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

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Advances in Neural Networks – ISNN 2009 (ISNN 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5552))

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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.

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References

  1. Chen, Y., Gai, Y., Fan, H.: Mathematics Models for Measure Programming of Oil Field. Mathematics in Economics 17, 45–51 (2000)

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  2. Zhang, Z., Hou, F., Jiang, M.: A Goal Programming Model of Optimal Decision in Oilfield Development. Journal of the University of Petroleum of China (edition of natural science) 24(6), 87–90 (2000)

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  3. Xie, X., Liu, Z., Du, Y.: The Modeling and Application of Planning Measurement and Structure Optimization of Oilfield Production. Journal of Southwest Petroleum University 26(2), 11–14 (2004)

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  4. Song, J., Zhang, Z., Zhang, Y.: A Stochastic Chance-Constrained Programming Model of Measures for Increasing Output of Oilfield. In: The 3rd Uncertain System Annual Meeting Collection, pp. 263–267. Global-Link Publisher, Hong Kong (2005)

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  5. Song, J., Zhang, Z., Zhang, Y.: Fuzzy Expected Value Model of Oilfield Measures Planning. Journal of Xi’an Shiyou University (Natural Science) 21(3), 106–108 (2006)

    Google Scholar 

  6. Liu, B., Iwamura, K.: Chance Constrained Programming With Fuzzy Parameters. Fuzzy Sets and Systems 94(2), 227–237 (1998)

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© 2009 Springer-Verlag Berlin Heidelberg

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Song, J., Song, J., Zhang, Y., Zhang, Z., Fan, S. (2009). Fuzzy Chance-Constrained Goal Programming Model and Algorithm of Oilfield Measures. In: Yu, W., He, H., Zhang, N. (eds) Advances in Neural Networks – ISNN 2009. ISNN 2009. Lecture Notes in Computer Science, vol 5552. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01510-6_6

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  • DOI: https://doi.org/10.1007/978-3-642-01510-6_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01509-0

  • Online ISBN: 978-3-642-01510-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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