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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 ...
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 ...