Adaptive machine learning-based surrogate modeling to accelerate PDE-constrained optimization in enhanced oil recovery
In this contribution, we develop an efficient surrogate modeling framework for simulation-
based optimization of enhanced oil recovery, where we particularly focus on polymer …
based optimization of enhanced oil recovery, where we particularly focus on polymer …
Efficient well placement optimization under uncertainty using a virtual drilling procedure
Abstract An Automatic Well Planner (AWP) is used to efficiently adjust pre-determined well
paths to honor near-well properties and increase overall production. AWP replicates modern …
paths to honor near-well properties and increase overall production. AWP replicates modern …
Improved sampling strategies for ensemble-based optimization
KR Ramaswamy, RM Fonseca… - Computational …, 2020 - Springer
We are concerned with the efficiency of stochastic gradient estimation methods for large-
scale nonlinear optimization in the presence of uncertainty. These methods aim to estimate …
scale nonlinear optimization in the presence of uncertainty. These methods aim to estimate …
Refined ensemble-based waterflooding optimization subject to field-wide constraints
In this work, we present a modification (refinement) of the ensemble-based method for
constrained waterflooding optimization. The problem of determining life-cycle rate controls …
constrained waterflooding optimization. The problem of determining life-cycle rate controls …
A natural Hessian approximation for ensemble based optimization
Y Zhang, AS Stordal, RJ Lorentzen - Computational Geosciences, 2023 - Springer
A key challenge in reservoir management and other fields of engineering involves
optimizing a nonlinear function iteratively. Due to the lack of available gradients in …
optimizing a nonlinear function iteratively. Due to the lack of available gradients in …