1 citations · 1 across the 2 of their papers we have counts for
3 papers
physics.geo-ph2026★ 1 cited
Artificial Intelligence for Subsurface Imaging Understanding: A Decade Review of Challenges, Methods, Benchmarks, and Outlook
Yimin Dou, Xinming Wu, Hui Gao +9
Subsurface imaging interpretation bridges observed geophysical data and quantitative geological models, supporting hydrocarbon exploration, CO2 storage assessment, and geohazard mo…
astro-ph.CO2025
Data Compression with Noise Suppression for Inference under Noisy Covariance
Sunao Sugiyama, Minsu Park
In many fields including cosmology, statistical inference often relies on Gaussian likelihoods whose covariance matrices are estimated from a finite number of simulations. This fin…
physics.geo-ph2023
DeepNRMS: Unsupervised Deep Learning for Noise-Robust CO2 Monitoring in Time-Lapse Seismic Images
Min Jun Park, Julio Frigerio, Bob Clapp +1
Monitoring stored CO2 in carbon capture and storage projects is crucial for ensuring safety and effectiveness. We introduce DeepNRMS, a novel noise-robust method that effectively h…