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

Three-dimensional data fault enhancing method based on curve Gabor filtering

A three-dimensional data and fault technology, applied in seismic signal processing and other directions, can solve the problems of small response, insufficient contrast, no texture features, etc., and achieve the effect of increasing useful information, enhancing fault details, and suppressing noise.

Active Publication Date: 2018-01-16
UNIV OF ELECTRONICS SCI & TECH OF CHINA
View PDF10 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At the same time, areas where there are no faults are often full of background noise, so there is no obvious texture feature, the contrast is not enough, and there is usually a small response after filtering

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 data fault enhancing method based on curve Gabor filtering
  • Three-dimensional data fault enhancing method based on curve Gabor filtering
  • Three-dimensional data fault enhancing method based on curve Gabor filtering

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0045] In order to facilitate those skilled in the art to understand the technical content of the present invention, the content of the present invention will be further explained below in conjunction with the accompanying drawings.

[0046] like figure 2 Shown is the scheme flowchart of the present application, the technical scheme of the present application is: first carry out structure-guided filtering noise reduction to the original three-dimensional seismic amplitude data volume, and coherent volume calculation based on GST (gradient structure tensor) azimuth angle, obtain the A coherent attribute body that fully reflects the structural characteristics of the geological body itself. Next, the tomographic enhancement based on the curved Gabor filter is performed on the coherent volume; specifically, it includes:

[0047] S1. Construct a second-order tensor according to the coherent body corresponding to the current pixel;

[0048] S2. Perform eigenvalue decomposition on...

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 discloses a three-dimensional data fault enhancing method based on curve Gabor filtering. The three-dimensional data fault enhancing method based on curve Gabor filtering is applied to the seismic data processing field, and includes the steps: performing structural directing filtering noise reduction and coherence cube calculation based on a gradient structure tensor azimuth on the original three-dimensional seismic amplitude data volume, and obtaining the coherence attribute volume which can fully reflect the self structural characteristics of the geologic body; using the improved curve Gabor filtering algorithm to process the coherence to enable the large fault structure in the original coherence cube to become more clear; and restraining the noise in the background, and significantly enhancing the tiny fault details.

Description

technical field [0001] The invention belongs to the field of seismic data processing, in particular to a seismic fault extraction and enhancement technology. Background technique [0002] A fault is a structure in which the crust is fractured by force, and the rock blocks on both sides of the fracture surface undergo significant relative displacement. Accurate characterization of faults runs through the entire process of oil and gas field development. Reliable fault extraction technology can bring huge economic benefits. The development of fine fault extraction and enhancement technology has become an urgent requirement of the exploration situation. Fault extraction is a relatively complicated process, but in simple terms, the entire process of fault extraction is roughly as follows figure 1 shown. Firstly, the seismic data is preprocessed, the basic interference signals in the data are eliminated, and useful signals are roughly extracted; secondly, some texture attributes...

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): G01V1/30G01V1/36
Inventor 钱峰徐敏杰孙小田胡光岷
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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