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Advances in Fuzzy Systems
Volume 2012, Article ID 134068, 8 pages
http://dx.doi.org/10.1155/2012/134068
Research Article

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

1Changqing Oilfield Branch, PetroChina Company Limited, Shanxi, Xi’an 710018, China
2Department of Graduate, Southwest Petroleum University, Sichuan, Chengdu 610500, China

Received 13 July 2012; Accepted 2 September 2012

Academic Editor: Salvatore Sessa

Copyright © 2012 An-Qi Li et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

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.