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

Shiwei Yu (), Shuwen Zhang, Lawrence Agbemabiese and Fukun Zhang
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Shiwei Yu: China University of Geosciences
Shuwen Zhang: China University of Geosciences
Lawrence Agbemabiese: University of Delaware
Fukun Zhang: Daqing Oilfield of China National Petroleum Corporation (CNPC)

Annals of Operations Research, 2017, vol. 255, issue 1, No 21, 437 pages

Abstract: 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.

Keywords: Oil production optimization; Goal programming; Production composition; In the middle and later periods (search for similar items in EconPapers)
Date: 2017
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DOI: 10.1007/s10479-015-1866-9

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