Bridging the Data Gap: CO2 Storage Evaluation in Saline Aquifers through Integrated Static and Dynamic Scenarios

Carbon storage in geological formations is widely regarded as a critical technology for carbon abatement. In depleted hydrocarbon fields, with their extensive and well-documented subsurface data, offer a more predictable and straightforward approach to CO2 sequestration; however, the situation is far more complex when it comes to saline aquifers.

These saline aquifer formations are often characterized by a stark lack of high-quality subsurface data, making it exceptionally difficult to evaluate their CO2 storage potential with any degree of certainty. The challenge is compounded by the geological variability of aquifers, which can vary significantly over short distances, further obscuring accurate resource estimation. This data paucity, coupled with substantial geological uncertainty, presents one of the most formidable hurdles in saline aquifer storage maturation.

This abstract presents a methodology designed to address the challenges associated with storage assessment for saline aquifer projects, particularly in situations where there is limited data available. The approach maximizes the utility of sparse subsurface data, multiple realizations, analysis from geosciences to be integrated to enables wide ranges of uncertainty in CO2 storage capacity estimation at lead or prospect level. Additionally, the sensitivity results will help identify key risks that require data to be acquired from the appraisal wells.