Al and Ml in facies and lithofacies evaluation
Tracks
Geology
| Wednesday, June 10, 2026 |
| 8:30 AM - 11:30 AM |
| Room 12 |
Speaker
Ardiansyah Koeshidayatullah
King Fahd University of Petroleum and Minerals
FaciesKAN: Two-stage Attention Kolmogorov-Arnold Network for Probabilistic Lithofacies Prediction fromWell Logs
8:30 AM - 8:50 AM
Mr Omar Khalaf
Student
University of Technology
Optimized Feature Selection and AutoML for Lithofacies Classification in Sandstone Reservoirs
8:50 AM - 9:10 AM
Mr Vusal Azimov
Geoscience Graduate
BP Exploration (Caspian Sea) Ltd
Enhancing Lithofacies Classification with Machine Learning and Savitzky-Golay Derivative Features
9:10 AM - 9:30 AM
Mr Guowei Cao
Student
Southwest Petroleum University
Layer-Wise 3D Facies Modeling with Conditional GANs: Honoring Well Constraints and Vertical Continuity
9:30 AM - 9:50 AM
Ms Mingyang Sui
Sinopec Shengli Oil Field Company
Research on Deep Thin Tight Sandstone Reservoir Prediction Based on Deep Learning
10:10 AM - 10:30 AM
Mr Afshin Tatar
Phd Student
Adelaide University
Rock Thin Section Classification Using PPL and XPL Imaging: Performance Trade-offs in Resource-Limited Settings
10:30 AM - 10:50 AM
Dr Mathieu Ducros
Kognitus
Autonomous, Multifidelity Workflow for Robust Uncertainty Quantification and Asset Analysis: Case Study in Brazilian Pre-Salt Carbonates
10:50 AM - 11:10 AM
Ms Mengyu Ren
Southwest Petroleum University
A Feature-Driven Approach for Low-velocity Mudstone Identification Using Logs and Prestack Seismic Data
11:10 AM - 11:30 AM
