An automatic fracture detection method based on seismic coherent volume slices

An automatic detection and coherent volume technology, applied in the field of oil exploration image processing, can solve the problems of information waste, lack of mathematical description in interpretation of seismic coherent volume slices, and inaccurate interpretation results

Active Publication Date: 2019-08-23
UNIV OF ELECTRONICS SCI & TECH OF CHINA
View PDF14 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is: in order to solve the lack of mathematical description of existing seismic coherent volume slice interpretation, rely on the experience and intuition of seismic interpreters, and only interpret typical seismic coherent volume slices, resulting in information waste, interpretation For the problem of inaccurate results, the present invention provides an automatic fracture detection method based on seismic coherent volume slices

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
  • An automatic fracture detection method based on seismic coherent volume slices
  • An automatic fracture detection method based on seismic coherent volume slices
  • An automatic fracture detection method based on seismic coherent volume slices

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0102] Such as Figure 1 to Figure 12 As shown, this embodiment provides a method for automatic crack detection based on seismic coherent volume slices, including the following steps:

[0103] S1, Median filter denoising

[0104] Input 2D seismic coherent volume slice data, and perform median filtering on the input 2D seismic coherent volume slice data to remove salt and pepper noise caused by insufficient coherence algorithm and data acquisition errors;

[0105] In the S1, a 5×5 two-dimensional template is used to perform median filtering on the input 2D seismic coherent volume slice data;

[0106] S2, normalization processing

[0107] The median-filtered data is normalized using the dispersion standardization method, so that the variation range of the median-filtered 2D seismic coherent volume slice data is between [0,-1];

[0108] In the S2, the standardization method of the deviation is used to normalize the data after the median filter, which specifically includes 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 discloses an automatic detection method for fractures based on seismic coherent volume slices, and relates to the technical field of oil exploration image processing. The invention includes the following steps: S1, median filtering and denoising; S2, normalization processing; S3, bilateral filtering Processing with Laplacian filtering; S4, connected component marking to remove isolated noise; S5, morphological operation processing; S6, flood filling algorithm to repair 2D seismic coherent volume slices; S7, FPA algorithm to extract skeleton; S8, MyPadding function to enhance cracks Continuity; S9, connected component marking; S10, least squares line fitting method processing; S11, classification display, classify fractures according to different azimuth ranges, and obtain the final 2D seismic coherent volume slice data for automatic fracture detection As a result, the present invention can directly use seismic coherent volume slice data to extract fracture information, realize fracture azimuth calculation, greatly improve seismic slice fracture interpretation efficiency, and save a lot of manpower and material costs.

Description

technical field [0001] The invention relates to the technical field of oil exploration image processing, and more specifically relates to an automatic fracture detection method based on seismic coherent volume slices. 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 seismic ...

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 Patents(China)
IPC IPC(8): G01V1/28G01V1/30
Inventor 彭真明廖龙彭凌冰汪春宇张天放李曙吴昊陈颖频曹思颖陶冰洁何艳敏
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap