The design and implementation of dip arrow plot pattern recognition system

Author

Shengxi, Pan ; Jianguo, Liu ; Jiaxiong, Peng ; Wang, Guibin

Author_Institution

Pattern Recognition & Artificial Intelligence Inst., Huazhong Univ. of Sci. & Technol., Hubei, China

fYear

1988

Firstpage

703

Abstract

Dip logging is a method of well logging. From the raw data obtained by dip logging, a dip arrow plot can be obtained using the relation comparison method of pattern recognition. The data tend to be very much scattered and random. The design principle and method of an expert dip arrow plot pattern recognition system are described. It incorporates a mathematical model method and an artificial intelligence technique. An angle processing algorithm and an ordered sample grouping algorithm are proposed. This system has been implemented on an IBM-PC/XT and on compatible machines. Its classification rate is 98%, obtained by processing 21 data patterns from the Zhongyuan oil field in China

Keywords

IBM computers; computerised pattern recognition; computerised picture processing; expert systems; geophysical prospecting; geophysical techniques; geophysics computing; microcomputer applications; China; IBM-PC/XT; Zhongyuan oil field; angle processing algorithm; artificial intelligence; borehole method; classification rate; computerised picture processing; dip arrow plot pattern recognition system; dip logging; expert systems; geophysics computing; ordered sample grouping algorithm; prospecting technique; random data; relation comparison method; scattered data; well logging; Acoustic scattering; Artificial intelligence; Electronics packaging; Eyes; Feature extraction; Geology; Pattern analysis; Pattern recognition; Petroleum; Well logging;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 1988., 9th International Conference on

Conference_Location

Rome

Print_ISBN

0-8186-0878-1

Type

conf

DOI

10.1109/ICPR.1988.28333

Filename

28333