A Method of Seismic Data Attribute Extraction Based on Kernel Correlation

A technology for seismic data and attribute extraction, applied in the field of seismic exploration, to achieve the effect of strong operability and easy realization

Active Publication Date: 2020-03-17
XI AN JIAOTONG UNIV
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In most of the coherent attribute extraction methods above, the commonly used correlation coefficient is used as a measure to construct the covariance matrix. This measure has certain limitations. Therefore, a measure that is more in line with the seismic data traces should be used To realize the extraction of seismic data attributes

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
  • A Method of Seismic Data Attribute Extraction Based on Kernel Correlation
  • A Method of Seismic Data Attribute Extraction Based on Kernel Correlation
  • A Method of Seismic Data Attribute Extraction Based on Kernel Correlation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0026] The invention firstly introduces the concept of core correlation, and proposes a new method for extracting seismic attributes. Compared with the traditional commonly used coherent attribute extraction method, it is characterized in that it overcomes the simple application of linear correlation to realize the construction of the covariance matrix, but constructs the kernel correlation matrix based on the distance on the spherical manifold space, and calculates the maximum characteristic of the kernel correlation matrix The ratio of the value to the trace of the matrix is ​​output as the coherent attribute value of the target point, and all data points are looped through to realize the extraction of seismic coherent attributes. It specifically includes the following steps:

[0027] 1) Selection of seismic channels

[0028] Select the seismic data in a 3×3 window centered on the target seismic trace, a total of 9 traces of data, X i and x j Indicates the 9 channels of d...

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 seismic data attribute extraction method based on nuclear relation. The method comprises the steps of 1, selection of a seismic trace; 2, computation of nuclear-related measures; 3, building of a nuclear-related matrix; and 4, computing of seismic trace attribute values. According to the method provided by the invention, the extraction of coherent attributes in seismic attributes can be achieved, the nuclear-related function is introduced, and via the steps of building the nuclear-related matrix and computing the matrix feature value, the extraction of the coherent attributes of seismic data is achieved. The method is convenient to implement, can achieve discontinuity detection on stratum edges, rivers and the like and accurate depiction on geologic features suchas the non-homogeneity and fault of sand bodies; and the technical scheme is easy to implement and strong in operability.

Description

technical field [0001] The invention belongs to the technical field of seismic exploration, and relates to an attribute extraction technology of seismic data, in particular to an attribute extraction method of seismic data based on nuclear correlation. Background technique [0002] The coherence attribute is one of the seismic attributes, which is a powerful seismic interpretation technique developed in recent years. The pictures of coherent attribute data can clearly describe geological structures such as deltas, channels, and reefs underground, and can also determine the spatial distribution of faults and geological characteristics such as reservoir lithology changes. [0003] In 1995, Bahorich et al. published a coherent volume algorithm based on normalized channel cross-correlation (called the first generation coherent volume algorithm, denoted as C1). The application effect of this method immediately aroused great repercussions in the industry. In 1998, Marfurt et al p...

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): G01V1/28
CPCG01V1/28
Inventor 杨涛高静怀孙逢圆高照奇张兵王治国李闯刘耀波
Owner XI AN JIAOTONG UNIV
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