ML & AI for Geological Characterization III
Tracks
Geology
Wednesday, June 12, 2024 |
2:30 PM - 5:30 PM |
Dome 2 (Hall D) |
Speaker
Ms Afrah Alharbi
Saudi Aramco
AUTOMATING THE PREDICTION OF GAS ORIGIN FROM GEOCHEMICAL DATA USING AN ENSAMBLE OF MACHINE LEARNING TECHNIQUES
2:30 PM - 2:50 PM
Dr Nikolaos A. Michael
Geologist
Saudi Aramco
How many samples are required for PCA to function as a reliable correlation tool in chemostratigraphy?
2:50 PM - 3:10 PM
Ms Beatriz Lourenço de Oliveira
Student
Universidade Federal Fluminense
Neural Networks and Petrophysical Evaluation for Electrofacies Prediction in the Characterization of Atapu Field, Santos Basin
3:10 PM - 3:30 PM
Mr M Quamer Nasim
Research Scholar
Indian Institute Of Technology, Kharagpur
Automated Workflow for Detecting Fractures and Bedding Planes
3:30 PM - 3:50 PM
Mr Christian Dylmer
Geologist
Fugro Norway As
Identifying boulder fields for OWF development using machine learning image segmentation on side scan sonar mosaic
4:10 PM - 4:30 PM
Mr Tanguy Lhomme
EPSLOG
Leveraging Large Digital Core Datasets with AI for the Characterization of Geological Formations.
4:30 PM - 4:50 PM
Mr Youjun Lee
Seoul National University
Efficient Stochastic History Matching Method for Channel Reservoir Characterization using a Deep Learning Based Proxy Model
4:50 PM - 5:10 PM
Dr Hamidreza Hamdi
Research Scientist
University of Calgary
An Image-based Machine Learning Technique for Permeability Estimation from Drill Cores
5:10 PM - 5:30 PMChairperson
Jassem Abbasi
PhD Research Fellow
University Of Stavanger
Wiebke Athmer
Senior Geoscientist
SLB