Shuhua Hu

Shuhua  Hu
B.E., Applied Geophysics, China University of Petroleum, 2012
M.S., Applied Geophysics, Research Institute of Petroleum Exploration & Development, 2015
Ph.D., Geosciences, University of Texas at Austin, expected 2025



Supervisor


Co-supervisor

  • Zeyu Zhao

Committee Members


I am a PhD Candidate in computational geophysics, interested in using numerical methods, scientific computing and machine learning to solve for large-scale geophysical inverse problems. My previous experience includes land seismic data processing, seismic imaging R&D for anisotropic media.

Current Research Projects

Machine-learning-assisted efficient Bayesian full waveform inversion (FWI)

Past Research Projects

Physics informed neural network (PINN) for elastic wavefield simulating

Pure quasi-P wave reverse time migration (RTM) for TTI media

Adaptive Markov chain Monte Carlo (MCMC) method for Bayesian full waveform inversion (FWI)

Geophysical Society of Oklahoma City Scholarship - SEG (2024)

David R Lammlein Scholarship - SEG (2024)

ExxonMobil Upstream Research Co. Scholarship - SEG (2024)

SEG 75th Anniversary Scholarship - SEG (2024)

Charlie & Jean Smith Scholarship - SEG (2022)

James and Ruth Harrison Scholarship - SEG (2022)

Karen Kellogg Shaw Memorial Scholarship - SEG (2022)

Graduate Fellowship - UTIG (2021 - 2023)

Technology Progress Award - Chinese Geophysical Society (2021)

An autoencoder-based prior for Bayesian full waveform inversion, SSA, Anchorage, AK (2024)

A gradient-free Bayesian full waveform inversion approach for background model uncertainty quantification, SEG, Houston TX (2024)

Efficient Bayesian full waveform inversion using a deep convolutional autoencoder prior, SEG, Houston TX (2024)

Uncertainty quantification of full-waveform inversion with adaptive MCMC method, SEG, Houston TX (2023)

On frequency and resolution of viscoelastic least-squares reverse time migration, EAGE, London, UK (2019)

Internal multiple attenation by OVT migration and its application in carbonate rock environment, EAGE, London, UK (2019)

Multi-information constrained model-based tomographic inversion in complex structure imaging: Case study from Qaidam Basin, western China, SEG, San Antonio, TX (2019)

Seismic Numerical Simulating of Carbonate Caves in Tarim Basin, Western China, EAGE, Copenhagen, Denmark (2018)

Seismic Data Processing Archiving in the Presence of Massive Data Volumes-Part I: Efficient Quality Control, EAGE, Paris, France (2017)

Stable Simulating Algorithm of Pure Quasi-P Wavefield in Complex Anisotropic Media, EAGE, Vienna, Austria (2016)