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

  • Jiekun Song
  • Jiepeng Song
  • Yu Zhang
  • Zaixu Zhang
  • Shuiqing Fan
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5552)

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.

Keywords

Oilfield measures fuzzy chance-constrained goal programming model hybrid intelligent algorithm sensitivity analysis 

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References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Jiekun Song
    • 1
  • Jiepeng Song
    • 2
  • Yu Zhang
    • 3
  • Zaixu Zhang
    • 1
  • Shuiqing Fan
    • 1
  1. 1.College of Economics and ManagementChina University of Petroleum(East China)DongyingChina
  2. 2.Kewen InstituteXuzhou Normal UniversityXuzhouChina
  3. 3.Financial Assets Center of Dongxin Unit, Shengli OilfieldDongyingChina

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