Rayan Tadeu Corrêa de Moraes Barbosa
Machine Learning Aplicado à Previsão de Saturação de Óleo a Partir de Dados Simulados de Ressonância Magnética Nuclear
Compares machine learning on simulated and laboratory NMR curves. Investigates pre-training, fine-tuning and data augmentation to estimate oil saturation. Defended on June 18, 2026.
Advisor: Marcelo Portes de Albuquerque · Co-advisor: Jorge Luis González Alfonso
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