DocumentCode :
2085999
Title :
Design and implementation of Bayesian sedimentary Micro-Facies model recognition system
Author :
Yuyong, Xiao ; Wenbo, Li ; Wenqing, Li ; Linfu, Xue
Author_Institution :
College of Earth Sciences, Jilin University, Changchun 130061, China
fYear :
2010
fDate :
4-6 Dec. 2010
Firstpage :
5036
Lastpage :
5039
Abstract :
Sedimentary Micro-Facies pattern recognition system is very important to improve the efficiency of sedimentary Micro-Facies identification. Bayesian Micro-Facies recognition system is consisted of feature extraction, feature memory, Micro-Facies knowledge and Micro-Facies type recognition. Feature Extractor and Micro-Facies recognition are two major components of the system, feature extraction is mainly used to extract the statistical characteristics, geometric characteristics of features and image feature parameters, Micro-Facies identification mainly use Bayesian model recognition method to make Microfacies identification. The system is used in Daqing area, the accuracy rate of Microfacies identification is 85%.
Keywords :
Algorithm design and analysis; Bayesian methods; Character recognition; Feature extraction; Image recognition; Presses; Bayesian; Logging trace; Model recognition; Recognition system; Sedimentary Micro-Facies;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science and Engineering (ICISE), 2010 2nd International Conference on
Conference_Location :
Hangzhou, China
Print_ISBN :
978-1-4244-7616-9
Type :
conf
DOI :
10.1109/ICISE.2010.5688718
Filename :
5688718
Link To Document :
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