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Proceedings Papers

A Deep Learning-Based Surrogate Model for Rapid Assessment of Geomechanical Risks in Geologic CO2 Storage

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Fangning Zheng, Birendra Jha, Behnam Jafarpour
Paper presented at the SPE/AAPG/SEG Carbon, Capture, Utilization, and Storage Conference and Exhibition, March 11–13, 2024
Paper Number: SPE-CCUS-2024-4003166
https://doi.org/10.15530/ccus-2024-4003166
... Abstract Simulating CO 2 storage under geomechanical risks frequently involves substantial computational costs due to the coupling between multiphase flow and geomechanics. Implementing standard workflows, such as well location optimization, with such coupled physics models can significantly...
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