Carbon capture and storage (CCS) has been introduced as an effective method for reduction of CO2 emissions to the atmosphere. While different aspects and controlling parameters of geological CO2 sequestration process are well understood, there is still large uncertainty regarding brine/CO2/rock wettability and no model has yet been presented for characterizing the contact angle of brine/CO2/rock system at different environmental conditions. In this study, various intelligent models have been developed for accurate estimation of brine/CO2/rock contact angles. Results demonstrated that the proposed models have the ability to accurately simulate the brine/CO2 wettability behavior for quartz, calcite, feldspar, and mica minerals at different pressures, temperatures and salinities. Additionally, results revealed that adaptive neuro-fuzzy interference system has the best performance compared with the other models and its superiority is shown through statistical and graphical analyses. Afterward, the most effective input parameters on brine/CO2/rock wettability were investigated by employing Monte-Carlo algorithm, which showed that mineral type, salinity and pressure are the most sensitive variables for this process. As wettability can highly affect the residual and structural trapping mechanisms during carbon geo-sequestration, presenting reliable models for estimating brine/CO2/rock wettability is crucial. Therefore, the outcomes of this study can be useful for accurate estimation of these mechanisms capacity.
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