ML & AI for Seismic Imaging & Velocities-1

Tracks
Geophysics
Tuesday, June 3, 2025
9:00 AM - 12:00 PM
Room 3

Speaker

Mr Juan Romero
Ph.D. Student
King Abdullah University Of Science And Technology

B-IntraSeismic: Uncertainty quantification in seismic inversion via implicit neural representations

9:00 AM - 9:20 AM
Dr Yen Sun
TotalEnergies

Rapid Geophysical Inversion and Uncertainty Estimation of Field Seismic Data Using Invertible Neural Networks

9:20 AM - 9:40 AM
Agenda Item Image
Dr Zhilong Fang
University of Electronic Science and Technology of China

An Uncertainty Quantification Method Using Normalizing Flow for Wavefield Reconstruction Inversion with Non-Gaussian Convex Priors

9:40 AM - 10:00 AM
Dr Mauricio Araya-Polo
TotalEnergies Research & Technology US

Importance Sampling for Deep Learning-driven Seismic Inversion Uncertainty Quantification

10:00 AM - 10:20 AM
Abolfazl Khan Mohammadi
PhD student
Memorial University of Newfoundland

Enhancing Uncertainty Quantification Performance via Deep Learning-Assisted Markov Chain Monte Carlo

10:40 AM - 11:00 AM
Mr Lingyun Yang
China University Of Petruleum (east China)
China University Of Petroleum (east China)

Conditional image prior with stein variational gradient descent for uncertainty quantification in full waveform inversion

11:00 AM - 11:20 AM
Mr Mohammad Hasyim Taufik
PhD Student
King Abdullah University Of Science And Technology

Accelerating Stein variational gradient descent in full waveform inversion with diffusion models

11:20 AM - 11:40 AM
Agenda Item Image
Mr Yuke Xie
Ph.d. Student
Mines Paris - PSL Research University

Generative AI prior and posterior sampling for seismic imaging

11:40 AM - 12:00 PM

loading