Reactive Transport Modelling of Carbon Mineralization – a Machine Learning-based approach

The goal of this work is to apply and further develop technology based on Supervised Machine Learning algorithms to drastically boost the efficiency of reactive transport models of carbon mineralization through injection of CO2-charged seawater into basaltic rocks.