Optimizing Carbon Storage Operations for Long-Term Safety

Understand

To combat global warming and mitigate the risks associated with climate change, carbon capture and storage (CCS) has emerged as a crucial technology.

• However, safely sequestering CO2 in geological formations for long-term storage presents several challenges.
• In this study, we address these issues by modeling the decision-making process for carbon storage operations as a partially observable Markov decision process (POMDP).
• We solve the POMDP using belief state planning to optimize injector and monitoring well locations, with the goal of maximizing stored CO2 while maintaining safety.