Al and ML using leveraging data, learning and prediction
Tracks
Geology
| Thursday, June 11, 2026 |
| 8:30 AM - 11:30 AM |
Speaker
Mr Xiaolong Wei
University of British Columbia
BEST OF IMAGE: Leveraging geological data to construct training models for supervised deep learning inversion
Dr Ardiansyah Ibnu Koeshidayatullah
King Fahd University of Petroleum and Minerals
Hidden Oil: Turning Legacy Data into New Insights with Agentic AI
Dr Roberto Cilli
Georessources
Transformer-Based Geotechnical Classification of Borehole Logs with Benchmarking of Uncertainty Quantification Methods: an Italian case study.
qie ying
Cnooc
Application of Fault Identification Technology Based on Artificial Intelligence Deep Learning in the Bozhong Sag
Dr NIMA DOLATABADI
National PhD Program
University of Catania
Bridging Remote Sensing and Field Operations: Automated Land Cover Classification and Dynamic Vectorization
Wei Xiong
Southwest Petroleum University
Partial-Inpainting Vector-Quantized Network for Well-Log Reconstruction
Dr Marc Servais
Data Scientist
Halliburton
A Machine Learning approach to Probabilistic Pay Prediction in Wells
Mr 先生 Zhao Zhencheng
China University Of Petroleum, Beijing
New Probability Prediction Method for Shale Oil-Gas Sweet Spots via Source-Reservoir Units & Bayesian Neural Networks
