Home›Projects›Oil and Gas› Scientific outputARTIFICIAL 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.

Published knowledge

Scientific output

Papers and technical notes document methods and results. Dissertations present the academic training associated with the cooperation.

Master's dissertations

A timeline of the works, with topics, contributions and supervision.

View dissertations ↗
44 records found · 10 shownORDER / MOST RECENT FIRST
2026
Dissertation · NMR and physics

Machine Learning Aplicado à Previsão de Saturação de Óleo a Partir de Dados Simulados de Ressonância Magnética Nuclear

Rayan Tadeu Corrêa de Moraes Barbosa

CBPF · Instrumentação Científica

2025
Patent · Intellectual property

Patent application under secrecy period

BR 10 2025 015220-8 · 2025 filing · under secrecy period

Patent application filed. Technical information unavailable during the secrecy period.

2025
Patent · Intellectual property

Patent application under secrecy period

BR 10 2025 024183-9 · 2025 filing · under secrecy period

Patent application filed. Technical information unavailable during the secrecy period.

2024
Paper · Images and petrophysics

Unsupervised segmentation for sandstone thin section image analysis

Rayan T. C. M. Barbosa; E. L. Faria; Matheus Klatt; Thais C. Silva; Juliana M. Coelho; Thais F. Matos; Bernardo C. C. Santos; J. L. Gonzalez; Clécio R. Bom; Márcio P. de Albuquerque; Marcelo P. de Albuquerque

Computational Geosciences

DOI: 10.1007/s10596-024-10304-y
Sources and organization of the scientific output

The catalog gathers papers, technical notes, dissertations, conference communications and public patent applications related to Oil and Gas work. Records are listed from most recent to oldest. References with the same DOI appear only once.

Each type of output keeps its own identification: papers and technical notes are scientific publications; dissertations represent academic training; communications record conference participation. Intellectual property records are presented as patent applications, according to the available public documentation.

Sources: CBPF Technical Notes · CBPFIndex · CBPF intellectual property · publishers and repositories linked to the references.