Wenyi Hu Email and Phone Number

Deep learning for geological sequestered CO2 monitoring and other geoscience applications• 2D-to-3D seismic image conversion • Super-resolution seismic imaging• Sparse time-lapse data reconstruction• Automatic delineation of subsurface CO2 plume body• Time-lapse data repeatability enforcement• Rapid subsurface characterization from pre-migration seismic data

• Deep learning automatic picking on seismic data (NSF Grant No. 1746824)• Deep-learning-aided seismic full waveform inversion (FWI) (DOE Grant No. DE-SC0019665)• Deep learning based seismic data interpolation• Deep learning based seismic data deblending• HPC & GPU implementation of seismic processing algorithms• Seismic Full-waveform inversion (FWI)• Novel wave propagation modeling algorithms – topography, dispersion suppression, hybrid domain, etc.• Q-Kirchhoff migration and novel Q-RTM algorithms• Advanced geoscience signal processing – bandwidth extension• Low frequency data reconstruction for FWI

• Seismic Full waveform inversion• Gravity data forward and inversion• Controlled source marine electromagnetic (CSEM) inversion• Cross-well seismic & EM inversion• Joint inversion of multi-physics data (seismic, EM, and gravity)• Petrophysical property inversion• Contrast source inversion (CSI)• NPML absorbing boundary condition

• Seismic Full waveform inversion• Gravity data forward and inversion• Controlled source marine electromagnetic (CSEM) inversion• Cross-well seismic & EM inversion• Joint inversion of multi-physics data (seismic, EM, and gravity)• Petrophysical property inversion• Contrast source inversion (CSI)• NPML absorbing boundary condition