Method of Automatic Identification of Sedimentary Microfacies Using Well Logging Data

SUN Tie-jun; FENG Qing-fu; LIU Hao; WANG Feng-gang

2010 Vol. 43, No. 3

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SUN Tie-jun, FENG Qing-fu, LIU Hao, WANG Feng-gang. 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, WANG Feng-gang. 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

1.
Niger Research Center Oversea Business Department GRI/BGP, Zhuozhou 072751, Hebei, China
2.
Research Institute of Petroleum Expioration and Development, Beijing 10083, China
3.
Shougang Geological Exploration Institute, Beijing 100144, China

Received Date: 08 October 2009

Revised Date: 05 August 2010

Publish Date: 15 September 2010

Abstract

Abstract

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.
- sedimentary microfacies /
- log phase mode /
- automatic identification /
- multivariate statistical analysis