most citedAI enhanced data assimilation and uncertainty quantification applied to Geological Carbon Storage

34 citations · 34 across the 2 of their papers we have counts for

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cs.LG2024★ 34 cited

AI enhanced data assimilation and uncertainty quantification applied to Geological Carbon Storage

G. S. Seabra, N. T. Mücke, V. L. S. Silva +2

This study investigates the integration of machine learning (ML) and data assimilation (DA) techniques, focusing on implementing surrogate models for Geological Carbon Storage (GCS…