Aiming to find the most suitable development schemes of conventional and unconventional
reservoirs for maximum energy supply or economic benefits, reservoir production …

Many aspects of reservoir management can be expected to benefit from the application of
computational optimization procedures. The focus of this review paper is on well control …

Reinforcement learning (RL) and adaptive dynamic programming (ADP) has been one of
the most critical research fields in science and engineering for modern complex systems …

In oil field development, the optimal location for a new well depends on how it is to be
operated. Thus, it is generally suboptimal to treat the well location and well control …

Well placement and control optimization in oil field development are commonly performed in
a sequential manner. In this work, we propose a joint approach that embeds well control …

In this work, we develop and apply a general methodology for optimal closed-loop field
development (CLFD) under geological uncertainty. CLFD involves three major steps …

The optimization of general oilfield development problems is considered. Techniques are
presented to simultaneously determine the optimal number and type of new wells, the …

Compositional simulation can be very demanding computationally as a result of the
potentially large number of system unknowns and the intrinsic nonlinearity of typical …

The optimization of subsurface flow processes under geological uncertainty technically
requires flow simulation to be performed over a large set of geological realizations for each …

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