ML and AI Methods applied to CO2 Geosequestration
Tracks
Track 1
| Wednesday, September 4, 2024 |
| 10:30 AM - 12:10 PM |
Speaker
Mr Zhen Qin
University Of Southern California
Physics-Guided Deep Learning for Predicting CO₂ Migration Dynamics
10:30 AM - 10:55 AM
Yingxiang Liu
University of Southern California
Spatial-Temporal Neural Networks for Predicting CO2 Migration from Field Measurements
10:55 AM - 11:20 AM
Peter von Schultzendorff
University Of Bergen
A machine-learned near-well model in OPM Flow
11:20 AM - 11:45 AM
Prof. Behnam Jafarpour
Professor
University of Southern California
Dynamic Imaging of the CO2 Plume from Sparse Monitoring Data with Deep Learning-Based Diffusion Models
11:45 AM - 12:10 PMChair A
Arne Skorstad
Senior Manager Energy Transition
Halliburton
Chair B
Kristian Fossum
Senior Researcher
NORCE Norwegian Research Centre AS
