In this study, we consider simulation-based worst-case optimization problems with continuous design variables and a finite scenario set. To reduce the number of simulations required increase restarts for better local optimum solutions, propose new approach referred to as adaptive subset selection (AS3). The proposed subsamples support construct objective function in given neighborhood, introduc...

Determining optimal locations and operation parameters for wells in oil and gas reservoirs has a potentially high economic impact. Finding these optima depends on a complex combination of geological, petrophysical, flow regimen, and economical parameters that are hard to grasp intuitively. On the other hand, automatic approaches have in the past been hampered by the overwhelming computational c...

Well placement optimization is a very challenging problem due to the large number of decision variables involved and the nonlinearity of the reservoir response as well as of the well placement constraints. Over the years, a lot of research has been done on this problem, most of which using optimization routines coupled to reservoir simulation models. Despite all this research, there is still a ...

These days randomized-based population optimization algorithms are in wide use in different branches of science such as bioinformatics, chemical physics andpower engineering. An important group of these algorithms is inspired by physical processes or entities’ behavior. A new approach of applying optimization-based social relationships among the members of a community is investigated in this pa...

Well placement and control scheme optimization is crucial for hydrocarbon, groundwater geothermal development, generally involves a large number of discrete correlated decision variables. Meta-heuristic algorithms have showed good performance in solving complex, nonlinear non-continuous problems. However, numerical simulation runs are involved during the process. In this work, novel efficient d...

Field development and control optimization aim to maximize the economic profit of oil gas production while respecting various constraints such as limits imposed by available fluid processing capacity and/or reservoir management strategies. The limitations existing workflows are 1) well locations or production/injection controls optimized independently despite fact that one affects another, 2) f...

One of the mostly used enhanced oil recovery methods is the injection of water or gas under pressure to maintain or reverse the declining pressure in a reservoir. Several parameters should be optimized in a fluid injection process. The usual optimizing methods evaluate several scenarios to find the best solution. Since it is required to run the reservoir simulator hundreds of times, the process...