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Prestack Seismic Texture Analysis Method Based on Gradient Co-occurrence Matrix

A technology of co-occurrence matrix and texture analysis, applied in seismic signal processing, seismology, geophysical measurement and other directions, can solve the problem of not being able to improve the resolution of noise effects, achieve low signal-to-noise ratio, reduce noise effects, improve The effect of signal resolution

Active Publication Date: 2020-04-07
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

For pre-stack seismic data, the use of gray-level co-occurrence matrix to describe texture features can not improve resolution and reduce the influence of noise

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  • Prestack Seismic Texture Analysis Method Based on Gradient Co-occurrence Matrix
  • Prestack Seismic Texture Analysis Method Based on Gradient Co-occurrence Matrix
  • Prestack Seismic Texture Analysis Method Based on Gradient Co-occurrence Matrix

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Embodiment Construction

[0026] The invention introduces the texture analysis method of the gradient co-occurrence matrix, and adds gradient information on the basis of using the gray-scale co-occurrence matrix to study the spatial correlation characteristics of the gray scale, so as to improve the data resolution and reduce the influence of noise.

[0027] Adding adjacent units to calculate the gradient can calculate the gradient through the multi-point central difference formula to reduce the effect of noise. When using two adjacent points to calculate the gradient, use the 3-point center difference formula, and the gradient calculation method is as follows:

[0028]

[0029] where d represents sample point z 2 Gradient at z i (i=1, 2, 3) are three adjacent sample point values, and Δx is the sample point interval.

[0030] When the noise is large, the effect of using the 3-point central difference formula to calculate the gradient to reduce the noise is not obvious, so it is necessary to add mo...

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Abstract

The invention discloses a pre-stack seismic texture analysis method based on a gradient co-occurrence matrix, comprising the following steps: S1, obtaining 4-dimensional data V to be analyzed from pre-stack seismic data D; S2, defining the gradient calculation direction and defining the 4-dimensional sub Data set S∈V; S3, centered on the line (:, i, j, k) composed of T sample points in V, the size is T×N I ×N C ×N o The 4-dimensional sub-dataset S of S, calculates the gradient of each point in S sequentially, and obtains the gradient matrix M; S4, constructs the gradient co-occurrence matrix G based on the gradient matrix, and calculates the texture feature attribute based on the gradient co-occurrence matrix G. The present invention adds gradient information on the basis of the gray level co-occurrence matrix, and extracts some statistics from the gradient co-occurrence matrix to reflect texture features. This texture analysis method reduces noise influence while improving signal resolution.

Description

technical field [0001] The invention belongs to the technical field of seismic analysis, in particular to a pre-stack seismic texture analysis method based on a gradient co-occurrence matrix. Background technique [0002] After years of development, exploration seismology has become a discipline for detecting underground geological structures and exploring underground resources such as oil, natural gas and shale gas in different regions. First, based on the reflection, refraction, and diffraction characteristics of seismic waves on the surface of different media, land blasts or vibroseis are used to excite seismic waves. Because different geological structures have different effects on the reflection, refraction and diffraction of seismic waves, and the loss of excited seismic waves is different, this makes the seismic waves that finally return to the ground part different. Therefore, the returned seismic waves carry information about the underground geological structure. R...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01V1/36
CPCG01V1/362G01V2210/32G01V2210/512
Inventor 蔡涵鹏彭龙康吴庆平
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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