Al and ML from outcrop to borehole
Tracks
Geology
| Wednesday, June 10, 2026 |
| 2:30 PM - 5:30 PM |
Speaker
Mr Yohanes Nuwara
Senior Data Scientist
Aker BP ASA
Machine Learning-Based Mineralogy Prediction from Cutting Images and X-Ray Fluorescence
Mr Guillermo Bello
Phd Student
University Of Aberdeen
Synthetic Well Logs from Virtual Outcrop: A Database-Driven Approach Applied to the Ravenscar Section, Yorkshire, UK
Dr Estanislao Kozlowski
Halliburton
Using Generative AI to Model Complex Reservoirs Conditioned to Subsurface Data
Mr Haihua Zhao
China University Of Petroleum(east China)
A Method for Predicting Formation Water Salinity Using XGBoost Algorithm Based on Neutron Logging Data
Ms Noura Alhijri
Saudi Aramco
Foundation Model for Well Logs: Learning to Generalize Beyond Seen Wells
Mr Victor Souza
Heriot-watt University
Core Permeability Prediction Using Geological Features and Machine Learning in Pre-Salt Carbonates
Mr Ryan Banas
Managing Director
Petrores Consulting
Advancing Petrophysical Analysis through Machine Learning: A Data-Driven Approach to Unveil Missing/Poor Petrophysical Data
Ms Imane Baho
Slb
ENHANCED FOUNDATION MODEL-BASED INTERACTIVE SEGMENTATION FOR BOREHOLE IMAGE DATA
