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Density-Driven CO 2 Dissolution in Depleted Gas Reservoirs with Bottom Aquifers

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  • Xiaocong Lyu

    (State Key Laboratory of Shale Oil and Gas Enrichment Mechanisms and Effective Development, Beijing 102206, China
    SINOPEC Key Laboratory of Carbon Capture, Utilization and Storage, Beijing 102206, China)

  • Fang Cen

    (State Key Laboratory of Shale Oil and Gas Enrichment Mechanisms and Effective Development, Beijing 102206, China
    SINOPEC Exploration & Production Research Institute, Beijing 102206, China)

  • Rui Wang

    (State Key Laboratory of Shale Oil and Gas Enrichment Mechanisms and Effective Development, Beijing 102206, China
    SINOPEC Key Laboratory of Carbon Capture, Utilization and Storage, Beijing 102206, China
    SINOPEC Exploration & Production Research Institute, Beijing 102206, China)

  • Huiqing Liu

    (State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing 102249, China)

  • Jing Wang

    (State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing 102249, China)

  • Junxi Xiao

    (State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing 102249, China)

  • Xudong Shen

    (State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing 102249, China)

Abstract

Depleted gas reservoirs with bottom water show significant potential for long-term CO 2 storage. The residual gas influences mass-transfer dynamics, further affecting CO 2 dissolution and convection in porous media. In this study, we conducted a series of numerical simulations to explore how residual-gas mixtures impact CO 2 dissolution trapping. Moreover, we analyzed the CO 2 dissolution rate at various stages and delineated the initiation and decline of convection in relation to gas composition, thereby quantifying the influence of residual-gas mixtures. The findings elucidate that the temporal evolution of the Sherwood number observed in the synthetic model incorporating CTZ closely parallels that of the single-phase model, but the order of magnitude is markedly higher. The introduction of CTZ serves to augment gravity-induced convection and expedites the dissolution of CO 2 , whereas the presence of residual-gas mixtures exerts a deleterious impact on mass transfer. The escalation of residual gas content concomitantly diminishes the partial pressure and solubility of CO 2 . Consequently, there is an alleviation of the concentration and density differentials between saturated water and fresh water, resulting in the attenuation of the driving force governing CO 2 diffusion and convection. This leads to a substantial reduction in the rate of CO 2 dissolution, primarily governed by gravity-induced fingering, thereby manifesting as a delay in the onset and decay time of convection, accompanied by a pronounced decrement in the maximum Sherwood number. In the field-scale simulation, the injected CO 2 improves the reservoir pressure, further pushing more gas to the producers. However, due to the presence of CH 4 in the post-injection process, the capacity for CO 2 dissolution is reduced.

Suggested Citation

  • Xiaocong Lyu & Fang Cen & Rui Wang & Huiqing Liu & Jing Wang & Junxi Xiao & Xudong Shen, 2024. "Density-Driven CO 2 Dissolution in Depleted Gas Reservoirs with Bottom Aquifers," Energies, MDPI, vol. 17(14), pages 1-17, July.
  • Handle: RePEc:gam:jeners:v:17:y:2024:i:14:p:3491-:d:1436235
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    References listed on IDEAS

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    1. Stuart M. V. Gilfillan & Barbara Sherwood Lollar & Greg Holland & Dave Blagburn & Scott Stevens & Martin Schoell & Martin Cassidy & Zhenju Ding & Zheng Zhou & Georges Lacrampe-Couloume & Chris J. Ball, 2009. "Solubility trapping in formation water as dominant CO2 sink in natural gas fields," Nature, Nature, vol. 458(7238), pages 614-618, April.
    2. Mahmoodpour, Saeed & Amooie, Mohammad Amin & Rostami, Behzad & Bahrami, Flora, 2020. "Effect of gas impurity on the convective dissolution of CO2 in porous media," Energy, Elsevier, vol. 199(C).
    3. Wang, Yang & Voskov, Denis & Khait, Mark & Bruhn, David, 2020. "An efficient numerical simulator for geothermal simulation: A benchmark study," Applied Energy, Elsevier, vol. 264(C).
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