The Subsurface Energy and Environmental Systems (SEES) lab at USC focuses on integrating advanced system-theoretical principles and machine learning algorithms with insight from modeling and prediction of multiphase fluid flow and transport processes in geologic formations to develop scientifically rigorous and practical methods for efficient recovery and utilization of the subsurface energy, water, and environmental resources.

Our research transcends traditional disciplinary boundaries across Applied Mathematics, Computational Geosciences, Hydrogeology, Reservoir Engineering, and Estimation and Control in Dynamical Systems to develop innovative solutions to challenging problems that are encountered in effectively harnessing subsurface energy and water resources while mitigating the environmental safety and health impacts of their development and use. At the Viterbi School of Engineering, we are affiliated with the Mork Family Department of Chemical Engineering and Materials Science, Ming Hsieh Departmental of Electrical Engineering, and Sonny Astani Departmental of Civil and Environmental Engineering.

A current research focus in our lab is integrating state-of-the-art data science and deep learning techniques with engineering insights and physical laws of flow and transport in porous media to develop efficient fit-for-purpose prediction and decision support tools for effective and safe development and operation of subsurface energy and environmental systems.