Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Three-dimensional seismic data multiple suppression method based on local similarity coefficient

A local similarity and three-dimensional seismic technology, applied in the field of geophysical exploration signal processing, can solve the problem of sparse sampling in the direction of the contact survey line, and achieve the effect of improving precision and accuracy, high precision and accuracy, and high stability

Active Publication Date: 2020-06-05
JILIN UNIV
View PDF7 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a method for multiple suppression of 3D seismic data based on local similarity coefficients, to overcome the problem of multiple contribution gathers due to the sparse sampling in the direction of the contact survey line in the conventional 3D surface correlation multiple suppression technology. And the result has a large number of spatial aliasing shortcomings, realize the high-resolution multiple wave prediction of 3D marine seismic data, and effectively suppress the spatial aliasing frequency generated by conventional methods

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Three-dimensional seismic data multiple suppression method based on local similarity coefficient
  • Three-dimensional seismic data multiple suppression method based on local similarity coefficient
  • Three-dimensional seismic data multiple suppression method based on local similarity coefficient

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0066] a. The stratum model is an inclined stratum model of 2000m*1000m, such as Figure 10a As shown, the stratigraphic model has three layers of interfaces, that is, four layers of media. The depth of the first layer interface at (0,0) is 800m, the velocity of the first layer medium is 1200m / s, and the density is 1000kg / m 3 , inclined 5° along the direction of the contact survey line; the depth of the second layer interface at (0,0) is 1300m, the velocity of the second layer medium is 1500m / s, and the density is 2000kg / m 3 , inclined 10° along the longitudinal survey line; the depth of the third layer interface at (0,0) is 2200m, the velocity of the third layer medium is 2000m / s, and the density is 2500kg / m 3 , is the horizontal layer; the velocity of the medium in the fourth layer is 2500m / s, and the density is 3000kg / m 3 . The observation system is set to 11 measuring lines with a length of 2000m, which are evenly distributed at intervals of 100m (-500m—500m). Get the ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention belongs to the technical field of geophysical exploration signal processing, and relates to a three-dimensional seismic data multiple suppression method based on a local similarity coefficient. The method is based on a conventional three-dimensional surface related multiple wave pressing technology. The method comprises: calculating a local similarity coefficient spectrum of the multiple contribution gather of the contact survey line and the Radon transformation result; constructing a weighted threshold operator according to the similarity coefficient difference; using the Kronecker product of the original data and a weighted threshold operator, determining stationary phase overlay space, replacing a direct summation process of multiple wave connection measuring lines by superposition of Fresnel spaces, and the high-resolution multiple wave prediction method for the three-dimensional ocean seismic data is realized. The spatial false frequency generated by a conventional method is effectively suppressed, so that multiple wave prediction is more accurate, the precision and accuracy of multiple wave suppression are improved, and much convenience is brought to subsequentprocessing and explanation of seismic data processing.

Description

technical field [0001] The invention belongs to the technical field of geophysical exploration signal processing, in particular to a method for suppressing multiple waves of three-dimensional marine seismic data, in particular to a method for suppressing multiple waves of three-dimensional seismic data based on local similarity coefficients. Background technique [0002] The multiple wave is the underground response of the seismic wave received by the surface geophone after multiple reflections at the interface with a large difference in the surface or underground wave impedance. It is similar to the shape of the primary wave, which interferes with the effective identification of the primary wave and affects the authenticity of seismic exploration data processing and interpretation. For the accuracy and reliability of marine seismic data, the suppression of multiple waves is particularly important. The SRME method is the mainstream multiple wave suppression method in the ind...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G01V1/36
CPCG01V1/364G01V2210/324
Inventor 胡斌王德利杨帆
Owner JILIN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products