ML & AI for Seismic Processing III (characterisation and case studies)
Tracks
Geophysics
| Tuesday, June 9, 2026 |
| 2:30 PM - 5:30 PM |
| Room 4 |
Speaker
Mr Chao Ma
China University of Petroleum (East China)
Fusion of STCN and physical prior constraints: achieving high-fidelity seismic data denoising
2:30 PM - 2:50 PM
Mr Yang Cui
PhD Student
Uppsala University
When Deep Learning Meets Imperfect Labels: A Case Study for DAS Denoising
2:50 PM - 3:10 PM
Mr. Han Wang
Student
Harbin Institute of Technology
A Hybrid Physics-DL Framework for Mitigating Severe Attenuation in Deep-Water Complex Environments
3:10 PM - 3:30 PM
Mr Dongyang Li
Peking University
Internal Multiple Suppression Using a Prior Information Constrained Neural Network
3:30 PM - 3:50 PM
Dr Tao Zhao
SLB
Deep learning assisted 2D-to-3D seismic image reconstruction: A North Sea example
4:10 PM - 4:30 PM
Dr Oleg Ovcharenko
Solutions Architect
NVIDIA
Exploring continuous and discrete embeddings from pretrained tokenizer in application to seismic data
4:30 PM - 4:50 PM
Mr Kelvis Leung
PhD Student
University of Bristol
PHASER: A Deep Learning Model for Real-time Downhole Microseismic Event Picking
4:50 PM - 5:10 PM
Dr Jack Walpole
TGS
Revealing the Diffracted Wavefield in Ultra High-Resolution Seismic Data with Deep Learning
5:10 PM - 5:30 PM
