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
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