Accession Number : ADA136210

Title :   Detection of Bright Spots in Seismic Signal Using Pattern Recognition Techniques

Descriptive Note : Technical rept.

Corporate Author : PURDUE UNIV LAFAYETTE IN SCHOOL OF ELECTRICAL ENGINEERING

Personal Author(s) : Huang, Kou Y ; Fu, K S

PDF Url : ADA136210

Report Date : Sep 1983

Pagination or Media Count : 263

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.

Descriptors :   *COMPUTER AIDED DIAGNOSIS, *PATTERN RECOGNITION, *SEISMIC DATA, CLASSIFICATION, COMPUTER GRAPHICS, GAUSSIAN NOISE, IMAGE PROCESSING, MATHEMATICAL ANALYSIS, SIGNAL PROCESSING, WAVEFORMS

Subject Categories : Seismology

Distribution Statement : APPROVED FOR PUBLIC RELEASE