Abstract
Carbon dioxide (CO2) capture and storage (CCS) is presented as an alternative measure and promising approach to mitigate large-scale anthropogenic CO2 emissions into the atmosphere. In this context, CO2 sequestration into depleted oil reservoirs is a practical approach, as it boosts the oil recovery and facilitates the permanent storing of CO2 into the candidate sites. However, the estimation of CO2 storage capacity in the subsurface is a challenge to kick-start CCS worldwide. Thus, this paper proposes an integrated static and dynamic modeling framework to tackle the challenge of CO2 storage capacity in the Upper Qishn Formation of the S1A reservoir in the Masila Basin, Yemen. To achieve this work's ultimate goal, the geostatistical modeling was integrated with open-source code (MRST-CO2lab) for reducing the uncertainty assessment of CO2 storage capacity. Also, there is a significant difference between static and dynamic CO2 storage capacity. The static CO2 storage capacity varies from 4.54 to 81.98 million tons, while the dynamic CO2 simulation is estimated from 4.95 to 17.92 million tons. Based on the geological uncertainty assessment of three ranked realizations (P10, P50, P90), our work found that the Upper Qishn sequence of the S1A reservoir could store 15.64 million tons without leakage. This finding demonstrates that the S1A reservoir has the potential for geological CO2 storage. Ultimately, this study proposes a useful modeling framework that is easy to adapt for other reservoirs in the Masila Basin in Yemen.
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AlRassas, A.M., Vo Thanh, H., Ren, S. et al. Integrated static modeling and dynamic simulation framework for CO2 storage capacity in Upper Qishn Clastics, S1A reservoir, Yemen. Geomech. Geophys. Geo-energ. Geo-resour. 8, 2 (2022). https://doi.org/10.1007/s40948-021-00305-x
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DOI: https://doi.org/10.1007/s40948-021-00305-x