... contribution of the influential parameters on the objective function like oil recovery. To do so, a detailed modeling work was performed for sensitivity and uncertainty analysis of AS flooding. Some of the important parameters used in the model are interfacial tension, chemical adsorption, slug size...

... drainage Artificial Intelligence Upstream Oil & Gas Modeling & Simulation cold production steam injection recovery factor thermal method SAGD investment cyclic steam injection spe 165297 objective function optimization operational parameter financial evaluation injection pressure...

... model parameterization objective function coefficient algorithm reservoir model posterior distribution computation realization permeability sensitivity inversion correspond model realization workflow spe 144092 Introduction Modeling the production behavior of hydrocarbon reservoirs...

... of hybrid genetic algorithm were rarely found. In continuation of these efforts, we focused on optimizing the SAGD process and its extension to solvent-additive SAGD using hybrid genetic algorithm. The objective function was defined to obtain the lowest cumulative steam-oil ratio (cSOR) and highest...

... maximizing sweep efficiency and production acceleration. We use streamlines to compute the analytical sensitivity of arrival times with respect to well rates. Analytical forms for gradient and Hessian of the objective function are derived, making our optimization computationally efficient for large-scale...