Machine Learning approach to characterize reservoir heterogeneities in carbonate systems

The aim of this PhD project is to investigate the ability of machine learning to improve the identification of the factors impacting the dynamic behavior of carbonate reservoirs by integrating a comprehensive set of multiple scales and multiple types of data acquired over decades on an identified hydrocarbon carbonate reservoir.