33 citations · 33 across the 2 of their papers we have counts for
3 papers
physics.geo-ph2026
Data assimilation for subsurface flow using latent diffusion model parameterization: performance of ensemble-Kalman and Monte Carlo techniques
Guido Di Federico, Wenchao Teng, Louis J. Durlofsky
Data assimilation (DA) in subsurface flow entails calibrating model parameters to match observed data, typically at wells, while preserving geological realism. Latent diffusion mod…
cs.CV2026★ 33 cited
Latent diffusion models for parameterization and data assimilation of facies-based geomodels
Guido Di Federico, Louis J. Durlofsky
Geological parameterization entails the representation of a geomodel using a small set of latent variables and a mapping from these variables to grid-block properties such as poros…
physics.geo-ph2026
3D latent diffusion models for parameterizing and history matching multiscenario facies systems
Guido Di Federico, Louis J. Durlofsky
Geological parameterization procedures entail the mapping of a high-dimensional geomodel to a low-dimensional latent variable. These parameterizations can be very useful for histor…