Our aim in SFC is to develop efficient software tools for the optimization of oil field development and operations. This includes a wide range of algorithms for optimization, data assimilation and model updating (history matching), fast flow simulation, and handling uncertainty. Techniques being developed by our group are essential for the success of smart fields, also known in industry as i-fields, e-fields, integrated operations, field of the future, etc. Traditional approaches for developing and operating oil and gas fields are rarely optimal, and the gains achieved by deploying these new technologies can be very significant for both existing and new fields. The computational techniques developed in SFC are also applicable for optimizing geological carbon storage operations as well as large-scale integrated energy systems.
Additional Affiliated Faculty: Victor Pereyra, Michael Saunders, Benjamin Van Roy, Yinyu Ye