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Multi-component seismic data Corssline direction wave field reconstruction method based on Shearlet transformation

A seismic data and multi-component technology, applied in the field of geophysical exploration, can solve the problems of inability to effectively reconstruct small underground structures, low precision, difficult reconstruction, etc., and achieve the effect of good use and promotion value, and good reconstruction effect

Inactive Publication Date: 2017-09-01
JILIN UNIV
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  • Claims
  • Application Information

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Problems solved by technology

[0006] The purpose of the present invention is to address the above-mentioned deficiencies in the prior art, and propose a multi-component seismic data Crossline wavefield reconstruction method based on Shearlet transform, so as to solve the problem that the existing single-component seismic Crossline direction seismic wavefield reconstruction method has low accuracy and cannot be effective Reconstruction of small underground structures, difficult to reconstruct problems

Method used

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  • Multi-component seismic data Corssline direction wave field reconstruction method based on Shearlet transformation
  • Multi-component seismic data Corssline direction wave field reconstruction method based on Shearlet transformation
  • Multi-component seismic data Corssline direction wave field reconstruction method based on Shearlet transformation

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Embodiment 1

[0117] In the embodiment of the present invention, a synthesized 3D data is firstly used to interpolate along the Crossline direction. The interpolation distance is 150m, and the interpolation distance is 25m. There are 17 cables and 750 sampling points in the crossline direction. The pressure wave field reconstruction is as follows figure 1 as shown in a. Use the present invention to reconstruct it at 1:6. The specific implementation steps are:

[0118] A. Extract a pressure slice and an acceleration slice in the crossline direction as the input of the present invention, set the number of iterations to 50, and set the threshold factor to 0.99.

[0119] B. Calculate the iteration parameters λ, δ according to the input data p =λ p ·L max and δ v =λ v ·L max ;

[0120] C. Construct a missing matrix M according to the ratio of 1:6, the size is 750*102; that is, 17 cables are reconstructed into 102 cables;

[0121] D. According to the pressure slice in the crossline direc...

Embodiment 2

[0129] Embodiment 2: Taking the measured data at sea as an example, there are 40 channels in total, and the channel spacing is 150m. First use Curvelet transformation, and then use shearlet transformation to interpolate its pressure component to obtain image 3 b, image 3 c. image 3 d is the result obtained with the sparse constraint of the acceleration component. From the results, the interpolation effect of multi-component seismic data based on Shearlet transform is the best.

[0130] The specific implementation steps are as follows:

[0131] A. Extract a pressure slice and acceleration slice in the crossline direction as input, set the number of iterations to 50, and the threshold factor to 0.99.

[0132] B. Use the pressure wave field and acceleration wave field of the actual data as the input of this example

[0133] C. Calculate the iteration parameters λ, δ according to the input data p =λ p ·L max and δ v =λ v ·L max ;

[0134] D. Construct a missing matrix...

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Abstract

The present invention relates to a multi-component seismic data Corssline direction wavefield reconstruction method based on Shearlet transform, which attributes the seismic data reconstruction to l1 regularization based on Shearlet sparse constraints; utilizes the simultaneous observation of pressure and acceleration in multi-component measurement, and the gradient is The reconstructed seismic data provides additional information, which can reconstruct the data more accurately; the P and acceleration wavefields are reconstructed in an alternate iterative manner. The fundamental difference between this method and other methods is that it expands to multi-component seismic data interpolation on the basis of single-component seismic data interpolation. Since the addition of velocity components increases constraints, better reconstruction results can be achieved. It solves the problem that the existing single-component seismic Crossline direction seismic wavefield reconstruction method has low precision, cannot effectively reconstruct small underground structures, and is difficult to reconstruct. Solved the problem that the reconstruction effect of Curvelet with large curvature is not good. The cost is reduced and the accuracy is improved.

Description

technical field [0001] The invention relates to a geophysical prospecting method, in particular to a method for reconstructing sparse seismic data collected by a marine seismic streamer, mainly reconstructing the Crossline direction of the collected multi-component seismic data. Background technique [0002] Currently, streamer acquisition of marine seismic data is usually irregular and sparse in the crossline direction due to the limitation of acquisition cost, and it needs to cover a wide observation range within the limited acquisition cost, so the acquisition spacing in the crossline direction is usually in the inline direction More than 4 times. As a result, it is difficult to identify deep fine structures in the crossline direction and the spatial aliasing is very serious; it is also difficult to interpolate this wave field in practice. [0003] Conventional seismic data interpolation requires the assumption that the seismic data event is linear, and the seismic wave ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01V1/32G01V1/34
CPCG01V1/325G01V1/345
Inventor 刘成明王德利
Owner JILIN UNIV
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