34 citations · 34 across the 1 of their papers we have counts for
2 papers
cs.LG2025
Integrating Score-Based Diffusion Models with Machine Learning-Enhanced Localization for Advanced Data Assimilation in Geological Carbon Storage
Gabriel Serrão Seabra, Nikolaj T. Mücke, Vinicius Luiz Santos Silva +3
Accurate characterization of subsurface heterogeneity is important for the safe and effective implementation of geological carbon storage (GCS) projects. This paper explores how ma…
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…