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RISRegeneration 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 ...
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 ...
Uncertainty Quantification Using Streamline Based Inversion and Distance Based Clustering
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: For decision making, it is crucial to have proper reservoir characterization and uncertainty assessment of reservoir performances. Since initial models constructed with limited data have high uncertainty, it is essential ...
Enhanced History Matching of Gas Reservoirs With an Aquifer Using the Combination of Discrete Cosine Transform and Level Set Method in ES-MDA
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Reservoir characterization is a process to make dependable reservoir models using available reservoir information. There are promising ensemble-based methods such as ensemble Kalman filter (EnKF), ensemble smoother (ES), ...
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 ...
Efficient Prediction of SAGD Productions Using Static Factor Clustering
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Oil sands have great amount of reserves in the world with increasing commercial productions. Prediction of reservoir performances of oil sands is challenging mainly due to long simulation time for modeling heat and fluids ...
Initial Ensemble Design Scheme for Effective Characterization of Three-Dimensional Channel Gas Reservoirs With an Aquifer
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Reservoir characterization is a process of making models, which reliably predict reservoir behaviors. Ensemble Kalman filter (EnKF) is one of the fine methods for reservoir characterization with many advantages. However, ...
Use of Clustered Covariance and Selective Measurement Data in Ensemble Smoother for Three-Dimensional Reservoir Characterization
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: History matching is essential for estimating reservoir performances and decision makings. Ensemble Kalman filter (EnKF) has been researched for inverse modeling due to lots of advantages such as uncertainty quantification, ...
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 ...