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