An efficient optimization process for hydrocarbon production in presence of geological uncertainty using a clustering method: A case study on Brugge field

A Reduced Order Modelling (ROM) coupled with a physically based optimization method named Guided Pattern Search (GPS) has been extended to take geological uncertainties into account. Four different optimization processes based on a full order or a reduced order simulation coupled with a GPS or a conventional pattern search (PS) algorithm have been carried out using the selected realizations. The best NPV results were obtained by execution of GPS on a full order simulation model. ROM led to reduction of the simulation time by a factor of eight which would make the optimization process tractable but caused some inaccuracy in the NPV evaluations. The combination of GPS and ROM resulted in an acceptable trade-off between NPV maximization and run time reduction.