Application of AHP and Fuzzy Multi-Objective Programming to Oilfield Development

Author

Chen, Chen ; Ji, Xiaoyu ; Chen, Xi

Author_Institution

Sch. of Bus., Renmin Univ. of China, Beijing, China

fYear

2009

fDate

20-22 Sept. 2009

Firstpage

1

Lastpage

4

Abstract

Oilfield development plan is an important issue to energy exploitation. In addition to the deterministic and stochastic models brought forward in the past studies, this paper proposes a multi-objective programming model for oilfield development plan, in which parameters are fuzzy variables. In order to solve this model, we use AHP to weigh objective functions and design a hybrid intelligent algorithm integrating fuzzy simulation and genetic algorithm. A numerical example is given to illustrate the validity and effectiveness of multi-objective fuzzy programming model and its algorithm.

Keywords

fuzzy set theory; genetic algorithms; mathematical programming; petroleum industry; stochastic processes; AHP; fuzzy multi-objective programming; fuzzy simulation; fuzzy variables; genetic algorithm; hybrid intelligent algorithm; oilfield development; stochastic models; Appraisal; Business communication; Costs; Genetic algorithms; Linear programming; Mathematical model; Petroleum; Production; Stochastic processes; Water resources;

fLanguage

English

Publisher

ieee

Conference_Titel

Management and Service Science, 2009. MASS '09. International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-4638-4

Electronic_ISBN

978-1-4244-4639-1

Type

conf

DOI

10.1109/ICMSS.2009.5303913

Filename

5303913