Enhancing Data Acquisition to Improve Static Modeling of Carbon Sinks

Climate change poses a significant threat to our planet, and Carbon Capture and Storage (CCS) is a crucial solution, but to ensure the safe and effective storage of CO2, accurate models of the underground storage area are essential. However, a major challenge in CCS modeling is the limited availability of data, which amplifies uncertainty and hinders the development of reliable models. Our workflow outlines the key milestones and objectives across various modeling phases, highlighting the primary uncertainty ranges and required data collection, demonstrating how the modeling process evolves from an initial phase with high uncertainty to a more advanced model with reduced uncertainty as data is acquired. This approach will be illustrated through a real-world case study of a carbonate sink in Saudi Arabia, showcasing the key findings and outcomes of each phase, and providing valuable insights into the CCS modeling process, ultimately highlighting the importance of accurate modeling, the challenges posed by limited data availability, and the evolution of the modeling process from high to low uncertainty.