Title :
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
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;
Conference_Titel :
Pattern Recognition, 1988., 9th International Conference on
Conference_Location :
Rome
Print_ISBN :
0-8186-0878-1
DOI :
10.1109/ICPR.1988.28333
