... with reservoir modeling which will provide him with a general scheme to follow whilst QC'ing the model. This paper also targets the methodology to obtain well-defined model in order to have a better realization of our reservoir and hence better FDP and maximum asset value which is the ultimate target for any E...

... while keeping a balance in RF for both companies. optimization problem injector Energy Sustainability placement optimization Upstream Oil & Gas objective function NPV Artificial Intelligence new objective function function evaluation best realization oil company optimization...

... Abstract Probabilistic workflows become more and more applied in the current industry. Especially in fields with large uncertainties or property variations these techniques allow to capture the possible realizations of the reservoir and the range of outcomes for applied field development...

... Abstract Uncertainty assessment for economic valuation of a field generally involves developing multiple subsurface realizations combined with different development scenarios, thereby rendering the task computationally expensive and time consuming. In addition, the task of updating the models...

... sequences capturing key uncertainties. The static models were exported to dynamic simulators. Geological, petrophysical and reservoir engineering data were integrated to create realizations reflecting extreme scenarios for reservoir parameters such as reservoir architecture, structure and fluid contacts...

... evaluation experimental design geologic modeling permeability model realization heterogeneity reservoir quality sand body geometry sandstone reservoir characterization geological modeling porosity machine learning reservoir modeling & simulation fluid dynamics upstream oil & gas...