We constructed intrusion model conditioned on geological sketch, outcrop measurements, boreholes, gravity, and magnetic data.
We constructed priors for geophysical inversions using surface and borehole geochemistry data
Set up a geophysical drone system with Prof. Jiajia Sun at University of Houston
Recovering the shape of subsurface anomalous bodies and quantifying geometrical uncertainties
Model-to-model deep learning joint inversion framework using U-Net
We proposed mixed Lp norm joint inversion framework to construct 3D probabilistic subsurface geological units
The largest known Niobium deposit in the United States
Geophysical Field Camp, University of Houston
We developed an empirical method to analyze uncertainty of 3D deterministic gravity and magnetic inversions
Geology differentiation maximizes the value of joint inversion
