DS-15 - Good AI Practice and Challenging Case Studies for Injecting, Producing and Storing of Subsurface Fluids
Tracks
Dedicated Sessions
| Tuesday, June 11, 2024 |
| 2:30 PM - 5:30 PM |
| Room 6 (Hall E) |
Speaker
Prof. Behnam Jafarpour
Professor
University of Southern California
Active Learning for Efficient Well Control Optimization with Neural Network Proxy Models
2:30 PM - 2:50 PM
Dr Vassilis Gaganis
National Technical University of Athens
Defining injection wells location in CCS projects using Bayesian optimization
2:50 PM - 3:10 PM
Dr Lesley James
Professor
Memorial University Of Newfoundland
A Machine Learning Prediction of Oil-Brine Relative Permeability Utilizing Effective Characteristics of Reservoir Rocks and Fluids
3:10 PM - 3:30 PM
Dr Kheireddine REDOUANE
Researcher
Norwegian University Of Science And Technology - Ntnu
Flow Rate Prediction in a Real Oil Field Using Random Forest Algorithm
3:30 PM - 3:50 PM
Dr Andrew Davies
Chief Geoscience Advisor
Halliburton
Assisted Interpretation workflows applied to Carbon Storage Prospects
4:10 PM - 4:30 PM
Mr Ferdinand Bhavsar
Mines Paris
Principled GAN approach for conditional geological facies generation
4:30 PM - 4:50 PM
Prof. Dr Constantin Cranganu
The City University Of New York, Brooklyn College
Ranking Intelligent Approaches in Estimating the Total Organic Carbon of Marcellus Shale Formation, New York State
4:50 PM - 5:10 PM
Dr Fan Wu
PHD
Beijjing Huairou Laboratory
Seafloor Formation Pressure Prediction Based on Deep Extreme Learning Machine
5:10 PM - 5:30 PMChairperson
Vasily Demyanov
Heriot-Watt University
Ashkan Jahanbani Ghahfarokhi
NTNU (Norwegian University of Science and Technology)
