121 citations · 129 across the 4 of their papers we have counts for
4 papers
Review of ensemble gradients for robust optimisation
Patrick N. Raanes, Andreas S. Stordal, Rolf J. Lorentzen
In robust optimisation problems the objective function consists of an average over (an ensemble of) uncertain parameters. Ensemble optimisation (EnOpt) implements steepest descent…
Adaptive machine learning based surrogate modeling to accelerate PDE-constrained optimization in enhanced oil recovery
Tim Keil, Hendrik Kleikamp, Rolf J Lorentzen +2
In this contribution, we develop an efficient surrogate modeling framework for simulation-based optimization of enhanced oil recovery, where we particularly focus on polymer floodi…
Iterative ensemble smoother as an approximate solution to a regularized minimum-average-cost problem: theory and applications
Xiaodong Luo, Andreas S. Stordal, Rolf J. Lorentzen +1
The focus of this work is on an alternative implementation of the iterative ensemble smoother (iES). We show that iteration formulae similar to those used in \cite{chen2013-levenbe…
Toward an enhanced Bayesian estimation framework for multiphase flow soft-sensing
Xiaodong Luo, Rolf J. Lorentzen, Andreas S. Stordal +1
In this work the authors study the multiphase flow soft-sensing problem based on a previously established framework. There are three functional modules in this framework, namely, a…