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This study demonstrates the 4D gravimetric method as an independent technique to monitor the stored CO2 in deep saline aquifers and assess the amount of mass leaked along permeable faults. We used an innovative approach based on gravity data inversion in terms of Extremely Compact Sources (ECS). This method proved particularly effective for the identification of the distinct contributions associated with the main plume of the stored CO2 and the secondary plume of the leaked gas.
We performed fluid-flow simulations with realistic geological models based on the Kimberlina deep saline aquifer and computed the time-lapse gravity anomalies associated with the formation of the main plume and the CO2 propagation in the shallower layers through geological permeable structures. We show that surface gravity data can clearly identify the development of secondary plumes associated with CO2 upwelling. Importantly, the extremely compact inversion of the gravity data provide accurate estimates of the amount of mass stored and the potential loss rate of CO2 in the presence of permeable faults. These results can be particularly useful in planning reservoir operations, providing valuable information for forecasting future scenarios and managing the injection and post-injection phases.