Machine learning part 2
Tracks
Room 1
| Thursday, October 8, 2026 |
| 3:25 PM - 4:45 PM |
| Room 1 |
Speaker
Dr Yanqing Yu
Vermilion Energy Netherlands BV
Seismic Inversion and Unsupervised Neural Network for Volumetric Uncertainty Reduction
Mr Kacper Paprota
PhD Student
AGH University Of Krakow
Predicting distribution of reservoir parameters using MLFNN and CNN techniques based on seismic inversion results
Mr Said Al-Busaidi
Lead Quantitative Information
PDO
Unlocking Gharif Channel Sand to Support Drilling using Machine Learning and Conventional approaches, Sultanate of Oman
Mr Chung Shen Lee
Technical Geoscientist
GeoSoftware
Building low frequency model with Deep Neural Network for Constrained Sparse Spike Inversion without structural model
