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Optimal scenario design of steam-assisted gravity drainage to enhance oil recovery with temperature and rate control

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  • Baghernezhad, Danial
  • Siavashi, Majid
  • Nakhaee, Ali

Abstract

Steam-assisted gravity drainage (SAGD) is a commonly used thermal enhanced oil recovery (EOR) method in heavy oil reservoirs. Scenario optimizations are conducted with different optimization techniques to determine the optimal steam injection rate and temperature strategies. The performance of standard artificial bee colony (SABC), directed ABC (DABC), generalized pattern search (GPS) and mesh-adaptive direct search (MADS) algorithms were investigated. Also, the effect of initial guess and polling type on the performance of GPS and MADS were analyzed. DABC approaches the global optimum better than other employed algorithms, with a huge number of function evaluations. While, GPS is the fastest algorithm, likely to be trapped in local extrema. To eliminate this issue, the novel multi-region pattern search (MRPS) algorithm is proposed, in which the search space is divided into smaller subregions, each one is searched independently. Hence, search space is more efficiently explored and initial guess dependency is reduced. MRPS algorithm provided similar results to the DABC algorithm while lowering the computational costs up to 93%. MRPS algorithm is successfully applied for a 5-year SAGD scenario optimization. Furthermore, by scenario optimization, SAGD operation could be reduced for 1-year, providing the same NPV as that of the reference case operating for 4-years.

Suggested Citation

  • Baghernezhad, Danial & Siavashi, Majid & Nakhaee, Ali, 2019. "Optimal scenario design of steam-assisted gravity drainage to enhance oil recovery with temperature and rate control," Energy, Elsevier, vol. 166(C), pages 610-623.
    • Handle: RePEc:eee:energy:v:166:y:2019:i:c:p:610-623
    DOI: 10.1016/j.energy.2018.10.104
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    References listed on IDEAS

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    1. Zuloaga, Pavel & Yu, Wei & Miao, Jijun & Sepehrnoori, Kamy, 2017. "Performance evaluation of CO2 Huff-n-Puff and continuous CO2 injection in tight oil reservoirs," Energy, Elsevier, vol. 134(C), pages 181-192.
    2. Ezeuko, C.C. & Gates, I.D., 2018. "Thermal oil recovery from fractured reservoirs: Energy and emissions intensities," Energy, Elsevier, vol. 155(C), pages 29-34.
    3. Olajire, Abass A., 2014. "Review of ASP EOR (alkaline surfactant polymer enhanced oil recovery) technology in the petroleum industry: Prospects and challenges," Energy, Elsevier, vol. 77(C), pages 963-982.
    4. Giacchetta, Giancarlo & Leporini, Mariella & Marchetti, Barbara, 2015. "Economic and environmental analysis of a Steam Assisted Gravity Drainage (SAGD) facility for oil recovery from Canadian oil sands," Applied Energy, Elsevier, vol. 142(C), pages 1-9.
    5. Sun, Fengrui & Li, Chunlan & Cheng, Linsong & Huang, Shijun & Zou, Ming & Sun, Qun & Wu, Xiaojun, 2017. "Production performance analysis of heavy oil recovery by cyclic superheated steam stimulation," Energy, Elsevier, vol. 121(C), pages 356-371.
    6. Pang, Zhan-xi & Wu, Zheng-bin & Zhao, Meng, 2017. "A novel method to calculate consumption of non-condensate gas during steam assistant gravity drainage in heavy oil reservoirs," Energy, Elsevier, vol. 130(C), pages 76-85.
    7. Akbilgic, Oguz & Zhu, Da & Gates, Ian D. & Bergerson, Joule A., 2015. "Prediction of steam-assisted gravity drainage steam to oil ratio from reservoir characteristics," Energy, Elsevier, vol. 93(P2), pages 1663-1670.
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    5. Asadi, Asgar & Zhang, Yaning & Mohammadi, Hassan & Khorand, Hadi & Rui, Zhenhua & Doranehgard, Mohammad Hossein & Bozorg, Mehdi Vahabzadeh, 2019. "Combustion and emission characteristics of biomass derived biofuel, premixed in a diesel engine: A CFD study," Renewable Energy, Elsevier, vol. 138(C), pages 79-89.

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