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Regeneration of Initial Ensembles With Facies Analysis for Efficient History Matching
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Reservoir characterization is needed for estimating reservoir properties and forecasting production rates in a reliable manner. However, it is challenging to figure out reservoir properties of interest due to limited ...
Ensemble Kalman Filter With Principal Component Analysis Assisted Sampling for Channelized Reservoir Characterization
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Ensemble Kalman filter (EnKF) is one of the widely used optimization methods in petroleum engineering. It uses multiple reservoir models, known as ensemble, for quantifying uncertainty ranges, and model parameters are ...
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 ...