In order to achieve a quantitative assessment of the influence of the various study parameters, the work will take place in parallel in terms of separation and modeling and modeling of fluids, taking into account the geological storage and EOR technique scenarios.
Task 1- Currently, Prof Moisés Pinto's group is developing research in the study of adsorbent materials that can remove CO2 from the mixtures under study. There are already some models of cyclic separation systems (by “pressure swing adsorption”) optimized for CO2 separation. The student will begin with some of these initial hypotheses to understand the influence of typical contaminants from chimney gas and natural gas on the performance of separation systems.
Task 2- In parallel, three-dimensional numerical models representing different geological environments will be built (i.e., with a spatial description of the properties of the subsurface rocks). Fluid models will also be created that represent the CO2 characterized in the previous task. The different models (static and fluid) will be evaluated in order to obtain the response of different geological systems for different types of CO2. Dynamic modeling of the subsurface has been one of the topics developed by Leonardo Azevedo's work team.
Task 3- Finally, data science techniques will be applied for the quantitative analysis of which CO2 parameters are most relevant and impacting them for the geological storage of CO2 and as an EOR technique in different geological environments.