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