Blar i UiS Brage på forfatter "Oguntola, Micheal Babatunde"
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Adaptive machine learning-based surrogate modeling to accelerate PDE-constrained optimization in enhanced oil recovery
Keil, Tim; Kleikamp, Hendrik; Lorentzen, Rolf Johan; Oguntola, Micheal Babatunde; Ohlberger, Mario (Peer reviewed; Journal article, 2022)In this contribution, we develop an efficient surrogate modeling framework for simulation-based optimization of enhanced oil recovery, where we particularly focus on polymer flooding. The computational approach is based ... -
Efficient Optimization and Robust Value Quantification of Enhanced Oil Recovery Strategies
Oguntola, Micheal Babatunde (PhD thesis UiS;, Doctoral thesis, 2022-06)With an increasing demand for hydrocarbon reservoir produces such as oil, etc., and difficulties in finding green oil fields, the use of Enhanced Oil Recovery (EOR) methods such as polymer, Smart water, and solvent flooding ... -
Ensemble-based constrained optimization using an exterior penalty method
Oguntola, Micheal Babatunde; Lorentzen, Rolf J. (Peer reviewed; Journal article, 2021)In science and engineering, non-linear constrained optimization has been a useful mathematical technique for many practical applications. Of interest to us is its applicability in the modeling and prediction of hydrocarbon ...