CN106338770A - Shot detection point data mutual checking method and system - Google Patents
Shot detection point data mutual checking method and system Download PDFInfo
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- CN106338770A CN106338770A CN201510405726.8A CN201510405726A CN106338770A CN 106338770 A CN106338770 A CN 106338770A CN 201510405726 A CN201510405726 A CN 201510405726A CN 106338770 A CN106338770 A CN 106338770A
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Abstract
The invention provides a shot detection point data mutual checking method and system. The method comprises the steps that a the shot point coordinate, the shot point elevation data, the detection point coordinate and the detection point elevation data are received; b according to the shot point coordinate and the shot point elevation data, a shot point near-surface elevation model is established to acquire shot point near-surface elevation data, and according to the detection point coordinate and the detection point elevation data, a detection point near-surface elevation model is established to acquire detection point near-surface elevation data; and c the shot point near-surface elevation data are compared with the detection point near-surface elevation data, and processing is carried out according to a comparison result. According to the technology provided by the invention, the labor cost can be greatly reduced; the work efficiency and effectiveness are improved; the whole process is programming and processized; the work efficiency can be greatly improved to lay a solid foundation for follow-up processing and correct data inputting.
Description
Technical field
The present invention relates to technical field of physical geography, examine the mutual checking method of data more particularly, to a kind of big gun
And system.
Background technology
With regard to the collection of 3D seismic data and for processing it is ensured that big gun examine position and altitude data be accurately
Vital.Input original earthquake data and the accuracy of near surface data, are monolithic three dimensional seismic datas
Basic demand with polylith three dimensional seismic data block-tie processing.But because the cautious position of big gun and altitude data are thousands of
Up to ten thousand, data volume is especially huge, various years the datum mark of gathered data be possible to difference, field acquisition number
There may be more or less mistake according to during typing or arrangement.The change of these datum marks or the presence of mistake,
Big gun is examined with the calculating of static correction value and follow-up seism processing all can produce serious influence.In order to carry
High workload efficiency, reduces and avoids unnecessary repeated work, more in order to ensure to input the accurate of initial data
Property and the quality of seism processing achievement, we must carry out the strict quality control of science, dimensionally
Before seismic data processing, first have to resolve the cautious position of big gun and altitude data mistake is brought not to processing achievement
Profit impact.The method in the past solving problems is mainly: by artificial nucleus to verification.
Content of the invention
Low for prior art work efficiency, mistake present in data is difficult to disposably make a thorough investigation, sometimes
Pinpoint the problems in subsequent treatment also need to turn around again repeatedly to carry out to check, the problem of relative analyses, this public affairs
Open propose a kind of mitigate labor workload, improve work efficiency further, science, rapidly realize big gun inspection
Point data is mutually looked into and is accurately pinpointed the problems and revise the accuracy it is ensured that input data, improves and improve three-dimensional
The big gun of the quality of seism processing achievement and effect examines the mutual checking method of data and system.
Can be applicable to accuracy testing and the correction of any 3-d seismic exploration original near surface data, simultaneously
Can be applicable to the polylith 3D seismic data near surface number with overlapping region of completed different times collection
According to accuracy testing and correction, in other words, the original input data inspection of three dimensional seismic data block-tie processing
With correction.
One side according to the disclosure, it is proposed that the mutual checking method of data examined by a kind of big gun, comprises the following steps:
Step a: receive shot point coordinate, shot point altitude data, detection point coordinates and geophone station altitude data；
Step b: shot point near surface elevation model is set up according to shot point coordinate and shot point altitude data, obtains shot point
Near surface altitude data；Geophone station near surface elevation mould is set up according to detection point coordinates and geophone station altitude data
Type, obtains geophone station near surface altitude data；
Step c: shot point near surface altitude data is contrasted with geophone station near surface altitude data, according to right
Processed than result.
On the basis of technique scheme, the present invention can also do following improvement.
Further, the process obtaining shot point near surface altitude data in described step b includes:
Shot point near surface elevation model is set up according to shot point coordinate and shot point altitude data；
Gridding is carried out to shot point near surface elevation model according to default grid, obtains on each mesh point
Shot point near surface height value；
Resampling is carried out to shot point near surface height value, obtains shot point near surface altitude data.
Further, the process obtaining geophone station near surface altitude data in described step b includes:
Geophone station near surface elevation model is set up according to detection point coordinates and geophone station altitude data；
Gridding is carried out to geophone station near surface elevation model according to default grid, obtains on each mesh point
Geophone station near surface height value；
Resampling is carried out to geophone station near surface height value, obtains geophone station near surface altitude data.
Further, described shot point near surface height value carried out with resampling and geophone station near surface height value is entered
Row resampling is all to carry out resampling according to the coordinate of qualifying point.
Further, described shot point near surface altitude data is the shot point near surface height of qualifying point position
Number of passes evidence；Described geophone station near surface altitude data is that the geophone station near surface of qualifying point position is high
Number of passes evidence.
Further, described step c includes:
Contrast shot point near surface altitude data and the geophone station near surface elevation of same qualifying point position
Data；
Difference as shot point near surface altitude data and geophone station near surface altitude data is less than given threshold, then
Shot point coordinate, shot point altitude data, detection point coordinates and geophone station altitude data are correct；Otherwise, send announcement
Alarming information, points out error in data.
According to another aspect of the present disclosure it is proposed that a kind of big gun examine data mutually look into system, including receiver module,
MBM and contrast processing module；
Described receiver module is used for receiving shot point coordinate, shot point altitude data, detection point coordinates and geophone station height
Number of passes evidence；
Described MBM is used for setting up shot point near surface elevation mould according to shot point coordinate and shot point altitude data
Type, obtains shot point near surface altitude data；Geophone station is set up according to detection point coordinates and geophone station altitude data
Near surface elevation model, obtains geophone station near surface altitude data；
Described contrast processing module is used for entering shot point near surface altitude data with geophone station near surface altitude data
Row contrast, is processed according to comparing result.
On the basis of technique scheme, the present invention can also do following improvement.
Further, the process obtaining shot point near surface altitude data in described MBM includes:
Shot point near surface elevation model is set up according to shot point coordinate and shot point altitude data；
Gridding is carried out to shot point near surface elevation model according to default grid, obtains on each mesh point
Shot point near surface height value；
Resampling is carried out to shot point near surface height value, obtains shot point near surface altitude data；
The process obtaining geophone station near surface altitude data in described MBM includes:
Geophone station near surface elevation model is set up according to detection point coordinates and geophone station altitude data；
Gridding is carried out to geophone station near surface elevation model according to default grid, obtains on each mesh point
Geophone station near surface height value；
Resampling is carried out to geophone station near surface height value, obtains geophone station near surface altitude data.
Further, described according to the coordinate of qualifying point, resampling is carried out to shot point near surface height value；Weight
The shot point near surface altitude data that sampling obtains is the high number of passes of shot point near surface of qualifying point position
According to；
Described according to the coordinate of qualifying point, resampling is carried out to geophone station near surface height value；Resampling obtains
The geophone station near surface altitude data obtaining is the geophone station near surface altitude data of qualifying point position.
Further, described contrast processing module is to shot point near surface altitude data and the high number of passes of geophone station near surface
According to process include:
Contrast shot point near surface altitude data and the geophone station near surface elevation of same qualifying point position
Data；
Difference as shot point near surface altitude data and geophone station near surface altitude data is less than given threshold, then
Shot point coordinate, shot point altitude data, detection point coordinates and geophone station altitude data are correct；Otherwise, send announcement
Alarming information, points out error in data.
This big gun examines the mutual checking method of data and system, is complete sequencing based on modelling, procedure, tool
Have the advantages that science is objective, quick and precisely pinpoint the problems and solve problem, can guarantee that doubtful problem is disposable and obtain
To making a thorough investigation.For subsequent treatment, ensure that input data correctly establishes solid foundation.As: follow-up dimensionally
Seismic data processing (including polylith three dimensional seismic data block-tie processing) has established solid foundation；Therefore, originally
Method and system has in terms of D seismic data processing, the block-tie processing of polylith three dimensional seismic data very well
Application prospect.This technology is applied can greatly to reduce cost of labor, improve work efficiency and effect.
Model law technology: the feature according to 3-d seismic exploration construction and the specific requirement of observation system design,
In same 3-D seismics work area, shot point and geophone station arrangement spatially all have very high density, Wo Menwu
Still place three can be portrayed by modelling high accuracy description using detection point data by using shot point data
The fine change of dimension earthquake work area near surface elevation.In consideration of it, we can be with the near-earth of shot point data foundation
Table elevation model checks whether geophone station altitude data is wrong；In turn, we can also be counted with detection
Check whether shot point altitude data is wrong according to the near surface elevation model set up.Certainly, we can also be
Three-dimensional work area arranges substantial amounts of qualifying point, and by different models, resampling obtains these qualifying points respectively
Altitude data, be then analyzed, search mistake and is simultaneously revised.Such thinking and flow process,
Fit entirely into the mutual inspection of polylith three-dimensional data overlapping region near surface altitude data.
Brief description
By combining accompanying drawing, disclosure illustrative embodiments are described in more detail, the disclosure above-mentioned
And other purpose, feature and advantage will be apparent from, wherein, in disclosure illustrative embodiments
In, identical reference number typically represents same parts.
Fig. 1 shows that data mutual checking method flow chart examined by a kind of big gun according to an embodiment of the invention.
Fig. 2 shows that a kind of big gun according to an embodiment of the invention is examined data and mutually looked into system architecture diagram.
Fig. 3 shows that data mutual checking method FB(flow block) examined by a kind of big gun of an example according to the present invention.
Fig. 4 shows the three-dimensional work area in the Tarim Basin big gun inspection location drawing.
Fig. 5 shows that big gun is examined data and mutually looked into example schematic.
Fig. 6 shows Tarim Basin three-dimensional work area schematic diagram in flakes.
Fig. 7 shows Tarim Basin three-dimensional splicing area elevation isogram (height anomaly) in flakes.
Fig. 8 shows Tarim Basin three-dimensional splicing area elevation isogram (after correction) in flakes.
Specific embodiment
It is more fully described the preferred implementation of the disclosure below with reference to accompanying drawings.Although showing in accompanying drawing
The preferred implementation of the disclosure, however, it is to be appreciated that may be realized in various forms the disclosure and should be by
Embodiments set forth herein is limited.On the contrary, these embodiments are provided so that the disclosure is more saturating
Thorough and complete, and the scope of the present disclosure intactly can be conveyed to those skilled in the art.
Embodiment 1
Fig. 1 shows that data mutual checking method flow chart examined by a kind of big gun according to an embodiment of the invention,
The method comprises the following steps:
Step a: receive shot point coordinate, shot point altitude data, detection point coordinates and geophone station altitude data；
Step b: shot point near surface elevation model is set up according to shot point coordinate and shot point altitude data, obtains shot point
Near surface altitude data；Geophone station near surface elevation mould is set up according to detection point coordinates and geophone station altitude data
Type, obtains geophone station near surface altitude data；
Step c: shot point near surface altitude data is contrasted with geophone station near surface altitude data, according to right
Processed than result.
The present embodiment, by setting up model, obtains shot point near surface altitude data and the high number of passes of geophone station near surface
According to being analyzed, search mistake and revise it is achieved that science is objective, reconciliation of quick and precisely pinpointing the problems
Certainly the advantage of problem, can guarantee that doubtful problem is disposably made a thorough investigation.Whole process has realized sequencing, stream
Cheng Hua, can greatly improve work efficiency, be subsequent treatment, ensure that input data correctly establishes solid base
Plinth.
Fig. 2 shows that a kind of big gun according to an embodiment of the invention is examined data and mutually looked into system architecture diagram,
Including receiver module 1, MBM 2 and contrast processing module 3；
Described receiver module 1 is used for receiving shot point coordinate, shot point altitude data, detection point coordinates and geophone station
Altitude data；
Described MBM 2 is used for setting up shot point near surface elevation mould according to shot point coordinate and shot point altitude data
Type, obtains shot point near surface altitude data；Geophone station is set up according to detection point coordinates and geophone station altitude data
Near surface elevation model, obtains geophone station near surface altitude data；
Described contrast processing module 3 is used for shot point near surface altitude data and geophone station near surface altitude data
Contrasted, processed according to comparing result.
In one example, technology realizes flow process such as Fig. 3, and step is as follows:
A. data input: input shot point coordinate and altitude data and detection point coordinates and altitude data respectively；
B. model and resampling are set up: the near surface elevation model setting up three-dimensional work area (includes being built by shot point data
Vertical near surface elevation model and the near surface elevation model set up by detection point data), press 25 meters of x25 respectively
The grid of rice carries out gridding to above-mentioned two elevation model, obtains the near surface height value on each mesh point,
Then according to the coordinate of qualifying point carries out resampling to two models respectively, obtain qualifying point and be located
The near surface altitude data of position；
C. two near surface altitude datas of qualifying point position are analyzed, search and revise
Mistake: first qualifying point is obtained by the model resampling that input shot point coordinate and altitude data are set up and be located
The near surface altitude data of position, is obtained by the model resampling that input detection point coordinates and altitude data are set up
The near surface altitude data of qualifying point position；Then the near surface to qualifying point position
Altitude data is analyzed, and searches mistake and revises.
Modelling resampling elevation and actual vertical error when table 1 elevation is correct
Modelling resampling elevation and actual vertical error during table 2 elevation mistake
(note: nsm_rec is elevation after modelling geophone station resampling, actual with geophone station as shown in table 1
Vertical error is close to 0), to the high number of passes being obtained control point position by the model resampling of shot point data genaration
According to, then contrast with the geophone station altitude data of field measurement, if both error very littles, basically identical, just
Explanation has no problem；As shown in table 2 (note: nsm_shot is the elevation after modelling shot point resampling, with
Actual vertical error is erroneous point close to 60 meters of point), both errors are larger, then explanation data record is wrong.
In the case, the class's of checking report is recorded and is linked up with field measurement personnel transfer and revise.As shown in Figure 5 may be used
So that abnormity point is labeled with (point that circle is marked is as abnormity point)；
D. data output: accurate shot point coordinate and altitude data, detection point coordinates and high number of passes will be checked
According to by the output of subsequent treatment requirement form.
Application example
For ease of understanding scheme and its effect of the embodiment of the present invention, a concrete application example given below.
It will be understood by those skilled in the art that this example is only for the purposes of understanding the present invention, its any detail is not
It is intended to limit by any way the present invention.
As shown in figure 4, this technology is applied to Tarim Basin In Xinjiang refined carat three-dimensional block-tie processing, pasture north
The project such as D seismic data processing and Tahe nine piece D seismic data processing, practice have shown that apply this skill
Art, can objective with science, rapidly and accurately realize big gun and examine mutually looking into of data, can check that different masses are three-dimensional
Overlapping region near surface data whether there is System level gray correlation.Can disposably pinpoint the problems and revise in time.
If Fig. 6 is refined carat three-dimensional work area schematic diagram in flakes, the region wherein drawing heavy line is two work areas
Overlay region, application the technology of the present invention " the mutual checking method of data examined by a kind of big gun ", find that two work areas overlay region is high
Number of passes according to there is systematic error, such as Fig. 7 and Biao 3 (note: two pieces of average discrepancy in elevation in three-dimensional overlay region: 6.21613
Rice, is a system discrepancy in elevation), the near surface elevation model such as Fig. 8 after systematic features.
Table 3 is examined with modelling big gun and is mutually looked into the refined carat of technical Analysis and the Ya Dong overlay region discrepancy in elevation
It is described above the presently disclosed embodiments, described above is exemplary, and non-exclusive,
And it is also not necessarily limited to disclosed each embodiment.In the scope and spirit without departing from illustrated each embodiment
In the case of, many modifications and changes will be apparent from for those skilled in the art.
The selecting it is intended to best explain the principle of each embodiment, practical application or to market of term used herein
In technology technological improvement, or so that other those of ordinary skill of the art is understood that and discloses herein
Each embodiment.
Claims (10)
1. a kind of big gun examines the mutual checking method of data it is characterised in that comprising the following steps:
Step a: receive shot point coordinate, shot point altitude data, detection point coordinates and geophone station altitude data；
Step b: shot point near surface elevation model is set up according to shot point coordinate and shot point altitude data, obtains shot point
Near surface altitude data；Geophone station near surface elevation mould is set up according to detection point coordinates and geophone station altitude data
Type, obtains geophone station near surface altitude data；
Step c: shot point near surface altitude data is contrasted with geophone station near surface altitude data, according to right
Processed than result.
2. a kind of big gun according to claim 1 examines the mutual checking method of data it is characterised in that described step
The process obtaining shot point near surface altitude data in rapid b includes:
Shot point near surface elevation model is set up according to shot point coordinate and shot point altitude data；
Gridding is carried out to shot point near surface elevation model according to default grid, obtains on each mesh point
Shot point near surface height value；
Resampling is carried out to shot point near surface height value, obtains shot point near surface altitude data.
3. a kind of big gun according to claim 2 examines the mutual checking method of data it is characterised in that described step
The process obtaining geophone station near surface altitude data in rapid b includes:
Geophone station near surface elevation model is set up according to detection point coordinates and geophone station altitude data；
Gridding is carried out to geophone station near surface elevation model according to default grid, obtains on each mesh point
Geophone station near surface height value；
Resampling is carried out to geophone station near surface height value, obtains geophone station near surface altitude data.
4. a kind of big gun according to claim 3 examines the mutual checking method of data it is characterised in that described right
Shot point near surface height value carries out resampling and to carry out resampling to geophone station near surface height value be all according to matter
The coordinate at amount control point carries out resampling.
5. a kind of big gun according to claim 4 examines the mutual checking method of data it is characterised in that described big gun
Point near surface altitude data is the shot point near surface altitude data of qualifying point position；Described geophone station
Near surface altitude data is the geophone station near surface altitude data of qualifying point position.
6. a kind of big gun according to claim 4 or 5 examines the mutual checking method of data it is characterised in that institute
State step c to include:
Contrast shot point near surface altitude data and the geophone station near surface elevation of same qualifying point position
Data；
Difference as shot point near surface altitude data and geophone station near surface altitude data is less than given threshold, then
Shot point coordinate, shot point altitude data, detection point coordinates and geophone station altitude data are correct；Otherwise, send announcement
Alarming information, points out error in data.
7. a kind of big gun is examined data and is mutually looked into system, including receiver module, MBM and contrast processing module；
Described receiver module is used for receiving shot point coordinate, shot point altitude data, detection point coordinates and geophone station height
Number of passes evidence；
Described MBM is used for setting up shot point near surface elevation mould according to shot point coordinate and shot point altitude data
Type, obtains shot point near surface altitude data；Geophone station is set up according to detection point coordinates and geophone station altitude data
Near surface elevation model, obtains geophone station near surface altitude data；
Described contrast processing module is used for entering shot point near surface altitude data with geophone station near surface altitude data
Row contrast, is processed according to comparing result.
8. a kind of big gun according to claim 7 is examined data and is mutually looked into system it is characterised in that described build
The process obtaining shot point near surface altitude data in mould module includes:
Shot point near surface elevation model is set up according to shot point coordinate and shot point altitude data；
Gridding is carried out to shot point near surface elevation model according to default grid, obtains on each mesh point
Shot point near surface height value；
Resampling is carried out to shot point near surface height value, obtains shot point near surface altitude data；
The process obtaining geophone station near surface altitude data in described MBM includes:
Geophone station near surface elevation model is set up according to detection point coordinates and geophone station altitude data；
Gridding is carried out to geophone station near surface elevation model according to default grid, obtains on each mesh point
Geophone station near surface height value；
Resampling is carried out to geophone station near surface height value, obtains geophone station near surface altitude data.
9. a kind of big gun according to claim 8 is examined data and is mutually looked into system it is characterised in that described right
Shot point near surface height value carries out resampling according to the coordinate of qualifying point；The shot point near-earth that resampling obtains
Table altitude data is the shot point near surface altitude data of qualifying point position；
Described according to the coordinate of qualifying point, resampling is carried out to geophone station near surface height value；Resampling obtains
The geophone station near surface altitude data obtaining is the geophone station near surface altitude data of qualifying point position.
10. a kind of big gun according to claim 9 is examined data and is mutually looked into system it is characterised in that described
Contrast processing module includes to the process of shot point near surface altitude data and geophone station near surface altitude data:
Contrast shot point near surface altitude data and the geophone station near surface elevation of same qualifying point position
Data；
Difference as shot point near surface altitude data and geophone station near surface altitude data is less than given threshold, then
Shot point coordinate, shot point altitude data, detection point coordinates and geophone station altitude data are correct；Otherwise, send announcement
Alarming information, points out error in data.
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| CN114706120A (en) * | 2022-04-15 | 2022-07-05 | 电子科技大学 | Method for reducing high-efficiency acquisition vibroseis shot-filling rate |
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| Publication number | Publication date |
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| CN106338770B (en) | 2018-09-18 |
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