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Production and distribution planning in petroleum supply chains regarding the impacts of gas injection and swap

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  • Farahani, Mohsen
  • Rahmani, Donya

Abstract

Nowadays, the optimization of different sectors of petroleum industry, including recovery, production and distribution is of great interest to researchers. In this paper a mixed integer linear programming (MILP) model is presented to maximize the net present value (NPV) of a crude oil network. The model includes production planning, facility location-allocation, and distribution planning. The impact of gas injection and swap is considered simultaneously in the proposed model innovatively. Gas injection into oil reservoirs is one of the most essential factors in the protection of oil reserves and one of the strategies for sustainable production. Associated petroleum gas (APG) is re-injected into gas injection well to enhance oil recovery. Also, applying the oil swap helps to reduce oil distribution costs. A petroleum network in Iran is studied to demonstrate the model performance and validity. The computational results demonstrate the efficiency and the sensitivity analysis of important parameters and consideration of impact of the mentioned items on long-term profits is investigated in large scale simulate problems.

Suggested Citation

  • Farahani, Mohsen & Rahmani, Donya, 2017. "Production and distribution planning in petroleum supply chains regarding the impacts of gas injection and swap," Energy, Elsevier, vol. 141(C), pages 991-1003.
    • Handle: RePEc:eee:energy:v:141:y:2017:i:c:p:991-1003
    DOI: 10.1016/j.energy.2017.10.013
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    References listed on IDEAS

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    1. Moradi Nasab, N. & Amin-Naseri, M.R., 2016. "Designing an integrated model for a multi-period, multi-echelon and multi-product petroleum supply chain," Energy, Elsevier, vol. 114(C), pages 708-733.
    2. Bjørn Nygreen & Marielle Christiansen & Kjetil Haugen & Thor Bjørkvoll & Øystein Kristiansen, 1998. "Modeling Norwegian petroleum productionand transportation," Annals of Operations Research, Springer, vol. 82(0), pages 251-268, August.
    3. Hamedi, Maryam & Zanjirani Farahani, Reza & Husseini, Mohammad Moattar & Esmaeilian, Gholam Reza, 2009. "A distribution planning model for natural gas supply chain: A case study," Energy Policy, Elsevier, vol. 37(3), pages 799-812, March.
    4. Duarte, Alexandra E. & Sarache, William A. & Costa, Yasel J., 2014. "A facility-location model for biofuel plants: Applications in the Colombian context," Energy, Elsevier, vol. 72(C), pages 476-483.
    5. Guajardo, Mario & Kylinger, Martin & Rönnqvist, Mikael, 2013. "Speciality oils supply chain optimization: From a decoupled to an integrated planning approach," European Journal of Operational Research, Elsevier, vol. 229(2), pages 540-551.
    6. Kazemi, Yasaman & Szmerekovsky, Joseph, 2015. "Modeling downstream petroleum supply chain: The importance of multi-mode transportation to strategic planning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 83(C), pages 111-125.
    7. Pongsakdi, Arkadej & Rangsunvigit, Pramoch & Siemanond, Kitipat & Bagajewicz, Miguel J., 2006. "Financial risk management in the planning of refinery operations," International Journal of Production Economics, Elsevier, vol. 103(1), pages 64-86, September.
    8. Gothe-Lundgren, Maud & T. Lundgren, Jan & A. Persson, Jan, 2002. "An optimization model for refinery production scheduling," International Journal of Production Economics, Elsevier, vol. 78(3), pages 255-270, August.
    9. J. S. Aronofsky & A. C. Williams, 1962. "The Use of Linear Programming and Mathematical Models in Under-Ground Oil Production," Management Science, INFORMS, vol. 8(4), pages 394-407, July.
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    Cited by:

    1. Jahani, Hamed & Abbasi, Babak & Sheu, Jiuh-Biing & Klibi, Walid, 2024. "Supply chain network design with financial considerations: A comprehensive review," European Journal of Operational Research, Elsevier, vol. 312(3), pages 799-839.

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