Fuzzy Chance-Constrained Goal Programming Model and Algorithm of Oilfield Measures

  • Authors:

  • Jiekun Song;Jiepeng Song;Yu Zhang;Zaixu Zhang;Shuiqing Fan

  • Affiliations:

  • College of Economics and Management, China University of Petroleum(East China), Dongying, China 257061;Kewen Institute, Xuzhou Normal University, Xuzhou, China 221116;Financial Assets Center of Dongxin Unit, Shengli Oilfield, Dongying, China 257091;College of Economics and Management, China University of Petroleum(East China), Dongying, China 257061;College of Economics and Management, China University of Petroleum(East China), Dongying, China 257061

  • Venue:
  • ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part II
  • Year:
  • 2009

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Abstract

Measures programming is an important way for improving the effect of measures of oil fields. Based on the theory of fuzzy chance-constrained goal programming, a fuzzy chance-constrained goal programming model is put forward for measures programming of Oilfield, which uses the increasing production and cost as objectives. The process of its hybrid intelligent algorithm including fuzzy simulation, genetic algorithm and neural network is provided, and the sensitivity analysis on uncertain factors to determine the influence on the optimal result can also be carried on. Finally, an example is given to illustrate the validity of the model and approach.