CO2-Foam Monitoring using Resistivity and Pressure Measurements

This paper focuses on combining resistivity and pressure measurements to determine the effectiveness of foam as a mobility control method. It presents theoretical framework describe expected changes during CO2-foam displacements. With this objective, we first provide equations estimate for systems then utilize two distinct models quantify these effects. Using analytical solutions based fractional flow theory, present distributions ideal non-ideal reservoir displacement scenarios. Additionally, assuming only, examine inter-dependency between various parameters. Our results suggest that combination in time-lapse mode could be deployed an effective monitoring tool field applications (CO2) processes. The proposed method is novel it employed predict under-performing floods improve oil recovery CO2 storage.