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Crack Detection Method Based on Hessian Matrix for Seismic Coherent Data

A coherent data and detection method technology, applied in the field of seismic exploration, can solve problems such as incomplete morphological features, inaccurate crack detection, and noise interference, and achieve the effects of automation, good continuity, and noise suppression

Active Publication Date: 2019-09-27
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0007] The object of the present invention is to provide a Hessian matrix-based seismic coherent data crack detection method, which solves the problems of inaccurate crack detection and poor continuity in seismic slice data with severe noise interference and incomplete morphological features in traditional crack detection methods

Method used

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  • Crack Detection Method Based on Hessian Matrix for Seismic Coherent Data
  • Crack Detection Method Based on Hessian Matrix for Seismic Coherent Data
  • Crack Detection Method Based on Hessian Matrix for Seismic Coherent Data

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Embodiment 1

[0077] The Hessian matrix-based seismic coherent data crack detection method provided by the preferred embodiment of the present invention, such as figure 1 shown, including the following steps:

[0078] Step 1: For the seismic coherent data with extremely low signal-to-noise ratio, poor continuity of fractures and incomplete morphological features, anisotropic diffusion filter based on structure tensor is used to denoise and protect the continuity of fractures;

[0079] Step 1.1: Calculate the structure tensor of the input 2D seismic coherent volume slice;

[0080] Step 1.1.1: Calculate the input as figure 2 The structure tensor T of the 2D seismic coherent volume slice shown,

[0081]

[0082] Among them, I x , I y represent the first-order partial derivatives of the slice along the x direction and the y direction respectively, F represents a Gaussian kernel function, and the variance of the Gaussian kernel function is 10;

[0083] Step 1.2: Anisotropic diffusion fi...

Embodiment 2

[0114] The Hessian matrix-based seismic coherent data crack detection method provided in this embodiment includes the following steps:

[0115] Step 1: For the seismic coherent data with extremely low signal-to-noise ratio, poor continuity of fractures and incomplete morphological features, anisotropic diffusion filter based on structure tensor is used to denoise and protect the continuity of fractures;

[0116] Step 1.1: Calculate the structure tensor of the input seismic 3D coherent data;

[0117] Step 1.1.1: Calculate the structure tensor T of the input seismic 3D coherent data,

[0118]

[0119] Among them, I x , I y represent the first-order partial derivatives of the slice along the x direction and the y direction respectively, F represents a Gaussian kernel function, and the variance of the Gaussian kernel function is 10;

[0120] Step 1.2: Anisotropic diffusion filtering is obtained according to the heat conduction equation;

[0121] Step 1.2.1: Calculate the he...

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Abstract

The invention discloses a crack detection method for seismic coherent data based on a Hessian matrix, which belongs to the field of seismic exploration. For seismic coherent data with extremely low signal-to-noise ratio, poor continuity of cracks and incomplete morphological features, anisotropic diffusion based on structural tensor is used. Filter to denoise and protect the continuity of fractures; then construct a response function based on the geometric structure information of the Hessian matrix eigenvalues ​​to enhance the cracks / faults in rod-like structures, where the anisotropic Gaussian filter is introduced to enhance the direction-constrained fractures / faults processing; finally, use the Steger ridge detection method to complete the detection of cracks. The invention solves the problems of inaccurate crack detection and poor continuity in seismic slice data with severe noise interference and incomplete morphological features in the traditional crack detection method.

Description

technical field [0001] The invention belongs to the field of seismic exploration, and relates to fracture system modeling, in particular to a method for detecting cracks of seismic coherent data based on Hessian matrix. Background technique [0002] At present, with the improvement of oil and gas exploration and development technology at home and abroad, people pay more and more attention to the development of complex lithology and fractured oil and gas fields under the background that the large oil and gas fields that are easy to be exploited worldwide have basically been developed. Seismic coherent volume slicing technology is a fine interpretation technology of seismic data developed to adapt to this trend. It refers to the two-dimensional geophysical significance extracted in the form of plane or curved surface along a certain direction of the three-dimensional seismic data volume. Spatial attribute carrier. [0003] The most basic characteristics of fractures in seismi...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01V1/30
Inventor 彭真明廖龙吴昊李曙何艳敏彭凌冰赵学功陈颖频陶冰洁张全杨春平
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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