• 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