Detection of Bright Spots in Seismic Signal Using Pattern Recognition Techniques

Abstract

Bright spot is one of the pattern classes in a seismic section and the indicators of gas (hydrocarbon) accumulation. In the past, detection of bright spots depended primarily upon visual examination and the experience of a geophysicist. It is the author's contention that bright spot detection could be made more confidently by computer-aided analysis. This study concerns with two computer-aided methods. One is the decision-theoretic pattern recognition, the other is the syntactic or structural patterns recognition. Using these two methods, a seismogram is classified into two classes, i.e., bright spot and non-bright spot.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1983
Accession Number
ADA136210

Entities

People

  • King Sun Fu
  • Kou Y. Huang

Organizations

  • Purdue University

Tags

DTIC Thesaurus Topics

  • Change Detection
  • Computers
  • Detection
  • Hydrocarbons
  • Indicators
  • Pattern Recognition
  • Recognition

Readers

  • Circadian Sleep-Wake Regulation and Chronobiology
  • Regression Analysis.
  • Seismology

Technology Areas

  • AI & ML