Ernesto Sandoval‐Curiel

Physics-driven deep-learning inversion with application to transient electromagnetics

Daniele Colombo, Erşan Türkoğlu, Weichang Li et al. · Geophysics · 2021 · 94 citations

Model Optimization, Geometric Learning, Hybrid Workflow +15

Deep-learning electromagnetic monitoring coupled to fluid flow simulators

Daniele Colombo, Weichang Li, Ernesto Sandoval‐Curiel et al. · Geophysics · 2019 · 38 citations

High-resolution velocity modeling by seismic-airborne TEM joint inversion: A new perspective for near-surface characterization

Daniele Colombo, Gary McNeice, Diego Rovetta et al. · The Leading Edge · 2016 · 34 citations

Applied Geophysics, Engineering, Seismic Wave +26

Physics-driven deep learning joint inversion

Daniele Colombo, Weichang Li, Diego Rovetta et al. · 2020 · 26 citations

Geometric Learning, Data Augmentation, Physics-based Vision +13

Multiscale hierarchical seismic-CSEM joint inversion for subsalt depth imaging in the Red Sea

Daniele Colombo, Diego Rovetta, Erşan Türkoğlu et al. · 2017 · 21 citations

Applied Geophysics, Engineering, Seafloor Mapping +21