... Abstract The purpose of history matching is to achieve geological realizations calibrated to the historical performance of the reservoir. For complex geological structures it is usually intractable to run tens of thousands of full reservoir simulation to trace the most probable geological model...

... Gravity Drainage (SAGD) process and matched the saturation and temperature profiles with an average error of less than 2%. artificial intelligence upstream oil & gas model 2 reservoir simulation seismic data optimization problem objective function history matching saturation profile...

..., the best practices, and the advantages of an integrated approach in developing an optimal development plan for a brownfield. optimization problem upstream oil & gas enhanced recovery reservoir simulation multi-constrained optimisation artificial intelligence waterflooding constraint...

... learning reservoir simulation dynamic penalty function evolution algorithm artificial intelligence upstream oil & gas dpfga algorithm flow in porous media computational cost penalty function genetic algorithm mismatch permeability fluid dynamics implementation reservoir parameter...

... non-uniqueness was a particular problem. It also emphasizes the importance of understanding aquifer communication when relatively closely spaced fields are being developed. history matching decision support system burgan minagish reservoir reservoir simulation reservoir pressure pressure...

... approaches. modeling & simulation carbonate reservoir reservoir characterization upstream oil & gas opportunity index connectivity complex reservoir flow capacity sweet spot soi case study society of petroleum engineers spe 163378 roi reservoir simulation well placement height...

... history matching frameworks where reservoir engineers require a powerful, yet easy to work tool with little effort to find optimum algorithm parameters. We have applied differential evolution approach to obtain history matched models of a reservoir simulation case in Gulf of Mexico. The effect...

... field individually. This reduces the number of wells required to meet targets at any one time under any reservoir realization, while also staying within the surface network constraints. Artificial Intelligence reservoir simulation equation of state constraint-based reasoning Upstream Oil...

.... Modeling & Simulation condensate reservoir reservoir simulation Upstream Oil & Gas condensate banking multiplier fine grid model saturation boundary production profile dew point pressure complex reservoir simulation model Porosity Modeling coarse grid model permeability gas Oil...

... permeability with velocity and interfacial tension have so far not been studied. In this work dual porosity option of the ECLIPSE 300 compositional reservoir simulator, which includes our in-house relative permeability (k r ) correlation accounting for the positive coupling (increase in k r by an increase...