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Storage compliance in coupled CO 2 ‐EOR and storage

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  • Amin Ettehad

Abstract

CO 2 storage compliance refers to the safe and consistent storage of a captured anthropogenic CO 2 slug in an underground geological structure. This paper investigates the storage compliance in coupled CO 2 enhanced oil recovery (EOR) and storage projects. Storage compliance requires an oilfield operator to maintain sufficient CO 2 injection and storage capacities throughout an industrial‐scale CO 2 capture and EOR‐storage operation. We investigate the uncertainty in two operational parameters that may raise a compliance consideration: annual captured CO 2 from the power plant and CO 2 injection loss in the oilfield. The objective is to maintain sufficient CO 2 injection and storage capacities and maximize the economic benefits from the EOR‐storage operation. We formulate and optimize the storage compliance problem using the method of optimization with Monte Carlo simulation. The results show that appropriate adjustment of the water‐alternating‐gas (WAG) ratio increases both the compliance and the economic benefits. Also, a CO 2 storage back‐up in a saline aquifer allows the oilfield operator to implement more profitable EOR‐storage designs. A risk‐seeking operator may practice the saline aquifer back‐up option to simultaneously maximize the benefits and mitigate the risk of storage capacity shortage. Finally, EOR‐storage operation is less efficient than aquifer storage in terms of storage efficiency, and considerably more profitable in terms of tangible economic benefits.

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  • Amin Ettehad, 2014. "Storage compliance in coupled CO 2 ‐EOR and storage," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 4(1), pages 66-80, February.
    • Handle: RePEc:wly:greenh:v:4:y:2014:i:1:p:66-80
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    File URL: http://hdl.handle.net/10.1002/ghg.1382
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    Cited by:

    1. Tapia, John Frederick D. & Lee, Jui-Yuan & Ooi, Raymond E.H. & Foo, Dominic C.Y. & Tan, Raymond R., 2016. "Optimal CO2 allocation and scheduling in enhanced oil recovery (EOR) operations," Applied Energy, Elsevier, vol. 184(C), pages 337-345.
    2. Chen, Siyuan & Liu, Jiangfeng & Zhang, Qi & Teng, Fei & McLellan, Benjamin C., 2022. "A critical review on deployment planning and risk analysis of carbon capture, utilization, and storage (CCUS) toward carbon neutrality," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    3. Abdoli, B. & Hooshmand, F. & MirHassani, S.A., 2023. "A novel stochastic programming model under endogenous uncertainty for the CCS-EOR planning problem," Applied Energy, Elsevier, vol. 338(C).

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