ML & AI for seismic imaging & velocity modeling - part 2
Tracks
Geophysics
| Tuesday, June 9, 2026 |
| 2:30 PM - 5:30 PM |
| Room 3 |
Speaker
Prof. Tariq Alkhalifah
Professor of Geophysics
KAUST
Diffusion model-based posterior sampling in full waveform inversion
2:30 PM - 2:50 PM
Mr Francesco Brandolin
PhD Student
KAUST
Velocity model building via diffusion inversion with well and image constraints guidance
2:50 PM - 3:10 PM
Mr Chao Ma
China University of Petroleum (East China)
Deep Generative Full Waveform Inversion via Latent Space Gaussianization
3:10 PM - 3:30 PM
Prof. Umair Bin Waheed
Associate Professor
King Fahd University of Petroleum and Minerals
Joint inversion of seismic velocity and source locations via conditional Schrödinger bridge
3:30 PM - 3:50 PM
Ms Jiaxing Sun
Peking University
Migration velocity analysis by deep learning multimodal data
4:10 PM - 4:30 PM
Dr Mark Roberts
TGS
Accelerating Velocity Model Building in Frontier Exploration through Self-Supervised and Physics-Based Deep Learning
4:30 PM - 4:50 PM
Ms Hengyu Tang
slb.com
Flow matching diffusion model for field seismic ultra-low frequency enhancement with reconstruction-consistence mean teacher approach
4:50 PM - 5:10 PM
Dr Shaowen Wang
King Abdullah University of Science and Technology
Spectral Warm-up for Neural-Reparameterized Full Waveform Inversion
5:10 PM - 5:30 PM
