activity
20182026
most citedA deep-learning-based surrogate model for data assimilation in dynamic subsurface flow problems

403 citations · 831 across the 26 of their papers we have counts for

collaborators

27 papers

physics.geo-ph2026

Basin-Scale Modeling of Multiple Storage Projects in the Broom Creek Formation, North Dakota, USA: Unified Model and Uncertainty Quantification

Keisuke Yamamura, Louis J. Durlofsky

Quantifying the interactions between neighboring projects will be essential as carbon storage operations expand in scale. However, many existing basin-scale studies are determinist…

cs.LG2026

Prediction of Fault Slip Tendency in CO Storage using Data-space Inversion

Xiaowen He, Su Jiang, Louis J. Durlofsky

Accurately assessing the potential for fault slip is essential in many subsurface operations. Conventional model-based history matching methods, which entail the generation of post…

physics.geo-ph2025

Bayesian Full-waveform Monitoring of CO2 Storage with Fluid-flow Priors via Generative Modeling

Haipeng Li, Nanzhe Wang, Louis J. Durlofsky +1

Quantitative monitoring of subsurface changes is essential for ensuring the safety of geological CO2 sequestration. Full-waveform monitoring (FWM) can resolve these changes at high…

cs.LG2025★ 1 cited

Recurrent Transformer U-Net Surrogate for Flow Modeling and Data Assimilation in Subsurface Formations with Faults

Yifu Han, Louis J. Durlofsky

Many subsurface formations, including some of those under consideration for large-scale geological carbon storage, include extensive faults that can strongly impact fluid flow. In…

physics.geo-ph2025★ 3 cited

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…

cs.LG2024

Likelihood-Free Inference and Hierarchical Data Assimilation for Geological Carbon Storage

Wenchao Teng, Louis J. Durlofsky

Data assimilation will be essential for the management and expansion of geological carbon storage operations. In traditional data assimilation approaches a fixed set of geological…