Mathematical optimization has a vast range of applications, e.g. within economy, mechanics, and engineering disciplines. Our research has been motivated from petroleum engineering applications, with the goal of providing better reservoir management strategies. This does not only provide higher net income for the operating company, but will also contribute to better energy efficiency and reduced geographical and environmental footprint.
NORCE pioneered the development of ensemble methods for optimization (Lorentzen et al.), and has a long history of developing improved reservoir management tools by using ensemble methods for optimization and model updating (data assimilation) in a closed-loop fashion. Recently the effort has been extended to also include decision support that uses the ensemble of models as input in the decision-making process. These topics are currently addressed through the project DIGIRES, hosted by NORCE, and through our research in The National IOR Centre.
Some of the most recent research activities include
Optimizing and evaluating IOR strategies
Further development of the ensemble optimization methodology
Participation in the Olympus optimization challenge
Use of derivative-free methods
Participation in the Brugge optimization challenge