ISSN 1009-6248CN 61-1149/P Bimonthly

Supervisor:China Geological Survey

Sponsored by:XI'an Center of China Geological Survey
Geological Society of China

    • The Core Journals of China
    • The Key Magazine of China Technology
    • CSCD Included Journals
    • Scopus Included Journals
Advance Search
SUN Tie-jun, FENG Qing-fu, LIU Hao, et al. Method of Automatic Identification of Sedimentary Microfacies Using Well Logging Data[J]. Northwestern Geology, 2010, 43(3): 132-140.
Citation: SUN Tie-jun, FENG Qing-fu, LIU Hao, et al. Method of Automatic Identification of Sedimentary Microfacies Using Well Logging Data[J]. Northwestern Geology, 2010, 43(3): 132-140.

Method of Automatic Identification of Sedimentary Microfacies Using Well Logging Data

More Information
  • Received Date: October 07, 2009
  • Revised Date: August 04, 2010
  • Published Date: September 04, 2010
  • Based on the sedimentary microfacies analysis of key wells,the log characteristic parameters for all kinds of sedimentary microfacies have been extracted from the well log data integrating with well logging,geology and mathematics.The discriminant models for the sedimentary microfacies have been established by means of multivariate statistical analysis.We have succeeded to program a software,which could implement the automatic and continuous discrimination of sedimentary microfacies for the hole profile using well log data.The log data from more than ten wells of anonymous oilfield have been processed using the soft ware,and drawn the plane graph of sedimentary microfacies.
  • Related Articles

Catalog

    Article views (2442) PDF downloads (4276) Cited by()

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return