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Analysis of CO 2 Migration in Horizontal Saline Aquifers during Carbon Capture and Storage Process

Author

Listed:
  • Sergey Fominykh

    (NIS a.d. Novi Sad, 21102 Novi Sad, Serbia)

  • Stevan Stankovski

    (Faculty of Technical Science, University of Novi Sad, 21000 Novi Sad, Serbia)

  • Vladimir M. Markovic

    (Faculty of Science, University of Kragujevac, 34000 Kragujevac, Serbia)

  • Dusko Petrovic

    (College of Applied Studies of Organization “EDUKA”, 11000 Belgrade, Serbia)

  • Sead Osmanović

    (Faculty of Economics, Technical University of Kosice, 04200 Kosice, Slovakia)

Abstract

The storage of CO 2 has become an important worldwide problem, considering that an excess of CO 2 in the Earth’s atmosphere causes dramatic changes in its climate. One possible solution is to remove the excess of CO 2 from the atmosphere, capture it in the process of creation, and store it safely, negating the possibility of its return into the atmosphere. This is the process of Carbon Capture and Storage (CCS). In the following paper, the authors investigate horizontal saline aquifers and their ability to store CO 2 . The authors’ application of sensitivity analysis on horizontal migrations uncovered that CO 2 permeability and aquifer porosity have a considerable impact on horizontal migrations. During the migration process, CO 2 can reach tens of kilometers from its injection point. By introducing effective CO 2 density to the conduction velocity term, the authors showcase that the convection-diffusion equation for compressible fluids can be replaced with the equation for incompressible fluids. The buoyancy factor in convective velocity is as density dependent as in conduction velocity. By means of introducing an effective density to the aforementioned term, the process of transport via variable convective velocity can be substituted for a process which is effective, constant, and not density dependent.

Suggested Citation

  • Sergey Fominykh & Stevan Stankovski & Vladimir M. Markovic & Dusko Petrovic & Sead Osmanović, 2023. "Analysis of CO 2 Migration in Horizontal Saline Aquifers during Carbon Capture and Storage Process," Sustainability, MDPI, vol. 15(11), pages 1-17, May.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:11:p:8912-:d:1161356
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    References listed on IDEAS

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    1. Rashid Mohamed Mkemai & Gong Bin, 2020. "A modeling and numerical simulation study of enhanced CO2 sequestration into deep saline formation: a strategy towards climate change mitigation," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 25(5), pages 901-927, May.
    2. Chen, Shiyi & Yu, Ran & Soomro, Ahsanullah & Xiang, Wenguo, 2019. "Thermodynamic assessment and optimization of a pressurized fluidized bed oxy-fuel combustion power plant with CO2 capture," Energy, Elsevier, vol. 175(C), pages 445-455.
    3. Wu, Xiao & Wang, Meihong & Liao, Peizhi & Shen, Jiong & Li, Yiguo, 2020. "Solvent-based post-combustion CO2 capture for power plants: A critical review and perspective on dynamic modelling, system identification, process control and flexible operation," Applied Energy, Elsevier, vol. 257(C).
    4. Zhang, Shuai & Zhuang, Yu & Liu, Linlin & Zhang, Lei & Du, Jian, 2019. "Risk management optimization framework for the optimal deployment of carbon capture and storage system under uncertainty," Renewable and Sustainable Energy Reviews, Elsevier, vol. 113(C), pages 1-1.
    5. Jiang, Xi, 2011. "A review of physical modelling and numerical simulation of long-term geological storage of CO2," Applied Energy, Elsevier, vol. 88(11), pages 3557-3566.
    6. Chen, Bailian & Pawar, Rajesh J., 2019. "Characterization of CO2 storage and enhanced oil recovery in residual oil zones," Energy, Elsevier, vol. 183(C), pages 291-304.
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    Cited by:

    1. Jing, Jing & Yang, Yanlin & Cheng, Jianmei & Ding, Zhaojing & Jing, Xianwen, 2024. "Exploring the influences of salinity on CO2 plume migration and storage capacity in sloping formations: A numerical investigation," Energy, Elsevier, vol. 309(C).
    2. Amin Shokrollahi & Afshin Tatar & Abbas Zeinijahromi, 2024. "Advancing CO 2 Solubility Prediction in Brine Solutions with Explainable Artificial Intelligence for Sustainable Subsurface Storage," Sustainability, MDPI, vol. 16(17), pages 1-26, August.

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