... History convergence machine learning optimization problem objective function amplitude society of petroleum engineers coefficient history matching multiplier uncertainty quantification permeability model discrete cosine transformation permeability Introduction The most common problem...

...-synthetic open access carbonate reservoir models which enable the geoscience and reservoir engineering community to analyse, study and test number of cases related to new numerical algorithms for reservoir characterisation, reservoir simulation, uncertainty quantification, robust optimization and machine...

... range for the depth of horizons accounting for spatial drift. The approach is illustrated with an example for a real clastic reservoir. Reservoir Characterization random field vector realization Artificial Intelligence well data uncertainty quantification order derivative equation partial...

... and permeabilities affected by karst features. It leads to multiples realization scheme allowing uncertainty quantification, either in mature or appraisal field development. The outcome of this modeling workflow, after a stage of up-scaling and dynamic simulation, allows a better assessment the potential impact...