CN108072897A - It is a kind of to mix computational methods when two-dimensionally seismic wave is walked - Google Patents
It is a kind of to mix computational methods when two-dimensionally seismic wave is walked Download PDFInfo
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- CN108072897A CN108072897A CN201810077621.8A CN201810077621A CN108072897A CN 108072897 A CN108072897 A CN 108072897A CN 201810077621 A CN201810077621 A CN 201810077621A CN 108072897 A CN108072897 A CN 108072897A
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- 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. analysis, for interpretation, for correction
- G01V1/30—Analysis
- G01V1/303—Analysis for determining velocity profiles or travel times
- G01V1/305—Travel times
-
- 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. analysis, for interpretation, for correction
- 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
- G01V2210/60—Analysis
- G01V2210/67—Wave propagation modeling
- G01V2210/671—Raytracing
Abstract
Computational methods when two-dimensionally seismic wave is walked the invention discloses a kind of mixing, comprise the following steps：Read in relevant parameter, rate pattern；Ray is sent to different directions and calculate central ray information along focus；The seimic travel time of radiation range internal net point is calculated using wavefront construction method；Attribute is classified and establishes initial narrow band on this basis when being walked to total space mesh point；Remaining mesh point seimic travel time is calculated using fast-marching algorithm.By the present invention in that it is connected to fast-marching algorithm and wavefront construction method with narrow-band technologies, the seimic travel time computational accuracy of smaller area near focus is improved by wavefront construction method, so as to improving computational accuracy of the fast-marching algorithm in remaining area grid node, realize when a kind of two-dimensionally seismic wave for taking into account computational efficiency and computational accuracy is walked and calculate.
Description
Technical field
It is particularly a kind of to mix computational methods when two-dimensionally seismic wave is walked the present invention relates to seimic travel time calculating field.
Background technology
《Journal of Engineering Geophysics》3rd phase in 2009 disclose Zhang Shuanjie etc. " fast-marching algorithm computational accuracy analyze and
Improve ", the method for describing two kinds of raising fast-marching algorithm computational accuracies, first, being calculated using higher-order wave equation；Two
It is that local fine processing is carried out to grid node near focal point, is calculated near focus using higher-order wave equation,
Remaining area is calculated using low order differential form.And it carries out seismic wave to uniform dielectric model by both approaches to walk
When calculate, experimental result has obtained relatively good effect.
《International Geology》3rd phase in 2016 discloses " the fast-marching algorithm seismic wave based on complete ternary tree such as Wang Qianlong
Calculated when walking ", describe it is a kind of it is improved quickly propel seimic travel time computational methods, complete ternary tree sort method is introduced
In being calculated to seimic travel time, reduce and the time that minimum walks duration is found in narrowband extension, improve the calculating of entire algorithm
Efficiency.And by quickly propelling seimic travel time computational methods to stratified model, Marmousi moulds based on complete ternary tree
Type, Sigsbee 2a models are calculated, and experimental result has obtained relatively good effect.
By example above as can be seen that the existing seimic travel time computational methods that quickly propel can carry to a certain extent
Computational accuracy is risen, but realizes that process is complicated, the computational accuracy of promotion is also limited.
The content of the invention
The technical problems to be solved by the invention are to provide a kind of mixing computational methods when two-dimensionally seismic wave is walked, by flexible
By wavefront construction seimic travel time computational methods and the seamless connection of seimic travel time computational methods is quickly propelled with narrow-band technologies
Get up, i.e., by near focus a small range using the higher wavefront construction method of computational accuracy, used in remaining area quick
When propelling method calculates, while original fast-marching algorithm computational accuracy is improved, the characteristics of its is efficient is still remained.
In order to solve the above technical problems, the technical solution adopted by the present invention is：
It is a kind of to mix computational methods when two-dimensionally seismic wave is walked, comprise the following steps：
Step 1：Relevant parameter file, rate pattern are read in, wherein, the Parameter File includes the mesh point of rate pattern
Number, grid spacing and hypocentral location；
Step 2：Along different directions divergent-ray and central ray information is calculated from shot point；
Step 3：When being walked using grid node in wavefront construction method calculating ray coverage；
Step 4：Classify to all mesh points, divide them into receiving station, narrowband point or point of distance, i.e., if one
The seimic travel time of mesh point had been computed, and that is put around it all calculated when walking, then this point is receiving station；Such as
The seimic travel time of one mesh point of fruit calculated, and put around it when walking and it is not all calculated, then this point is narrowband
Point；If point is not calculated when walking, this point is point of distance；
Step 5：All narrowband points are moved into narrowband, build initial narrow band；
Step 6：Narrowband is extended, until narrowband is sky；In this course, when mesh point is walked asked by upwind difference method
The two-dimentional eikonal equation of solution obtains, and the two dimension eikonal equation is：
| ▽ τ |=s
Wherein, τ is seimic travel time, and s is slowness, and ▽ is gradient signs, the upwind difference table of gradient terms in above-mentioned formula
It is up to formula：
Wherein,Be respectively when walking at the grid node (i, j) on x or z directions
Difference expression forward or backward, concrete form are respectively：
Further, in step 2, solve kinematics ray tracing equation group using Long Gekutafa and obtain central ray
Information is shown below：
Wherein, xiRepresentation space position, piRepresent slowness component, τ represents seimic travel time, and v represents the speed at discrete point
Value.
Compared with prior art, the beneficial effects of the invention are as follows：It is improved as a result of wavefront construction method near focus
Area grid node seimic travel time computational accuracy, so as to improve the computational accuracy of fast-marching algorithm zoning mesh point；
The computational accuracy of entire seimic travel time algorithm greatly improved to reduce less computational efficiency as cost.
Description of the drawings
Fig. 1 is that the present invention mixes computational methods flow chart when two-dimensionally seismic wave is walked.
Fig. 2 wavefront construction method region segmentation schematic diagrames.
Fig. 3 is fast-marching algorithm relative error in uniform dielectric.
Fig. 4 is that seimic travel time computational methods relative error is mixed in uniform dielectric.
Specific embodiment
The present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.
Fig. 1 is to mix computational methods flow chart when two-dimensionally seismic wave is walked, and the realization flow of the method for the present invention is shown in figure,
It is specific as follows：
1) relevant parameter file, rate pattern are read in, wherein, Grid dimension of the Parameter File comprising rate pattern,
Grid spacing and hypocentral location.
2) from shot point along different directions divergent-ray, the launch angle scope of ray is：- 90 ° to+90 °, between ray
Angle at intervals of 3 ° to 10 °, using Long Gekutafa solve kinematics ray tracing equation group obtain central ray information, such as
Shown in following formula：
Wherein, xiRepresentation space position, piRepresent slowness component, τ represents seimic travel time, and v represents the speed at discrete point
Value.
3) when being walked using grid node in wavefront construction method calculating ray coverage.This region quilt in calculating process
It is put before adjacent wave on adjacent center ray and is divided into multiple irregular quadrilaterals (as shown in Figure 2), in each quadrangle
Grid node is obtained by quadrangle vertex information interpolation.
4) complete after wavefront construction method calculates, attributive classification is carried out to total space grid node, it is specified that：An if grid
The seimic travel time of point had been computed, and that is put around it all calculated when walking, then this point is receiving station；If one
The seimic travel time of a mesh point calculated, and put around it when walking and it is not all calculated, then this point is narrowband point；Such as
One point of fruit is not calculated when walking, then this point is point of distance.
5) all narrowband points are moved into narrowband, builds initial narrow band.
6) narrowband is extended, until narrowband is sky.In this course, it is to solve two by upwind difference method when mesh point is walked
Tie up what eikonal equation obtained, the two dimension eikonal equation is：
| ▽ τ |=s
Wherein, τ is seimic travel time, and s is slowness, and ▽ is gradient signs, the upwind difference table of gradient terms in above-mentioned formula
It is up to formula：
Wherein,Be respectively when walking at the grid node (i, j) on x or z directions
Difference expression forward or backward, concrete form are respectively：
Analysis verification is carried out to the computational accuracy and stability of the method for the present invention below by uniform dielectric model.
Fig. 3, Fig. 4 are respectively that fast-marching algorithm is opposite in uniform dielectric model with mixing seimic travel time computational methods
Error, the size of homogeneous model is 601 × 601, and grid spacing is 10m × 10m, speed 1000m/s.When combining to walk in method
The maximum length for finding out single ray is 500m.As can be seen from the figure seimic travel time computational methods are mixed compared with quickly pushing away
It is greatly improved into method computational accuracy.
By the present invention in that being connected to fast-marching algorithm and wavefront construction method with narrow-band technologies, improved by wavefront construction method
The seimic travel time computational accuracy of the neighbouring smaller area of focus, so as to improving fast-marching algorithm in remaining area grid node
Computational accuracy, realize when a kind of two-dimensionally seismic wave for taking into account computational efficiency and computational accuracy is walked and calculate.
Claims (2)
1. a kind of mix computational methods when two-dimensionally seismic wave is walked, which is characterized in that comprises the following steps：
Step 1：Relevant parameter file, rate pattern are read in, wherein, Grid dimension of the Parameter File comprising rate pattern,
Grid spacing and hypocentral location；
Step 2：Along different directions divergent-ray and central ray information is calculated from shot point；
Step 3：When being walked using grid node in wavefront construction method calculating ray coverage；
Step 4：Classify to all mesh points, divide them into receiving station, narrowband point or point of distance, i.e., if a grid
The seimic travel time of point had been computed, and that is put around it all calculated when walking, then this point is receiving station；If one
The seimic travel time of a mesh point calculated, and put around it when walking and it is not all calculated, then this point is narrowband point；Such as
One point of fruit is not calculated when walking, then this point is point of distance；
Step 5：All narrowband points are moved into narrowband, build initial narrow band；
Step 6：Narrowband is extended, until narrowband is sky；In this course, it is to solve two by upwind difference method when mesh point is walked
Tie up what eikonal equation obtained, the two dimension eikonal equation is：
| ▽ τ |=s
Wherein, τ is seimic travel time, and s is slowness, and ▽ is gradient signs, the upwind difference expression formula of gradient terms in above-mentioned formula
For：
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Wherein,Be respectively when walking at the grid node (i, j) on x or z directions forward
Or backward difference expression formula, concrete form are respectively：
2. a kind of as described in claim 1 mix computational methods when two-dimensionally seismic wave is walked, which is characterized in that in step 2, makes
Kinematics ray tracing equation group is solved with Long Gekutafa and obtains central ray information, is shown below：
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Wherein, xiRepresentation space position, piRepresent slowness component, τ represents seimic travel time, and v represents the velocity amplitude at discrete point.
Priority Applications (4)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810077621.8A CN108072897A (en) | 2018-01-23 | 2018-01-23 | It is a kind of to mix computational methods when two-dimensionally seismic wave is walked |
| NL2020684A NL2020684B1 (en) | 2018-01-23 | 2018-03-29 | Mixed 2D seismic wave travel time calculation method |
| BE2018/0040A BE1025488B1 (en) | 2018-01-23 | 2018-03-30 | Method for calculating 2D mixed seismic propagation time |
| LU100751A LU100751B1 (en) | 2018-01-23 | 2018-03-30 | Method for calculating 2D mixed seismic propagation time |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810077621.8A CN108072897A (en) | 2018-01-23 | 2018-01-23 | It is a kind of to mix computational methods when two-dimensionally seismic wave is walked |
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| Publication Number | Publication Date |
|---|---|
| CN108072897A true CN108072897A (en) | 2018-05-25 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201810077621.8A Pending CN108072897A (en) | 2018-01-23 | 2018-01-23 | It is a kind of to mix computational methods when two-dimensionally seismic wave is walked |
Country Status (4)
| Country | Link |
|---|---|
| CN (1) | CN108072897A (en) |
| BE (1) | BE1025488B1 (en) |
| LU (1) | LU100751B1 (en) |
| NL (1) | NL2020684B1 (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108957538A (en) * | 2018-06-21 | 2018-12-07 | 成都启泰智联信息科技有限公司 | A kind of virtual focus two dimension wavefront construction seimic travel time calculation method |
| CN117194855A (en) * | 2023-11-06 | 2023-12-08 | 南方科技大学 | Fitting analysis method and relevant equipment for weak anisotropy travel time |
| CN117607957A (en) * | 2024-01-24 | 2024-02-27 | 南方科技大学 | Seismic wave travel time solving method and system based on equivalent slowness rapid propulsion method |
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| WO2002065159A1 (en) * | 2001-02-14 | 2002-08-22 | Hae-Ryong Lim | Method of seismic imaging using direct travel time computing |
| CN105425286A (en) * | 2015-10-30 | 2016-03-23 | 中国石油天然气集团公司 | Earthquake time-travelling acquisition method and crosshole earthquake time-travelling tomography method based on the earthquake time-travelling acquisition method |
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| US5724310A (en) * | 1996-10-15 | 1998-03-03 | Western Atlas International, Inc. | Traveltime generation in the presence of velocity discontinuities |
| US6018499A (en) * | 1997-11-04 | 2000-01-25 | 3Dgeo Development, Inc. | Three-dimensional seismic imaging of complex velocity structures |
| US8094513B2 (en) * | 2008-06-03 | 2012-01-10 | Westerngeco L.L.C. | Determining positioning of survey equipment using a model |
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2018
- 2018-01-23 CN CN201810077621.8A patent/CN108072897A/en active Pending
- 2018-03-29 NL NL2020684A patent/NL2020684B1/en not_active IP Right Cessation
- 2018-03-30 BE BE2018/0040A patent/BE1025488B1/en not_active IP Right Cessation
- 2018-03-30 LU LU100751A patent/LU100751B1/en active IP Right Grant
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| WO2002065159A1 (en) * | 2001-02-14 | 2002-08-22 | Hae-Ryong Lim | Method of seismic imaging using direct travel time computing |
| CN106353793A (en) * | 2015-07-17 | 2017-01-25 | 中国石油化工股份有限公司 | Cross-well seismic tomography inversion method on basis of travel time incremental bilinear interpolation ray tracing |
| CN105425286A (en) * | 2015-10-30 | 2016-03-23 | 中国石油天然气集团公司 | Earthquake time-travelling acquisition method and crosshole earthquake time-travelling tomography method based on the earthquake time-travelling acquisition method |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108957538A (en) * | 2018-06-21 | 2018-12-07 | 成都启泰智联信息科技有限公司 | A kind of virtual focus two dimension wavefront construction seimic travel time calculation method |
| CN117194855A (en) * | 2023-11-06 | 2023-12-08 | 南方科技大学 | Fitting analysis method and relevant equipment for weak anisotropy travel time |
| CN117194855B (en) * | 2023-11-06 | 2024-03-19 | 南方科技大学 | Fitting analysis method and relevant equipment for weak anisotropy travel time |
| CN117607957A (en) * | 2024-01-24 | 2024-02-27 | 南方科技大学 | Seismic wave travel time solving method and system based on equivalent slowness rapid propulsion method |
| CN117607957B (en) * | 2024-01-24 | 2024-04-02 | 南方科技大学 | Seismic wave travel time solving method and system based on equivalent slowness rapid propulsion method |
Also Published As
| Publication number | Publication date |
|---|---|
| NL2020684B1 (en) | 2018-11-14 |
| BE1025488A1 (en) | 2019-03-18 |
| BE1025488B1 (en) | 2019-03-25 |
| NL2020684A (en) | 2018-04-20 |
| LU100751B1 (en) | 2018-10-01 |
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