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