ML & AI for Geological Characterisation-1
Tracks
Geology
| Tuesday, June 3, 2025 |
| 3:00 PM - 6:00 PM |
| Room 16 |
Speaker
Mr Muhammad Nur Ali Akbar
Senior Reservoir Engineer
Prores AS
Robust Machine Learning for Automated Petrophysical Prediction of Siliciclastic and Carbonate Rocks from Optical Core Photographs
3:00 PM - 3:20 PM
Mr Daniele Blancone
Phd Student
Universitetet I Stavanger
ML-based salt characterization of the Zechstein Group, Norwegian North Sea
3:20 PM - 3:40 PM
Dr Mathieu Ducros
Kognitus
Instantaneous Predictions and Efficient Uncertainty Analysis of Basin and Reservoir Simulation Outcomes Using Multifidelity Machine Learning
3:40 PM - 4:00 PM
Ms Marina Martins
Petrophysicist
PRIO (PETRO RIO O&G EXPLORACAO E PRODUCAO DE PETROLEO LTDA)
Machine Learning-Based Electrofacies Classification in Brazilian Pre-Salt Carbonates
4:00 PM - 4:20 PM
Ms Kelly Keeling
Data Scientist
ThinkOnward
Real-Time Hydrocarbon-Water Contact Prediction in PMCD Operations Using Machine Learning
4:40 PM - 5:00 PM
Ms Aigul Taimour Alvi
Phd Student
University of Stavanger
Deep Learning Architectures for Predicting Geological Parameters of Pinch-Outs Using Deep Sensing Borehole Electromagnetic Instruments
5:00 PM - 5:20 PM
Mr Ke Rong
China University Of Petroleum (East China)
Application of Machine Learning in Data Processing of Three-Detector Neutron Gamma Density Logging
5:20 PM - 5:40 PM
Mr Gabriel Chirila
Geologist
Saudi Aramco
Echoes of the Subsurface: Reviving Saudi Arabia Geological Heritage with Conversational AI
5:40 PM - 6:00 PM
