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Multi-stage goal programming models for production optimization in the middle and later periods of oilfield development

Author

Listed:
  • Shiwei Yu

    (China University of Geosciences
    University of Delaware)

  • Shuwen Zhang

    (China University of Geosciences)

  • Lawrence Agbemabiese

    (University of Delaware)

  • Fukun Zhang

    (Daqing Oilfield of China National Petroleum Corporation (CNPC))

Abstract

The present paper proposes two weighted goal-programming models for optimizing crude oil production in the middle and later periods of oilfield development. These models divide the oil yield optimization problem into two stages according to the characteristics of Chinese oil companies’ yield compositions. In the first stage, the total planned crude oil yield will be optimized by four sub-yields, while each sub-yield will be allocated optimally among different oil extract plants in the later stage. A case study is conducted to validate the proposed models. The results show that the model can address the annual crude oil yield planning subjectively. Moreover, the proposed model can rationally allocate resources among various extract oil plants and effectively reduce production costs in the context of ensuring planned oil yields.

Suggested Citation

  • Shiwei Yu & Shuwen Zhang & Lawrence Agbemabiese & Fukun Zhang, 2017. "Multi-stage goal programming models for production optimization in the middle and later periods of oilfield development," Annals of Operations Research, Springer, vol. 255(1), pages 421-437, August.
    • Handle: RePEc:spr:annopr:v:255:y:2017:i:1:d:10.1007_s10479-015-1866-9
    DOI: 10.1007/s10479-015-1866-9
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    References listed on IDEAS

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