 claims description 9
- 238000000605 extraction Methods 0.000 claims description 8
- 230000000087 stabilizing effect Effects 0.000 claims 1
- 238000003384 imaging method Methods 0.000 abstract description 12
- 238000010586 diagram Methods 0.000 description 9
- 230000006870 function Effects 0.000 description 6
- 230000008569 process Effects 0.000 description 6
- 238000004891 communication Methods 0.000 description 4
- 238000012937 correction Methods 0.000 description 4
- 230000003287 optical effect Effects 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 3
- 239000003550 marker Substances 0.000 description 3
- 238000003908 quality control method Methods 0.000 description 3
- 230000008859 change Effects 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- PEDCQBHIVMGVHV-UHFFFAOYSA-N Glycerine Chemical compound OCC(O)CO PEDCQBHIVMGVHV-UHFFFAOYSA-N 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000001413 cellular effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000005520 cutting process Methods 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 230000008030 elimination Effects 0.000 description 1
- 238000003379 elimination reaction Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 230000005012 migration Effects 0.000 description 1
- 238000013508 migration Methods 0.000 description 1
- 239000011435 rock Substances 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
- G01V1/28—Processing seismic data, e.g. for interpretation or for event detection
- G01V1/36—Effecting static or dynamic corrections on records, e.g. correcting spread; Correlating seismic signals; Eliminating effects of unwanted energy
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
- G01V1/28—Processing seismic data, e.g. for interpretation or for event detection
- G01V1/282—Application of seismic models, synthetic seismograms
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V2210/00—Details of seismic processing or analysis
- G01V2210/70—Other details related to processing
- G01V2210/74—Visualisation of seismic data
Landscapes
- Engineering & Computer Science (AREA)
- Remote Sensing (AREA)
- Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Acoustics & Sound (AREA)
- Environmental & Geological Engineering (AREA)
- Geology (AREA)
- General Life Sciences & Earth Sciences (AREA)
- General Physics & Mathematics (AREA)
- Geophysics (AREA)
- Geophysics And Detection Of Objects (AREA)
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 stable horizons from splicing positions of a plurality of three-dimensional seismic data to be spliced; extracting uniform target lines according to the stable layer positions; and performing cross correlation on the three-dimensional seismic data to be spliced by using the uniform target line. The method and the device for splicing the three-dimensional seismic data can eliminate the floating time difference among a plurality of blocks, improve the imaging quality of a splicing position and provide high-quality result data for subsequent seismic geological interpretation.
Description
Technical Field
The invention relates to the field of oil exploration, in particular to a seismic data processing technology, and specifically 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 work area historical seismic data has current seismic data to mismatch, often there is the floating time difference phenomenon when needing to splice, namely in conventional processing or polylith achievement data splicing processing procedure, in polylith data collection or polylith achievement data overlap area, because factors such as acquisition time, acquisition mode, earth's surface change and processing difference, because acquisition or relevant information lack to lead to the unable correction of conventional processing means, two lead to the non-fixed time difference that exists. The floating time difference is a phenomenon commonly existing in the splicing processing of a plurality of pieces of seismic data, and the imaging quality of the splicing position is seriously influenced, so that the splicing processing of the floating time difference is always a difficult problem in the seismic data processing.
Disclosure of Invention
Aiming at the problems in the prior art, the method and the device for splicing the three-dimensional seismic data can well eliminate the floating time difference among a plurality of blocks, improve the imaging quality of a spliced 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 stable horizons from splicing positions of a plurality of three-dimensional seismic data to be spliced;
extracting uniform target lines according to the stable layer positions;
and performing cross correlation on the three-dimensional seismic data to be spliced by using the uniform target line.
In one embodiment, the extracting a uniform target line 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.
In one embodiment, the cross-correlating the plurality of three-dimensional seismic data to be spliced with 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;
and performing cross-correlation on the three-dimensional seismic data by using the uniform target line to generate an initial time difference model.
In one embodiment, the method for stitching three-dimensional seismic data further comprises:
removing abnormal values and carrying out difference value smoothing processing on the initial time difference model to generate a final time difference model;
and eliminating the floating time difference of the three-dimensional seismic data to be spliced according to the time difference model so as to splice the three-dimensional seismic data to be spliced.
In a second aspect, the present invention provides an apparatus for stitching three-dimensional seismic data, the apparatus comprising:
the horizon picking unit is used for picking a stable horizon from splicing positions of a plurality of three-dimensional seismic data to be spliced;
the target line extraction unit is used for extracting uniform target lines according to the stable horizon;
and the seismic data cross-correlation unit is used for cross-correlating the 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 layer;
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 performing 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 generation unit is used for performing cross correlation on the three-dimensional seismic data by using the uniform target line to generate an initial time difference model.
In one embodiment, the apparatus for stitching three-dimensional seismic data further comprises:
a final model generation unit, configured to remove an abnormal value and perform difference smoothing on the initial time difference model 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, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method for stitching three-dimensional seismic data when executing the computer program.
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, where a stable horizon is first picked up at a stitching location of a plurality of three-dimensional seismic data to be stitched; then, extracting uniform target lines according to the stable position; and finally, performing cross correlation on the three-dimensional seismic data to be spliced by using the uniform target line. The method can well eliminate the floating time difference between the three-dimensional seismic data blocks, improve the imaging quality of the splicing 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 used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a first schematic flow chart of a method for stitching three-dimensional seismic data according to an embodiment of the present invention;
FIG. 2 is a flow chart illustrating step 200 according to an embodiment of the present invention;
FIG. 3 is a flow chart illustrating step 300 according to an embodiment of the present invention;
FIG. 4 is a second flowchart illustrating a method for stitching three-dimensional seismic data according to an embodiment of the present invention;
FIG. 5 is a schematic flow chart of a method for stitching three-dimensional seismic data according to an embodiment of the present invention;
FIG. 6 is a diagram of a method for stitching three-dimensional seismic data according to an embodiment of the present invention;
FIG. 7 is a cross-section of a sea-moon buried hill seismic data stack before adjustment of the floating moveout in an embodiment of the present invention;
FIG. 8 is a cross-section of the marine moon buried hill seismic data after adjusting the floating moveout in the embodiment of the present invention;
FIG. 9 is a first schematic structural diagram of an apparatus for stitching three-dimensional seismic data according to an embodiment of the invention;
FIG. 10 is a schematic structural diagram of a target line extracting unit according to an embodiment of the present invention;
FIG. 11 is a schematic structural diagram of a seismic data cross-correlation unit in an embodiment of the invention;
FIG. 12 is a second schematic structural diagram of an apparatus for stitching three-dimensional seismic data according to an embodiment of the invention;
fig. 13 is a schematic structural diagram of an electronic device in an embodiment of the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As will be appreciated by one skilled in the art, 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 this application and the above-described drawings, 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, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
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 stable horizons in splicing positions of a plurality of three-dimensional seismic data to be spliced.
It should be noted that the stable horizon herein does not mean a horizon in which the whole work area is stably developed (i.e. a marker layer, a layer or a group of rock layers with obvious characteristics which can be used as a stratigraphic comparison marker, the marker layer should have the characteristics of obvious characteristics of contained fossil and lithology, stable horizon, wide distribution range and easy identification), but only one stable horizon needs to be found at the splicing position, and the stable horizon is developed in a plurality of three-dimensional seismic data volumes to be spliced.
Step 200: and extracting uniform target lines according to the stable position.
It is to be understood that the uniform target line in step 200 refers to a uniform target line extracted from the grid of overlapping regions of the three-dimensional seismic data to be stitched.
Step 300: and performing cross correlation on the three-dimensional seismic data to be spliced by using the uniform target line.
Specifically, in the three-dimensional seismic data superposition position to be spliced, one piece of target line data is extracted at a preset number (preferably 5) of uniform transverse and longitudinal lines at intervals, and then the two pieces of target line data are subjected to cross correlation.
It is to be understood that the cross-correlation here is indicative of the degree of correlation between two time series, i.e. the degree of correlation between the values describing the signals x (t), y (t) at any two different times t1, t 2. When describing the correlation between two different signals, the two signals may be random signals or known 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 a stable horizon from stitching positions of a plurality of three-dimensional seismic data to be stitched; then, extracting uniform target lines according to the stable position; and finally, performing cross correlation on the three-dimensional seismic data to be spliced by using the uniform target line. The method can well eliminate the floating time difference between the three-dimensional seismic data blocks, improve the imaging quality of the splicing 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 a common-center-point domain for dynamic correction and stacking at the splicing position, a stable layer is selected, the time window range is controlled according to the layer, and a 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: and performing cross-correlation on the three-dimensional seismic data by using the uniform target line to generate an initial time difference model.
In steps 301 and 302, the three-dimensional seismic data is adjusted in conformity by the matched filtering process. And then obtaining an initial time difference model through target line cross-correlation.
In one embodiment, referring to fig. 4, the method for stitching three-dimensional seismic data further comprises:
step 400: removing abnormal values and carrying out difference value smoothing processing on the initial time difference model to generate a final time difference model;
step 500: and eliminating the floating time difference of the three-dimensional seismic data to be spliced according to the time difference model so as to splice the three-dimensional seismic data to be spliced.
On the basis of the step 302, an abnormal value is removed through quality control, and the difference value smoothing processing is performed on the initial time difference model to obtain a final floating time difference model. And finally, carrying out combined processing on the data to eliminate the floating time difference. And the imaging quality of the splicing position is improved.
As can be seen from the above description, the method for splicing three-dimensional seismic data provided by the embodiments of the present invention includes selecting a stable interval at a data splicing position, obtaining a floating time difference model through a series of technical means such as cross correlation, and applying the floating time difference model to eliminate the floating time difference between blocks, improving the imaging quality at the splicing position, and providing high-quality result data for subsequent seismic geological interpretation.
To further illustrate the present solution, the present invention provides a specific application example of the three-dimensional seismic data stitching method by taking the marine-moon-submerged mountain seismic data continuous prestack depth migration processing as an example, and the specific application example specifically includes the following contents, see fig. 5 and fig. 6.
And S1, inspecting the construction characteristics of the work area data, investigating the actual condition of the splicing position, and analyzing whether the method is suitable.
Specifically, whether stable stratum exists in the three-dimensional seismic data to be spliced or not is examined.
And S2, sorting the seismic data at the splicing position to a common center point domain for dynamic correction and stacking, selecting a stable layer, controlling the time window range according to the layer, and extracting a uniform target line according to the data condition.
Specifically, conventional stacking processing is carried out on three-dimensional seismic data to be spliced, the three-dimensional seismic data to be spliced are sorted into lines, common center points and offset distances, Y positions are arranged at the common center points, dynamic correction processing is carried out by using accurate speed, and stacking imaging is carried out after cutting and stretching.
And S3, performing consistency adjustment on the data through matched filtering processing. And then obtaining an initial time difference model through target line cross-correlation.
Specifically, at the superposition position of a plurality of pieces of three-dimensional seismic data, one piece of target line data is extracted by uniform transverse and longitudinal lines at intervals of 5 lines, and then the two pieces of target line data are subjected to cross correlation.
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 combined processing on the data to eliminate the floating time difference. And the imaging quality of the splicing position is improved.
The time difference models in step S3 and step S4 are time difference values of the splice positions.
As can be seen from fig. 7 and 8, the floating time difference problem at the splicing position is successfully solved by using the method for splicing three-dimensional seismic data in the specific application example, the floating time difference problem at the splicing position is well solved, the coaxial axis is more continuous, and the imaging is clear. The imaging quality of the seismic data in the area is effectively improved, and the seismic geology explanation expert is assisted to better know the geological structure.
As can be seen from the above description, the embodiments of the present invention provide a method for stitching three-dimensional seismic data, where a stable horizon is first picked up at a stitching location, then stacked data is filtered, then uniform target lines are extracted for cross-correlation to obtain an initial moveout model, abnormal values are removed through quality control, abnormal points are further eliminated through smoothing, and finally a final moveout model is obtained and applied to three-dimensional seismic data to be stitched to eliminate floating moveout.
Based on the same inventive concept, the embodiment of the present application further provides a splicing apparatus for three-dimensional seismic data, which can be used to implement the method described in the above embodiment, as described in the following embodiments. The problem solving principle of the splicing device for the three-dimensional seismic data is similar to that of the splicing method for the three-dimensional seismic data, so the implementation of the splicing device for the three-dimensional seismic data can be realized by the implementation of the splicing method for the three-dimensional seismic data, and repeated parts are not repeated. As used hereinafter, the term "unit" or "module" may be a combination of software and/or hardware that implements a predetermined function. While the system described in the embodiments below is preferably implemented in software, implementations in hardware, or a combination of software and hardware are also possible and contemplated.
The embodiment of the present invention provides a specific implementation manner of a three-dimensional seismic data splicing device capable of implementing a three-dimensional seismic data splicing method, and referring to fig. 9, the three-dimensional seismic data splicing device specifically includes the following contents:
a horizon picking unit 10 for picking up a stable horizon in a stitching position of a plurality of three-dimensional seismic data to be stitched;
a target line extraction unit 20, configured to extract a uniform target line according to the stable horizon;
and the seismic data cross-correlation unit 30 is configured to perform cross-correlation on 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 extracting unit 20 includes:
a time window range determining module 201, configured to determine a time window range according to the stable horizon;
and a target line extraction module 202, configured to extract 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 comprises:
the filtering module 301 is configured to perform matched filtering processing on the multiple three-dimensional seismic data to be spliced to generate filtered three-dimensional seismic data;
an initial model generating unit 302, configured to perform cross-correlation on the three-dimensional seismic data by 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 comprises:
a final model generation unit 40, configured to perform elimination of an abnormal value and difference smoothing on the initial time difference model to generate a final time difference model;
and the seismic data splicing unit 50 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.
As can be seen from the above description, in the apparatus for splicing three-dimensional seismic data provided in the embodiments of the present invention, first, a stable layer is picked up at a splicing position of a plurality of three-dimensional seismic data to be spliced; then, extracting uniform target lines according to the stable position; and finally, performing cross correlation on the three-dimensional seismic data to be spliced by using the uniform target line. The method can well eliminate the floating time difference between the three-dimensional seismic data blocks, improve the imaging quality of the splicing position and provide high-quality result data for subsequent seismic geological interpretation.
The apparatuses, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or implemented by a product with certain functions. 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, and when the processor executes the computer program, the method implements the steps of the front-end framework-based dynamic pointing method, including:
step 100: picking up stable horizons from splicing positions of a plurality of three-dimensional seismic data to be spliced;
step 200: extracting uniform target lines according to the stable layer positions;
step 300: and performing cross correlation on the three-dimensional seismic data to be spliced by using the uniform target line.
Referring now to FIG. 13, shown is a schematic diagram of an electronic device 600 suitable for use in implementing embodiments of the present application.
As shown in fig. 13, the electronic apparatus 600 includes a Central Processing Unit (CPU)601 that 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 necessary for the operation of the system 600 are also stored. The CPU601, ROM602, and RAM603 are connected to each other via 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, a mouse, and the like; an output portion 607 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; 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 driver 610 is also connected to the I/O interface 605 as needed. A removable medium 611 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 610 as necessary, so that a computer program read out therefrom is mounted as necessary on the storage section 608.
In particular, according to an embodiment of the present invention, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, an embodiment of the present invention includes a computer-readable storage medium having a computer program stored thereon, which when executed by a processor implements the front-end framework-based dynamic point-burying method described above.
In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 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 computer storage media 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 that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
For convenience of description, the above devices are described as being divided into various units by function, and are described separately. Of course, the functionality of the units may be implemented in one or more software and/or hardware when implementing 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.
As will be appreciated by one skilled in the art, 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 above description is only an example of the present application and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. A method for stitching three-dimensional seismic data, comprising:
picking up stable horizons from splicing positions of a plurality of three-dimensional seismic data to be spliced;
extracting uniform target lines according to the stable layer positions;
and performing cross correlation on the three-dimensional seismic data to be spliced by using the uniform target line.
2. The method for stitching three-dimensional seismic data according to claim 1, wherein the extracting a uniform target line from the stabilizing horizons 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.
3. The method for stitching three-dimensional seismic data according to claim 1, wherein the cross-correlating the plurality of three-dimensional seismic data to be stitched with the uniform target line comprises:
performing matched filtering processing on the plurality of three-dimensional seismic data to be spliced to generate filtered three-dimensional seismic data;
and performing cross-correlation on the three-dimensional seismic data by using the uniform target line to generate an initial time difference model.
4. The method of stitching three-dimensional seismic data as recited in claim 3, further comprising:
removing abnormal values and carrying out difference value smoothing processing on the initial time difference model to generate a final time difference model;
and eliminating the floating time difference of the three-dimensional seismic data to be spliced according to the time difference model so as to splice the three-dimensional seismic data to be spliced.
5. A three-dimensional seismic data stitching apparatus, comprising:
the horizon picking unit is used for picking a stable horizon from splicing positions of a plurality of three-dimensional seismic data to be spliced;
the target line extraction unit is used for extracting uniform target lines according to the stable horizon;
and the seismic data cross-correlation unit is used for cross-correlating the three-dimensional seismic data to be spliced by utilizing the uniform target line.
6. The apparatus for stitching three-dimensional seismic data according to claim 5, wherein the target line extraction unit includes:
the time window range determining module is used for determining a time window range according to the stable layer;
and the target line extraction module is used for extracting the uniform target line according to the time window range and the stable horizon.
7. The apparatus for stitching three-dimensional seismic data according to claim 5, wherein the seismic data cross-correlation unit comprises:
the filtering module is used for performing 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 generation unit is used for performing cross correlation on the three-dimensional seismic data by using the uniform target line to generate an initial time difference model.
8. The apparatus for stitching three-dimensional seismic data according to claim 7, further comprising:
a final model generation unit, configured to remove an abnormal value and perform difference smoothing on the initial time difference model 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.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program performs the steps of the method of stitching three-dimensional seismic data according to any one of claims 1 to 4.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method for stitching three-dimensional seismic data according to any one of claims 1 to 4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010755839.1A CN114063165B (en) | 2020-07-31 | 2020-07-31 | Three-dimensional seismic data splicing method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010755839.1A CN114063165B (en) | 2020-07-31 | 2020-07-31 | Three-dimensional seismic data splicing method and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114063165A true CN114063165A (en) | 2022-02-18 |
| CN114063165B CN114063165B (en) | 2024-01-30 |
Family
ID=80227367
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010755839.1A Active CN114063165B (en) | 2020-07-31 | 2020-07-31 | Three-dimensional seismic data splicing method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114063165B (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104570116A (en) * | 2013-10-29 | 2015-04-29 | 中国石油化工股份有限公司 | Geological marker bed-based time difference analyzing and correcting method |
| CN105629296A (en) * | 2014-10-29 | 2016-06-01 | 中国石油天然气股份有限公司 | Three-dimensional earthquake post-stack data volume splicing method and three-dimensional earthquake post-stack data volume splicing device |
| CN106291707A (en) * | 2015-06-01 | 2017-01-04 | 中国石油化工股份有限公司 | Three dimensional seismic data polylith splicing TEC time error correction method and apparatus |
| CN110376644A (en) * | 2019-08-16 | 2019-10-25 | 中国矿业大学(北京) | Earthquake data before superposition joining method and device |
| CN110462446A (en) * | 2017-01-27 | 2019-11-15 | 沙特阿拉伯石油公司 | It is corrected using antenna pattern and re-scales virtual source |
-
2020
- 2020-07-31 CN CN202010755839.1A patent/CN114063165B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104570116A (en) * | 2013-10-29 | 2015-04-29 | 中国石油化工股份有限公司 | Geological marker bed-based time difference analyzing and correcting method |
| CN105629296A (en) * | 2014-10-29 | 2016-06-01 | 中国石油天然气股份有限公司 | Three-dimensional earthquake post-stack data volume splicing method and three-dimensional earthquake post-stack data volume splicing device |
| CN106291707A (en) * | 2015-06-01 | 2017-01-04 | 中国石油化工股份有限公司 | Three dimensional seismic data polylith splicing TEC time error correction method and apparatus |
| CN110462446A (en) * | 2017-01-27 | 2019-11-15 | 沙特阿拉伯石油公司 | It is corrected using antenna pattern and re-scales virtual source |
| CN110376644A (en) * | 2019-08-16 | 2019-10-25 | 中国矿业大学(北京) | Earthquake data before superposition joining method and device |
Non-Patent Citations (3)
| Title |
|---|
| 张亚兵: "煤矿采区三维地震资料联片解释", 《中国优秀硕士学位论文全文数据库 基础科学辑》, no. 2, pages 5 - 17 * |
| 张仲祜 等: "地震资料三维联片拼接处理技术", 《新疆石油天然气》, vol. 1, no. 3, pages 38 - 43 * |
| 李继光 等: "互相关时差分析技术及其应用—以胜利油田三维地震资料连片处理为例", 《石油物探》, vol. 49, no. 1, pages 24 - 25 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114063165B (en) | 2024-01-30 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108828668B (en) | Pre-stack time migration data processing method and device | |
| CN106896406A (en) | The method and apparatus that High-quality Reservoir is predicted based on impedance Domain Properties | |
| CN106772593B (en) | The imaging method and device of diffracted wave | |
| CN110879412A (en) | Underground transverse wave velocity inversion method, device, computing equipment and storage medium | |
| CN103210323A (en) | System and method for processing seismic data | |
| CN111781635B (en) | Seabed four-component elastic wave Gaussian beam depth migration method and device | |
| CN109471162A (en) | Interbed multiple processing method, system, electronic equipment and readable medium | |
| CN114063165A (en) | Three-dimensional seismic data splicing method and device | |
| CN107831541B (en) | Thin strate recognition methods and device based on high density VSP data | |
| CN113900141B (en) | Oil-gas distribution prediction method and device | |
| Zhang et al. | Automatic first-arrival picking workflow by global path tracing | |
| CN112083490B (en) | Seismic data noise attenuation method and device | |
| CN109471173B (en) | Residual static correction method and device | |
| CN106772596A (en) | A kind of method and device for determining pre-stack time migration velocity field | |
| CN114002741B (en) | Pre-stack depth migration method and device and computer readable storage medium | |
| CN112835095B (en) | Low-amplitude construction mapping method and device for seismic data | |
| CN111781661A (en) | Method and device for predicting sedimentary microphase plane spread in small-well area | |
| CN110133717A (en) | Determine the method and apparatus of regional earthquake wave phase | |
| CN111435172A (en) | Method and device for chromatographic static correction | |
| CN112596112B (en) | Method and device for identifying object source and sand body migration direction of lake basin | |
| CN117970444A (en) | Surface consistency amplitude compensation method and device, electronic equipment and medium | |
| CN113960656B (en) | Method and device for identifying morphological characteristics of seismic data target | |
| Ha et al. | The value of constrained conjugate-gradient least-squares migration in seismic inversion: Application to a fractured-basement play, Texas Panhandle | |
| CN113267810B (en) | Seismic exploration full-depth velocity modeling method and device | |
| CN114609672A (en) | Pre-stack gather interpretive processing method, system, device and readable storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |