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Selecting Geological Formations for CO 2 Storage: A Comparative Rating System

Author

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  • Muhammad Hammad Rasool

    (Petroleum Geosciences Department, Universiti Teknologi Petronas, Seri Iskandar 32610, Malaysia)

  • Maqsood Ahmad

    (Petroleum Geosciences Department, Universiti Teknologi Petronas, Seri Iskandar 32610, Malaysia)

  • Muhammad Ayoub

    (Chemical Engineering Department, Universiti Teknologi Petronas, Seri Iskandar 32610, Malaysia)

Abstract

Underground storage of carbon dioxide (CO 2 ) in geological formations plays a vital role in carbon capture and storage (CCS) technology. It involves capturing CO 2 emissions from industrial processes and power generation and storing them underground, thereby reducing greenhouse gas emissions and curbing the impact of climate change. This review paper features a comparative analysis of CO 2 storage in deep saline aquifers, depleted reservoirs, coal seams, basaltic formations and clastic formations. The comparison has been drawn based upon seven factors carefully selected from the literature, i.e., safety, storage capacity, injection rates, efficiency, residual trapping, containment and integrity and potential to improve, and all of these factors have been rated from low (1) to high (5) based upon their individual traits. Based upon these factors, an overall M.H. rating system has been developed to categorize geological formations for CO 2 storage and it is observed that deep water aquifers and basaltic formations are the most effective options for CO 2 storage. Lastly, a detailed way forward has been suggested, which can help researchers and policymakers to find more viable ways to enhance the efficiency of CO 2 storage in various geological formations.

Suggested Citation

  • Muhammad Hammad Rasool & Maqsood Ahmad & Muhammad Ayoub, 2023. "Selecting Geological Formations for CO 2 Storage: A Comparative Rating System," Sustainability, MDPI, vol. 15(8), pages 1-39, April.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:8:p:6599-:d:1122714
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    References listed on IDEAS

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    1. Liu, Yueliang & Rui, Zhenhua & Yang, Tao & Dindoruk, Birol, 2022. "Using propanol as an additive to CO2 for improving CO2 utilization and storage in oil reservoirs," Applied Energy, Elsevier, vol. 311(C).
    2. Kou, Zuhao & Wang, Tongtong & Chen, Zhuoting & Jiang, Jincheng, 2021. "A fast and reliable methodology to evaluate maximum CO2 storage capacity of depleted coal seams: A case study," Energy, Elsevier, vol. 231(C).
    3. Danqing Liu & Yilian Li & Ramesh Agarwal, 2020. "Evaluation of CO 2 Storage in a Shale Gas Reservoir Compared to a Deep Saline Aquifer in the Ordos Basin of China," Energies, MDPI, vol. 13(13), pages 1-18, July.
    4. Alain Bonneville & Essam Heggy & Christopher Strickland & Jonathan Normand & Jeffrey Dermond & Yilin Fang & Charlotte Sullivan, 2015. "Geophysical Monitoring of Ground Surface Deformation Associated with a Confined Aquifer Storage and Recovery Operation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(13), pages 4667-4682, October.
    5. Withey, Patrick & Johnston, Craig & Guo, Jinggang, 2019. "Quantifying the global warming potential of carbon dioxide emissions from bioenergy with carbon capture and storage," Renewable and Sustainable Energy Reviews, Elsevier, vol. 115(C).
    6. Yi-Ming Wei & Jia-Ning Kang & Lan-Cui Liu & Qi Li & Peng-Tao Wang & Juan-Juan Hou & Qiao-Mei Liang & Hua Liao & Shi-Feng Huang & Biying Yu, 2021. "A proposed global layout of carbon capture and storage in line with a 2 °C climate target," Nature Climate Change, Nature, vol. 11(2), pages 112-118, February.
    7. Stacy‐ann Robinson, 2020. "Climate change adaptation in SIDS: A systematic review of the literature pre and post the IPCC Fifth Assessment Report," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 11(4), July.
    8. Kim, Youngmin & Jang, Hochang & Kim, Junggyun & Lee, Jeonghwan, 2017. "Prediction of storage efficiency on CO2 sequestration in deep saline aquifers using artificial neural network," Applied Energy, Elsevier, vol. 185(P1), pages 916-928.
    9. Vo Thanh, Hung & Lee, Kang-Kun, 2022. "Application of machine learning to predict CO2 trapping performance in deep saline aquifers," Energy, Elsevier, vol. 239(PE).
    10. Callas, Catherine & Saltzer, Sarah D. & Steve Davis, J. & Hashemi, Sam S. & Kovscek, Anthony R. & Okoroafor, Esuru R. & Wen, Gege & Zoback, Mark D. & Benson, Sally M., 2022. "Criteria and workflow for selecting depleted hydrocarbon reservoirs for carbon storage," Applied Energy, Elsevier, vol. 324(C).
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