Production Performance Appraisal Rating for Reservoir Management Units Based on Fuzzy Clustering

In view of the existing situation of oilfield development, one kind of method to evaluate the production performance of reservoir management units (RMUs) was presented in this paper. Among the commonly used indicators of oilfield development, select 12 indicators from the three aspects of production...

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Bibliographic Details
Published in:Advances in fuzzy systems 2012-01, Vol.2012 (2012), p.1-8
Main Authors: Li, An-Qi, Kong, Xin-Hai, Chang, Yan-Rong
Format: Article
Language:English
Subjects:
Fuzzy
Fuzzy logic
Fuzzy set theory
Fuzzy systems
Indicators
Industrial applications
Management
Mathematical models
Oil exploration
Oil field equipment
Oil wells
Performance appraisal
Petroleum industry
Petroleum production
Reservoirs
Studies
التطبيقات الصناعية
النماذج الرياضية
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Summary:In view of the existing situation of oilfield development, one kind of method to evaluate the production performance of reservoir management units (RMUs) was presented in this paper. Among the commonly used indicators of oilfield development, select 12 indicators from the three aspects of production task, production technology, and reservoir development. According to the principle of fuzzy analytic hierarchy process (FAHP), this paper introduced one kind of new method to get the weights of indicators. By means of the method of TOPSIS, it is easy to obtain the rankings for all the RMUs through calculating the weighted Euclidean distance between each RMU and the positive or negative ideal RMU. Considering the gap between the differences in RMUs, the production performance appraisal ratings of RMUs are determined by fuzzy clustering. This evaluation method could constantly improve the management level of reservoir units and deepen the delicacy management of oilfield development.
ISSN:1687-7101
1687-711X
DOI:10.1155/2012/134068