Probabilistic Assessment of Above Zone Pressure Predictions at a Geologic Carbon Storage Site.

摘要: Carbon dioxide (CO2) storage into geological formations is regarded as an important mitigation strategy for anthropogenic CO2 emissions to the atmosphere. This study first simulates leakage of and brine from a reservoir through caprock. Then, we estimate resulting pressure changes at zone overlying caprock also known Above Zone Monitoring Interval (AZMI). A data-driven approach arbitrary Polynomial Chaos (aPC) Expansion then used quantify uncertainty in above prediction based on uncertainties different geologic parameters. Finally, global sensitivity analysis performed with Sobol indices aPC technique determine relative importance parameters prediction. The results indicate that there can be locally around zones. degree such depends quality site specific information available analysis. scientific this provide substantial insight need site-specific data efficient predictions risks associated activities. presented basis optimized monitoring network design carbon sites.