Application of fuzzy clustering analysis to recognition of reservoir seepage media
Online published: 2012-08-20
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
LU Xinchuan , SHI Ji’an , GE Bing , ZHANG Shuncun . Application of fuzzy clustering analysis to recognition of reservoir seepage media[J]. Lithologic Reservoirs, 2012 , 24(4) : 104 -107 . DOI: 10.3969/j.issn.1673-8926.2012.04.020
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