ML & AI for Seismic Characterisation: Properties II
Tracks
Geophysics
| Thursday, June 11, 2026 |
| 2:30 PM - 5:30 PM |
| Room 4 |
Speaker
Ms Wenjing Ouyang
China University of Petroleum (East China)
Semi-supervised elastic impedance inversion method based on multi-scale frequency decomposition and feature fusion
2:30 PM - 2:50 PM
Dr Boshara Sukar
Research Associate
Heriot-Watt University
Dynamic Reservoir Property Estimation from 4D Seismic Data using Bayesian Neural Networks
2:50 PM - 3:10 PM
先生 Qingwen Zheng
China University Of Petroleum (East China)
PAHCA: A Prior-conditioned Asymmetric Hierarchical-Coupling Architecture with Self-supervised Reconstruction for Seismic Inversion
3:10 PM - 3:30 PM
Mr Jaydip Guha
Shell
AI-assisted reservoir characterisation workflows applied in the deepwater Brazil pre-salt
3:30 PM - 3:50 PM
Dr Ranajit Ghose
Associate Professor
Delft University of Technology
Smooth, differentiable mapping in the multidimensional feature space providing more accurate subsurface property and variability estimates
4:10 PM - 4:30 PM
Mr Orkhan Mammadov
Computational Geoscientist
WAVERITY
Brownfield Reservoir Potential Evaluation using Integration of AI-Enhanced Seismic and Well Data
4:30 PM - 4:50 PM
Dr Mehdi Paydayesh
Reservoir Geophysicist
SLB
Adaptive Multi-Agent System for Multi-Physics Modelling and Risk Assessment in Carbon Capture and Storage Feasibility Studies
4:50 PM - 5:10 PM
Ms Man Tang
China University of Petroleum (East China)
Predicting Future COâ‚‚ Saturation from Historical Time-Lapse Seismic Data via Physics-Constrained Deep Learning
5:10 PM - 5:30 PM
