Al and ML using leveraging data, learning and prediction
Tracks
Geology
| Thursday, June 11, 2026 |
| 8:30 AM - 11:30 AM |
| Room 12 |
Speaker
Ardiansyah Koeshidayatullah
King Fahd University of Petroleum and Minerals
Hidden Oil: Turning Legacy Data into New Insights with Agentic AI
8:30 AM - 8:50 AM
Dr Roberto Cilli
Georessources
Transformer-Based Geotechnical Classification of Borehole Logs with Benchmarking of Uncertainty Quantification Methods: an Italian case study.
8:50 AM - 9:10 AM
qie ying
Cnooc
Application of Fault Identification Technology Based on Artificial Intelligence Deep Learning in the Bozhong Sag
9:10 AM - 9:30 AM
Wei Xiong
Southwest Petroleum University
Partial-Inpainting Vector-Quantized Network for Well-Log Reconstruction
9:30 AM - 9:50 AM
Dr Marc Servais
Data Scientist
Halliburton
A Machine Learning approach to Probabilistic Pay Prediction in Wells
10:10 AM - 10:30 AM
Mr Zhencheng Zhao
China University Of Petroleum, Beijing
New Probability Prediction Method for Shale Oil-Gas Sweet Spots via Source-Reservoir Units & Bayesian Neural Networks
10:30 AM - 10:50 AMChair A
Nicholas Holgate
Shell
Chair B
Arne Skorstad
Reservoir Uncertainty Advisor
Halliburton
