Evaluating CO2 storage strategies in saline aquifer: A simulation study on pressure, rate, and duration

• Autorzy: Le Nguyen Hai Nam , Cao Minh Huy

Identyfikatory

DOI

10.29227/IM-2025-01-02-049

• Konferencja: CESD 2024 : Conference on Earth Sciences : November 11th, 2024, Ho Chi Minh City, Vietnam
• Języki publikacji: EN

Abstrakty

EN

Carbon capture and storage (CCS) is a crucial strategy in reducing global CO2 emissions, with previous studies indicating it could contribute up to 20% of the necessary reductions by 2050. This paper presents a two-dimensional simulation model developed using CMG-GEM to evaluate CO2 storage potential in a saline aquifer. Seven scenarios were explored: varying injection pressures (15,000, 20,000, and 25,000 kPa), injection rates (5,000, 10,000, and 20,000 m³/day), and injection periods (1, 10, and 20 years). The model incorporated four CO2 trapping mechanisms: structural, residual gas, solubility, and mineral trapping. Results show higher pressures, increased injection rates, and extended injection periods generally improved CO2 storage. The optimal conditions were an injection pressure of 20,000 kPa, a rate of 10,000 m³/day, and a 20-year injection period, which struck the best balance between storage efficiency and operational feasibility. Over the 100-year simulation, the 20-year injection period achieved the highest CO2 mineralization. While structural and residual trapping was dominant early on, mineral trapping became increasingly important in the long term, highlighting the effectiveness of these mechanisms for CO2 sequestration in saline aquifers.

Słowa kluczowe

EN

CO2 sequestration; CMG-GEM; CO2 trapping mechanism

PL

sekwestracja CO2; CMG-GEM; mechanizm wychwytywania CO2

• Wydawca: Polskie Towarzystwo Przeróbki Kopalin
• Czasopismo: Inżynieria Mineralna
• Rocznik: 2025
• Tom: Vol. 2, no. 1
• Strony: art. no. 49
• Opis fizyczny: Bibliogr. 11 poz., rys., tab., wykr.

Twórcy

autor

Le Nguyen Hai Nam

• Faculty of Geology and Petroleum Engineering, Ho Chi Minh City University of Technology, Ho Chi Minh City, Vietnam
• Vietnam National University Ho Chi Minh City, Linh Xuan Ward, Ho Chi Minh City, Vietnam

autor

Cao Minh Huy

• Faculty of Geology and Petroleum Engineering, Ho Chi Minh City University of Technology, Ho Chi Minh City, Vietnam
• Vietnam National University Ho Chi Minh City, Linh Xuan Ward, Ho Chi Minh City, Vietnam

Bibliografia

• 1. Rackley, S. A. Carbon Capture and Storage.
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• 3. Bachu, S., Bonijoly, D., Bradshaw, J., Burruss, R., Holloway, S., Christensen, N. P., and Mathiassen, O. M. “CO2 storage capacity estimation: Methodology and gaps.” International Journal of Greenhouse Gas Control, Vol. 1, No. 4, (2007), 430–443. https://doi.org/10.1016/S1750-5836(07)00086-2
• 4. Watney, W. L., and Survey, K. G. “W. Lynn Watney & Jason Rush (Joint PIs) Jennifer Raney* (Asst. Project Manager) Kansas Geological Survey,” (2014).
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• 6. Hassan Baabbad, H. K., Artun, E., and Kulga, B. “Understanding the Controlling Factors for CO2Sequestration in Depleted Shale Reservoirs Using Data Analytics and Machine Learning.” ACS Omega, Vol. 7, No. 24, (2022), 20845–20859. https://doi.org/10.1021/acsomega.2c01445
• 7. Amini, S., Mohaghegh, S., Gaskari, R., and Bromhal, G. “Uncertainty analysis of a CO2 sequestration project using surrogate reservoir modeling technique.” Society of Petroleum Engineers Western Regional Meeting 2012, (2012), 557–566. https://doi.org/10.2118/153843-ms
• 8. http://www.ghbook.ir/index.php?name= های رسانه و فرهنگ نوین&option=com_dbook&task=readonline&book_id=13650&page=73&chkhashk=ED9C9491B4&Itemid=218&lang=fa&tmpl=component
• 9. Rawangphai, M., and Maneeintr, K. “Potential of carbon dioxide storage from petroleum industries in the Gulf of Thailand for green production.” IOP Conference Series: Earth and Environmental Science, Vol. 140, No. 1, (2018). https://doi.org/10.1088/1755-1315/140/1/012025
• 10. Valluri, M., Mishra, S., and Ravi Ganesh, P. “Injectivity index: a powerful tool for characterizing CO2 storage reservoirs—a technical note.” Greenhouse Gases: Science and Technology, Vol. 11, No. 2, (2021), 251–265. https://doi.org/10.1002/ghg.2046
• 11. Liu, S., Agarwal, R., and Sun, B. “Numerical Simulation and Optimization of CO2-Enhanced Gas Recovery in Homogeneous and Vertical Heterogeneous Reservoir Models.” Journal of Energy Resources Technology, Transactions of the ASME, Vol. 144, No. 3, (2022). https://doi.org/10.1115/1.4053299

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki i promocja sportu (2026).