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Thermal oil recovery from fractured reservoirs: Energy and emissions intensities

Author

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  • Ezeuko, C.C.
  • Gates, I.D.

Abstract

Increasingly, more focus has been placed on recovering heavy oil from fractured reservoirs. The key challenge of these reservoirs is the nature of the rock with its geological and rock-fluid complexities as well as the viscosity of the oil itself and the difficulties of lowering the viscosity of the oil. The research documented here presents an analysis of the energy and emissions impact of thermal (steam-based) oil recovery from naturally fractured carbonate reservoirs. By using a combination of the dual porosity concept and energy balance, the method offers a solid analytical approach to evaluate the ideal performance in terms of both energy utilization and greenhouse gas (GHG) emissions for thermal recovery from naturally fractured reservoirs. The results provide a limit on energy efficiency and emissions when recovering oil from these systems by using steam. The results reveal that the energy efficiency and GHG emissions per unit oil produced should be improved for thermal recovery processes operated in fractured reservoirs.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:energy:v:155:y:2018:i:c:p:29-34
    DOI: 10.1016/j.energy.2018.05.010
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    Citations

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    Cited by:

    1. Yang, Min & Liu, Yishan & Lu, Ning & Chai, Maojie & Wang, Sen & Feng, Qihong & Chen, Zhangxin, 2023. "Integration of ramped temperature oxidation and combustion tube tests for kinetic modeling of heavy oil in-Situ combustion," Energy, Elsevier, vol. 274(C).
    2. Mir, Hamed & Siavashi, Majid, 2022. "Whole-time scenario optimization of steam-assisted gravity drainage (SAGD) with temperature, pressure, and rate control using an efficient hybrid optimization technique," Energy, Elsevier, vol. 239(PC).
    3. Haiyuan Yang & Li Zhang & Ronghe Liu & Xianli Wen & Yongfei Yang & Lei Zhang & Kai Zhang & Roohollah Askari, 2019. "Thermal Conduction Simulation Based on Reconstructed Digital Rocks with Respect to Fractures," Energies, MDPI, vol. 12(14), pages 1-13, July.
    4. Li, Jing & Zhang, Lisong & Yang, Feiyue & Sun, Luning, 2020. "Positive measure and potential implication for heavy oil recovery of dip reservoir using SAGD based on numerical analysis," Energy, Elsevier, vol. 193(C).
    5. Xu, Chengyuan & Yan, Xiaopeng & Kang, Yili & You, Lijun & You, Zhenjiang & Zhang, Hao & Zhang, Jingyi, 2019. "Friction coefficient: A significant parameter for lost circulation control and material selection in naturally fractured reservoir," Energy, Elsevier, vol. 174(C), pages 1012-1025.
    6. Wang, Wenyang & Pang, Xiongqi & Chen, Zhangxin & Chen, Dongxia & Wang, Yaping & Yang, Xuan & Luo, Bing & Zhang, Wang & Zhang, Xinwen & Li, Changrong & Wang, Qifeng & Li, Caijun, 2021. "Quantitative evaluation of transport efficiency of fault-reservoir composite migration pathway systems in carbonate petroliferous basins," Energy, Elsevier, vol. 222(C).
    7. 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.

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