Al and ML from outcrop to borehole

Tracks
Geology
Wednesday, June 10, 2026
2:30 PM - 5:30 PM
Room 12

Speaker

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Mr Yohanes Nuwara
Senior Data Scientist
Aker BP ASA

Machine Learning-Based Mineralogy Prediction from Cutting Images and X-Ray Fluorescence

2:30 PM - 2:50 PM
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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

2:50 PM - 3:10 PM
Dr Estanislao Kozlowski
Halliburton

Using Generative AI to Model Complex Reservoirs Conditioned to Subsurface Data

3:10 PM - 3:30 PM
Mr Haihua Zhao
China University Of Petroleum(east China)

A Method for Predicting Formation Water Salinity Using XGBoost Algorithm Based on Neutron Logging Data

3:30 PM - 3:50 PM
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Ms Noura Alhijri
Saudi Aramco

Foundation Model for Well Logs: Learning to Generalize Beyond Seen Wells

4:10 PM - 4:30 PM
Mr Victor Souza
Heriot-watt University

Core Permeability Prediction Using Geological Features and Machine Learning in Pre-Salt Carbonates

4:30 PM - 4:50 PM
Ms Imane Baho
Ai Engineer
Slb

ENHANCED FOUNDATION MODEL-BASED INTERACTIVE SEGMENTATION FOR BOREHOLE IMAGE DATA

4:50 PM - 5:10 PM

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