ML & AI for seismic imaging & velocity modelling - part 3
Tracks
Geophysics
| Wednesday, June 10, 2026 |
| 8:30 AM - 11:30 AM |
Speaker
Mr Xiao Ma
PhD Student
King Abdullah University of Science and Technology
Velocity model building with neural operators using the time-shift imaging condition
Mr Yuhang Ma
Phd
China University of Petroleum (East China)
Multiscale Time-Space Separable FPINNs for High-Frequency Seismic Wave Simulation in the Time Domain
Felipe Rincón
PhD candidate
University of Pisa
Accelerating wave simulations with neural dispersion correctors
Mr Bo Wang
PhD Student
China University of Petroleum (Beijing)
Dispersion-Relation Guided Wavelet U-Net for High-Fidelity Seismic Wavefield Reconstruction
Mr Zheheng Wang
Wuhan University
Shallow seismic surface-wave waveform inversion with U-net and a hybrid loss function Introduction
Ms Sangin Cho
PhD Student
Inha University
Image-to-Image Reformulation of MASW Inversion Using Transfer Learning and Diffusion Models
Dr Shijun Cheng
Postdoc
KAUST
Depth-progressive 3D seismic velocity model building via 2D generative diffusion models
Mr Muhammad Iqbal Khatami
PhD Student
King Abdullah University Of Science And Technology
Direct time-lapse velocity change estimation using a guided diffusion model
