ML & AI for Geological Characterisation-1

Tracks
Geology
Tuesday, June 3, 2025
3:00 PM - 6:00 PM
Room 16

Speaker

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Mr Yohanes Nuwara
Data Scientist
Prores AS

Robust Machine Learning for Automated Petrophysical Prediction of Siliciclastic and Carbonate Rocks from Optical Core Photographs

3:00 PM - 3:20 PM
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Mr Daniele Blancone
Phd Student
Universitetet I Stavanger

ML-based salt characterization of the Zechstein Group, Norwegian North Sea

3:20 PM - 3:40 PM
Dr Mathieu Ducros
Kognitus

Instantaneous Predictions and Efficient Uncertainty Analysis of Basin and Reservoir Simulation Outcomes Using Multifidelity Machine Learning

3:40 PM - 4:00 PM
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Ms Marina Martins
Petrophysicist
PRIO (PETRO RIO O&G EXPLORACAO E PRODUCAO DE PETROLEO LTDA)

Machine Learning-Based Electrofacies Classification in Brazilian Pre-Salt Carbonates

4:00 PM - 4:20 PM
Mr Jeffrey Roth
Data Scientist
Thinkonward

Real-Time Hydrocarbon-Water Contact Prediction in PMCD Operations Using Machine Learning

4:40 PM - 5:00 PM
Ms Aigul Taimour Alvi
Phd Student
University of Stavanger

Deep Learning Architectures for Predicting Geological Parameters of Pinch-Outs Using Deep Sensing Borehole Electromagnetic Instruments

5:00 PM - 5:20 PM
Mr Ke Rong
China University Of Petroleum (East China)

Application of Machine Learning in Data Processing of Three-Detector Neutron Gamma Density Logging

5:20 PM - 5:40 PM
Mr Emil Rayev
Geologist
Saudi Aramco

Echoes of the Subsurface: Reviving Saudi Arabia Geological Heritage with Conversational AI

5:40 PM - 6:00 PM

Chair A

Jaswinder Mann
Technical Manager
Viridien


Chair B

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Bijan Roshanravan
Birjand University of Technology

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