Production Performance Appraisal Rating for Reservoir Management Units Based on Fuzzy Clustering
Joint Authors
Chang, Yan-Rong
Kong, Xin-Hai
Li, An-Qi
Source
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-10-09
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Electronic engineering
Information Technology and Computer Science
Topics
Abstract EN
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.
American Psychological Association (APA)
Li, An-Qi& Chang, Yan-Rong& Kong, Xin-Hai. 2012. Production Performance Appraisal Rating for Reservoir Management Units Based on Fuzzy Clustering. Advances in Fuzzy Systems،Vol. 2012, no. 2012, pp.1-8.
https://search.emarefa.net/detail/BIM-448326
Modern Language Association (MLA)
Li, An-Qi…[et al.]. Production Performance Appraisal Rating for Reservoir Management Units Based on Fuzzy Clustering. Advances in Fuzzy Systems No. 2012 (2012), pp.1-8.
https://search.emarefa.net/detail/BIM-448326
American Medical Association (AMA)
Li, An-Qi& Chang, Yan-Rong& Kong, Xin-Hai. Production Performance Appraisal Rating for Reservoir Management Units Based on Fuzzy Clustering. Advances in Fuzzy Systems. 2012. Vol. 2012, no. 2012, pp.1-8.
https://search.emarefa.net/detail/BIM-448326
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-448326