Lithologic Reservoirs ›› 2012, Vol. 24 ›› Issue (4): 104-107.doi: 10.3969/j.issn.1673-8926.2012.04.020

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Application of fuzzy clustering analysis to recognition of reservoir seepage media

ZHOU Ying1， TANG Hai1， WU Chengmei2， LU Jianjiang1   

  1. 1. School of Petroleum Engineering， Southwest Petroleum University， Chengdu 610500， China； 2. Institute of Zhundong Oil Production Plant， PetroChina Xinjiang Oilfield Company， Fukang 831511， China
  • Online:2012-08-20 Published:2012-08-20

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Abstract:

Seepagemedia recognition is the basis for the study on reservoir. This paper took the Huoshaoshan Oilfield as an example, studied the relationship between seepage media and dynamic characteristics of production, selected dynamic production parameters closely related to the seepage media, and made a detail analysis of seepage media by fuzzy clustering analysis. The result shows that fuzzy clustering analysis is scientific and rational and it has an important significance in researching seepagemedia.

Key words: glutenite reservoir, alluvial fan, diagenesis, UpperWuerhe Formation, Junggar Basin

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