TY - CONF
T1 - Fractured Caprock Failure Criterion in the Context of Underground CO2 Storage
AU - Mesquita, Rafael
AU - Inskip, Nathaniel Forbes
AU - Doster, Florian
AU - Busch, Andreas
PY - 2024/11/4
Y1 - 2024/11/4
N2 - Carbon capture and storage (CCS) is a vital technology for reducing greenhouse gas emissions, especially CO2, which is largely produced by industrial and energy sectors. A significant challenge in CCS is identifying geological formations that can safely store carbon over long periods of time, as features like faults or natural fractures can complicate storage operations. This work proposes a methodology to refine the Mohr-Coulomb failure criterion for fractured rocks and explore alternative failure criteria through triaxial tests, acoustic emission monitoring, X-ray micro-CT imaging, and coupled thermal, fluid flow, and geomechanical numerical experiments. By understanding the variations in cohesion and internal friction under different conditions, we can enhance predictive modelling and improve CCS strategies. The integration of laboratory data with numerical models will help optimize CO2 storage, ensuring safer and more efficient operations.
AB - Carbon capture and storage (CCS) is a vital technology for reducing greenhouse gas emissions, especially CO2, which is largely produced by industrial and energy sectors. A significant challenge in CCS is identifying geological formations that can safely store carbon over long periods of time, as features like faults or natural fractures can complicate storage operations. This work proposes a methodology to refine the Mohr-Coulomb failure criterion for fractured rocks and explore alternative failure criteria through triaxial tests, acoustic emission monitoring, X-ray micro-CT imaging, and coupled thermal, fluid flow, and geomechanical numerical experiments. By understanding the variations in cohesion and internal friction under different conditions, we can enhance predictive modelling and improve CCS strategies. The integration of laboratory data with numerical models will help optimize CO2 storage, ensuring safer and more efficient operations.
U2 - 10.3997/2214-4609.202421053
DO - 10.3997/2214-4609.202421053
M3 - Abstract
ER -