Machine Learning & Data-Driven / Hybrid Methods 1
Tracks
Track 2
Wednesday, September 4, 2024 |
1:10 PM - 2:50 PM |
Speaker
Dr Véronique Gervais
Research Engineer
IFP Energies Nouvelles
Downscaling state variables of reactive transport simulation using recurrent super-resolution networks
1:10 PM - 1:35 PM
Dr Emanuela Abbate
Eni Spa
Investigation of Convolutional Variational AutoEncoders for facies calibration within Ensemble-Smoother Multiple Data Assimilation
1:35 PM - 2:00 PM
Mr Zhen Qin
University Of Southern California
A Deep Learning-Based Geomechanical Surrogate Model for Rapid Risk Assessment in Geologic CO2 Storage
2:00 PM - 2:25 PM
Dr Eduardo Gildin
Texas A&M University
Neural Operators-Based Proxy Models for Varying Permeabilities, Well Settings and Locations
2:25 PM - 2:50 PMChair A
Mohammed Al Kobaisi
Khalifa University of Science & Technology
Chair B
Daniel Busby
Senior Reservoir Engineer
TotalEnergies
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