ML/AI for Seismic Processing - Denoising
Tracks
Geophysics
| Wednesday, June 12, 2024 |
| 8:30 AM - 11:30 AM |
| Room 10 (Hall E) |
Speaker
Mr Xin Xu
NWGI
An intelligent seismic denoising method integrating attention mechanism and data reconstruction
8:30 AM - 8:50 AM
Mr Randy Harsuko
Ph.d. Student
King Abdullah University of Science and Technology
Application of a Transformer-based network on land seismic data: a case study on ground roll suppression
8:50 AM - 9:10 AM
Mr Meng Wang
Phd Student
Harbin Institute of Technology
Hybrid neuron model powers seismic data denoising
9:10 AM - 9:30 AM
Mr Hao Zhang
China University Of Petroleum (East China)
Conditional Denoising Diffusion Probabilistic Model for Seismic Diffraction Separation and Imaging
9:30 AM - 9:50 AM
Ms Sixiu Liu
KAUST
Gabor-based learnable sparse representation for self-supervised ground roll removal
10:10 AM - 10:30 AM
Dr Tim Seher
Principal Research Geophysicist
TGS
Shear wave noise attenuation in ocean bottom node data using machine learning
10:30 AM - 10:50 AM
Mr Linsen Yang
Master's Degree
Xi'an Jiaotong University
A stable and efficient attenuation compensation method based on physics-constrained deep learning
10:50 AM - 11:10 AM
