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L. Mendoza

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#data science Oct 2026

Surrogate-Assisted Iterative Ensemble Smoothing: An Lstm Simulator Twin for Fast, Robust History Matching and Uncertainty Quantification

Abstract Reservoir history matching and uncertainty quantification remain constrained by the cycle time of large-ensemble, full-physics simulations. Ensemble-based history matching, particularly the Ensemble Smoother with Multiple Data Assimilation (ES-MDA), has proven highly effective for uncertainty quantification in...

D. Victoria, L. Mendoza · 0 citations

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