Real-time high-resolution CO$_2$ geological storage prediction using nested Fourier neural operators

Understand

Carbon capture and storage (CCS) plays an essential role in global decarbonization.

• Scaling up CCS deployment requires accurate and high-resolution modeling of the storage reservoir pressure buildup and the gaseous plume migration.
• However, such modeling is very challenging at scale due to the high computational costs of existing numerical methods.
• This challenge leads to significant uncertainties in evaluating storage opportunities, which can delay the pace of large-scale CCS deployment.