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Fast and Reliable History Matching of Channel Reservoirs Using Initial Models Selected by Streamline and Deep Learning
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Ensemble-based methods involve using multiple models for model calibration to correct initial models based on observed data. The assimilated ensemble models allow probabilistic analysis of future production behaviors. It ...
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 ...