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Evaluation of enhanced oil recovery methods for mature continental heavy oil fields in China based on geology, technology and sustainability criteria

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  • Yao, Yue
  • Sun, Deqiang
  • Xu, Jin-Hua
  • Wang, Bin
  • Peng, Guohong
  • Sun, Bingmei

Abstract

Enhanced oil recovery (EOR) methods in mature oil fields play an irreplaceable role in supporting the long-term and stable production of crude oil. This study establishes a unified and comparable evaluation index system based on geology, technology and sustainability, re-evaluates the existing EOR projects focused on heavy oil extraction by utilizing hybrid AHP-CRITIC-FCE models, and selects the most efficient, economic, and low-carbon footprint EOR technologies to facilitate the development of mature Chinese heavy oil fields. Three main criteria and nineteen subcriteria are considered in the multi-criteria decision-making system. The weights given to criteria are determined by combining the subjective AHP and objective CRITIC methods. The fuzzy comprehensive evaluation method is adopted to prioritize the performance of the EOR process. Empirical analysis is conducted on seven typical heavy oil technologies. The study finds that geological factors account for the largest proportion, and the top five indicators in terms of weight are buried depth, recovery factor, viscosity, operating cost per tonne of oil and reservoir thickness. Three technologies are recommended for potential future green footprint heavy oil EOR methods. This study combines both expert judgment and field data appraisal to help decision makers better plan the future strategic layout of EOR technology.

Suggested Citation

  • Yao, Yue & Sun, Deqiang & Xu, Jin-Hua & Wang, Bin & Peng, Guohong & Sun, Bingmei, 2023. "Evaluation of enhanced oil recovery methods for mature continental heavy oil fields in China based on geology, technology and sustainability criteria," Energy, Elsevier, vol. 278(PB).
  • Handle: RePEc:eee:energy:v:278:y:2023:i:pb:s0360544223013567
    DOI: 10.1016/j.energy.2023.127962
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    References listed on IDEAS

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    1. Bera, Achinta & Babadagli, Tayfun, 2015. "Status of electromagnetic heating for enhanced heavy oil/bitumen recovery and future prospects: A review," Applied Energy, Elsevier, vol. 151(C), pages 206-226.
    2. Rui, Zhenhua & Wang, Xiaoqing & Zhang, Zhien & Lu, Jun & Chen, Gang & Zhou, Xiyu & Patil, Shirish, 2018. "A realistic and integrated model for evaluating oil sands development with Steam Assisted Gravity Drainage technology in Canada," Applied Energy, Elsevier, vol. 213(C), pages 76-91.
    3. Clinch, J. Peter & Healy, John D., 2001. "Cost-benefit analysis of domestic energy efficiency," Energy Policy, Elsevier, vol. 29(2), pages 113-124, January.
    4. Bao, Yu & Wang, Jingyi & Gates, Ian D., 2016. "On the physics of cyclic steam stimulation," Energy, Elsevier, vol. 115(P1), pages 969-985.
    5. Ho, William & Xu, Xiaowei & Dey, Prasanta K., 2010. "Multi-criteria decision making approaches for supplier evaluation and selection: A literature review," European Journal of Operational Research, Elsevier, vol. 202(1), pages 16-24, April.
    6. Laura Osma & Luis García & Romel Pérez & Carolina Barbosa & Jesús Botett & Jorge Sandoval & Eduardo Manrique, 2019. "Benefit–Cost and Energy Efficiency Index to Support the Screening of Hybrid Cyclic Steam Stimulation Methods," Energies, MDPI, vol. 12(24), pages 1-16, December.
    7. Xueyi Yu & Chi Mu & Dongdong Zhang, 2020. "Assessment of Land Reclamation Benefits in Mining Areas Using Fuzzy Comprehensive Evaluation," Sustainability, MDPI, vol. 12(5), pages 1-20, March.
    8. Wang, Jiang-Jiang & Jing, You-Yin & Zhang, Chun-Fa & Zhao, Jun-Hong, 2009. "Review on multi-criteria decision analysis aid in sustainable energy decision-making," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(9), pages 2263-2278, December.
    9. Vaidya, Omkarprasad S. & Kumar, Sushil, 2006. "Analytic hierarchy process: An overview of applications," European Journal of Operational Research, Elsevier, vol. 169(1), pages 1-29, February.
    10. Dong, Xiaohu & Liu, Huiqing & Chen, Zhangxin & Wu, Keliu & Lu, Ning & Zhang, Qichen, 2019. "Enhanced oil recovery techniques for heavy oil and oilsands reservoirs after steam injection," Applied Energy, Elsevier, vol. 239(C), pages 1190-1211.
    11. Opricovic, Serafim & Tzeng, Gwo-Hshiung, 2004. "Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS," European Journal of Operational Research, Elsevier, vol. 156(2), pages 445-455, July.
    12. Wang, Jingyi & Gates, Ian D., 2021. "Time scales for steam injection and bitumen production in steam-assisted gravity drainage," Energy, Elsevier, vol. 227(C).
    Full references (including those not matched with items on IDEAS)

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