Production Forecast And Monitoring: When AI Meets Physics
Tracks
Track 2
| Wednesday, March 11, 2026 |
| 3:55 PM - 5:35 PM |
| Room 2 |
Speaker
Tommy Odland
Equinor
Automated Decline Curve Analysis - DCA from a data science perspective
3:55 PM - 4:15 PM
Mr Luis Kin Miyatake
NTNU
Steady-State Two-Phase Flow Modeling Using Physics-Informed Neural Networks
4:15 PM - 4:35 PM
Mr Ediz Ferit Kula
MSc Graduate
Imperial College London
Hybrid Simulation–AI Surrogate Workflow for Rapid Uncertainty Quantification of Multiphase Flow
4:35 PM - 4:55 PM
Dr Anton Shchipanov
NORCE - Norwegian Research Centre
Combining Data-Driven Physics-Informed Methods to Automate Permanent Monitoring of Well Performance
4:55 PM - 5:15 PM
Dr Ulf Jakob Flø Aarsnes
NORCE
Automated Well Injection-Rate Control Based on On-the-fly Interpretation of Pressure Data
5:15 PM - 5:35 PM
