Development of machine learning models aimed at pattern identification, incorporating constraints and principles derived from physical laws.

Application of the Dynamic Mode Decomposition (DMD) technique to identify and understand coherent structures (or modes) that dominate the spatial and temporal behavior of a fluid flow.

Application of numerical methods (such as finite differences, finite volumes, and finite elements) for the simulation of transport phenomena, including fluid dynamics and heat transfer.

Computational representation of the physical and geological characteristics of oil wells.