Home›Projects›Oil and Gas› DissertationsARTIFICIAL INTELLIGENCE LABORATORY / CBPF
RESEARCH, DEVELOPMENT AND INNOVATION

Artificial Intelligence
for Oil and Gas

Scientific knowledge and technological development for the challenges of reservoir characterization and subsurface exploration.

Through LAB-IA, the Brazilian Center for Research in Physics brings together expertise in artificial intelligence, physics, geosciences and high-performance computing to develop methods applied to the oil and gas industry.

Academic training

Dissertations

Master's works from most recent to oldest, with the problem investigated and the contribution to the research trajectory.

2026
NMR and oil saturation · CBPF · Scientific Instrumentation

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

Full text not yet located.

2024
Seismic processing · CBPF · Professional Master's in Physics / Scientific Instrumentation

Thiago Pacheco Carneiro

Remoção de múltiplas do dado sísmico por modelos de aprendizado de máquina

Develops paired synthetic data and compares networks to identify primary reflections and reconstruct amplitudes with multiple attenuation. Defended on January 17, 2024.

Advisor: Marcelo Portes de Albuquerque · Co-advisor: Elisângela Lopes de Faria

2022
Computational petrography · COPPE/UFRJ · Civil Engineering

Juliana da Mota Coelho

Classificação automática de lâminas carbonáticas por meio de técnicas de visão computacional e modelos especialistas

Automatic classification of carbonate thin sections using computer vision techniques and expert models.

Full text not yet located.

Related presentation ↗
2020
Signal processing fundamentals · CBPF · Physics

Helen de Lemos Braga

Um estudo sobre métodos computacionais de geração de processos 1/f via processamento digital de sinais

Computational study of 1/f process generation, part of the methods and instrumentation foundation of the group's trajectory.

2018
Fractures and breakouts · CBPF · Scientific Instrumentation

Luciana Olivia Dias

Detecção e caracterização automatizada de fraturas e desmoronamentos em perfis de imagens de poço petrolífero utilizando Inteligência Artificial

Investigation of artificial intelligence methods to detect and characterize structures in oil well images.

2018
Borehole images and petrophysics · CBPF · Scientific Instrumentation

Manuel Blanco Valentín

Deep Learning Methods on Geological Reservoir Borehole Log Images and Applications

Integrates acoustic and electrical image processing, lithofacies identification and porosity and permeability estimation. Includes methods for breakouts, eccentricity and pad artifacts.

Advisor: Márcio Portes de Albuquerque · Co-advisor: Clécio Roque de Bom

2017
Porous media structure · UFES · Physics

Deivid Wilson Oliveira Santana

Estudo da Estrutura Porosa de Empacotamento Compacto Aleatório de Esferas Rígidas

Study of pore space organization in random packings of rigid spheres, contributing to porous media modeling.

UFES record ↗