Method of a Fuzzy Cluster Analysis to Evaluate Microbial Enhanced Oil Recovery

CSNT '12 Proceedings of the 2012 International Conference on Communication Systems and Network Technologies(2012)

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摘要
Fuzzy clustering analysis is a widely used fuzzy mathematics method ,which could be applied in various fields. Based on the fuzzy set theory, application of fuzzy clustering analysis in microbial enhanced oil recovery (MEOR) was studied. At first, strains which had ability to produce biosurfactant were selected as part of the statistical indicators. Then data were corrected and standardized by empirical formula. Similarity matrix was established with angle cosine. After that, clustering analysis was made and evaluated by Transitive Closure. Finally, the strain which had the best adaptability to the oilfield conditions was chosen by fuzzy cluster analysis. And so the optimal choice mechanism was established.
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关键词
evaluate microbial enhanced oil,fuzzy set theory,fuzzy mathematics method,fuzzy cluster analysis,best adaptability,clustering analysis,empirical formula,transitive closure,microbial enhanced oil recovery,fuzzy clustering analysis,angle cosine,indexation,biotechnology,surface tension,cluster analysis,indexes,fuzzy clustering,reservoirs,microorganisms,strain,petroleum
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