ML & AI for Seismic Characterisation: Properties II
Tracks
Geophysics
| Thursday, June 11, 2026 |
| 2:30 PM - 5:30 PM |
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
Dr Boshara Sukar
Research Associate
Heriot-Watt University
Dynamic Reservoir Property Estimation from 4D Seismic Data using Bayesian Neural Networks
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
Mr Jaydip Guha
Shell
AI-assisted reservoir characterisation workflows applied in the deepwater Brazil pre-salt
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
Mr Tarek Eliva
Geophysicist
WAVERITY
Brownfield Reservoir Potential Evaluation using Integration of AI-Enhanced Seismic and Well Data
Dr Mehdi Paydayesh
Reservoir Geophysicist
SLB
Adaptive Multi-Agent System for Multi-Physics Modelling and Risk Assessment in Carbon Capture and Storage Feasibility Studies
Ms Man Tang
China University of Petroleum (East China)
Predicting Future COâ‚‚ Saturation from Historical Time-Lapse Seismic Data via Physics-Constrained Deep Learning
