Apr 27 – 30, 2026
Faculty of Economics and Management, Czech University of Life Sciences
Europe/Prague timezone

An efficient and adaptive machine learning surrogate for optimal control in enhanced oil recovery

Apr 29, 2026, 3:20 PM
20m
Accept as Oral presentation with Reimbursement Translating Theory into Practical Solutions SESSION X
Affiliation of the corresponding author IDea_Lab, University of Graz
Keywords optimal control, surrogate modeling, ensemble-based optimization
Preferred type of presentation Oral
Are you a member of COST Action CA24136? Yes, I am a member of COST Action CA24136.
Are you applying for reimbursement? Yes, I am applying for reimbursement

Authors

Tim Keil (TNG Technology Consulting GmbH) Hendrik Kleikamp (IDea_Lab, University of Graz) Rolf J. Lorentzen (NORCE-Norwegian Research Center AS) Micheal B. Oguntola (University of Bergen) Mario Ohlberger (Mathematics Münster, University of Münster)

Presentation materials

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