Projects

Integrated intrusion model
We constructed intrusion model conditioned on geological sketch, outcrop measurements, boreholes, gravity, and magnetic data.
Integrated intrusion model
Geophysical prior modeling using geochemistry data
We constructed priors for geophysical inversions using surface and borehole geochemistry data
Geophysical prior modeling using geochemistry data
Drone magnetic data acquisition
Set up a geophysical drone system with Prof. Jiajia Sun at University of Houston
Drone magnetic data acquisition
Geometry inversion and uncertainty quantification
Recovering the shape of subsurface anomalous bodies and quantifying geometrical uncertainties
Geometry inversion and uncertainty quantification
Deep learning enhanced joint inversion
Model-to-model deep learning joint inversion framework using U-Net
Deep learning enhanced joint inversion
Probabilistic geology differentiation
We proposed mixed Lp norm joint inversion framework to construct 3D probabilistic subsurface geological units
Probabilistic geology differentiation
A critical mineral exploration – Niobium
The largest known Niobium deposit in the United States
A critical mineral exploration – Niobium
Ground gravity and magnetic data acquisition
Geophysical Field Camp, University of Houston
Ground gravity and magnetic data acquisition
Uncertainty analysis of potential field data inversion
We developed an empirical method to analyze uncertainty of 3D deterministic gravity and magnetic inversions
Uncertainty analysis of potential field data inversion
3D undercover structure of Precambrian intrusion
Geology differentiation maximizes the value of joint inversion
3D undercover structure of Precambrian intrusion