... history matching space cut reservoir model history uncertainty analysis evaluation objective function vernon scenario artificial intelligence model output emulator input space upstream oil & gas uncertainty reduction emulation water rate selection informative output...

... Abstract The closed-loop field development (CLFD) under geological uncertainties is a general methodology that aims to optimize an objective function by successively adjust the development plan (DP) of an oil field as new information is made available by drilling and production of new wells...

... optimization problem artificial intelligence genetic algorithm operation constraint upstream oil & gas logistics optimization objective function offshore technology conference scenario navigation operational time efficiency vehicle total number boat workover vessel Alves , V. R...

... constraint artificial intelligence compressor train objective function gas flow rate choke pressure drop optimization problem drillstem testing production monitoring Odom , F and Muster , L. ( 2009 ) Tutorial on Modelling of Gas Turbine Driven Centrifugal Compressors, PSIG 09A4...

... the methods available to quantitatively interpret interference test data from multiple wells simultaneously. Concentrating on grid-based parameter estimation methods, we propose an objective function that is designed to effectively combine data from source and observation wells. Combining data from different...