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Reliable Initial Model Selection for Efficient Characterization of Channel Reservoirs in Ensemble Kalman Filter
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Ensemble Kalman filter is typically utilized to characterize reservoirs with high uncertainty. However, it requires a large number of reservoir models for stable and reliable update of its members, resulting in high ...
Model Regeneration Scheme Using a Deep Learning Algorithm for Reliable Uncertainty Quantification of Channel Reservoirs
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Reservoir characterization is one of the essential procedures for decision makings. However, conventional inversion methods of history matching have several inevitable issues of losing geological information and poor ...