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
Agenda Item Image
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
Agenda Item Image
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 PM

Chairperson

Jassem Abbasi
PhD Research Fellow
University Of Stavanger

Wiebke Athmer
Senior Geoscientist
SLB

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