In the area of reservoir engineering, the optimization of oil and gas production is a complex
task involving a myriad of interconnected decision variables shaping the production system's …

We consider a technique to estimate an approximate gradient using an ensemble of
randomly chosen control vectors, known as Ensemble Optimization (EnOpt) in the oil and …

Closed-loop field development and management (CLFDM) is defined as a periodic update
of an uncertain field model using the latest measurements (data assimilation), followed by …

Solving a large‐scale optimization problem with nonlinear state constraints is challenging
when adjoint gradients are not available for computing the derivatives needed in the basic …

This work presents recent advances within the AlgoRithms for Global Optimization of
coNstrAined grey-box compUTational problems (ARGONAUT) framework, developed for …

Abstract Model-based decision-making in oilfield development often involves hundreds of
computationally demanding reservoir simulation runs. In particular, well placement …

We consider robust ensemble-based (EnOpt) multiobjective production optimization of on/off
inflow-control devices (ICDs) for a sector model inspired by a real-field case. The use of …

With an increase in the number of applications of ensemble optimization (EnOpt) for
production optimization, the theoretical understanding of the gradient quality has received …

Determining optimal well placements and controls are two important tasks in oil field
development. These problems are computationally expensive, nonconvex, and contain …

It is extremely challenging to design effective assisted-history-matching (AHM) methods for
complex geological models with discrete-facies types. One of the difficulties is the irregular …