Physics Informed AI Methods
Tracks
Track 2
| Tuesday, September 3, 2024 |
| 1:50 PM - 3:30 PM |
Speaker
Dr Daniel Busby
Senior Reservoir Engineer
TotalEnergies
Dynamic reservoir prediction and well control optimization using physics-informed framework
1:50 PM - 2:15 PM
Dr Clement Etienam
Senior Solution Architect
NVIDIA
A Reservoir History Matching Approach Using a Coupled Mixture of Experts-Physics Informed Neural Operator Forward Model
2:15 PM - 2:40 PM
Mr George Hadjisotiriou
Phd Student
Delft University of Technology
Application of Physics-Informed Neural Networks to Immiscible Compositional Problems.
2:40 PM - 3:05 PM
Prof. Dr Mustafa Onur
McMan Chair Professor and Chairman
The University of Tulsa,
Streamlining Robust Constrained Production Optimization: An Integrated Framework Utilizing Automatically Differentiated Gradient from Deep-Learning-Based Reservoir Surrogates
3:05 PM - 3:30 PMChair A
Pallav Sarma
Chief Scientist
Tachyus
Chair B
Laura Dovera
Reservoir Engineer
Eni S.p.A.
