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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 ...