Mateus de Araujo Fernandes

Selected Publications

• Data-driven Forecasting of Production Rates in Petroleum Reservoirs Using Machine Learning

  M. A. Fernandes, M. M. Furlanetti, E. Gildin, M. A. Sampaio

  ENCIT, 2026

• Hybrid Physics-Data-Driven Approach for Pressure Estimation in CO2-Rich Gas Injection Operations

  M. A. Fernandes, E. Gildin, M. A. Sampaio

  IEEE Access, 2026

• Rig Scheduling in Stochastic Oilfield Operations Using Fuzzy Inference and Monte Carlo Simulation

  M. A. Fernandes, E. Gildin, M. A. Sampaio

  12th International Conference on Soft Computing & Machine Intelligence (ISCMI), 2025

• AI-Driven Prescriptive Analytics for Hydrate Mitigation in Offshore Petroleum Production

  M. A. Fernandes, R. O. Rabelo, E. Gildin, M. A. Sampaio

  IEEE International Conference on AI and Data Analytics (ICAD), 2025

• Machine Learning-Based Virtual Sensor for Bottom-Hole Pressure Estimation in Petroleum Wells

  M. A. Fernandes, E. Gildin, M. A. Sampaio

  Eng, MDPI, 2025

• Data-driven models for production forecasting and decision supporting in petroleum reservoirs

  M. A. Fernandes, M. M. Furlanetti, E. Gildin, M. A. Sampaio

  Preprint, 2025

• 3W Dataset 2.0.0: a realistic and public dataset with rare undesirable real events in oil wells

  R. E. Vaz Vargas, C. J. Munaro, M. A. Fernandes et al.

  Preprint, 2025

• Data-driven Estimation of Flowing Bottom-Hole Pressure in Petroleum Wells using Long Short-Term Memory

  M. A. Fernandes, E. Gildin, M. A. Sampaio

  IEEE International Conference on Machine Learning and Applications (ICMLA), 2024

• Data-Driven Workflow for Categorization of Brines Applied to a Pre-Salt Field

  M. A. Fernandes, E. Gildin, M. A. Sampaio

  Offshore Technology Conference Brasil, 2023

• Challenges of a Mature Onshore Field in the Transition to Natural Gas as the Main Fluid

  M. A. Fernandes, F. T. A. Costa, N. H. S. Almeida

  Rio Oil & Gas, 2018 · Available in Portuguese

• Knowledge Management in Petroleum Industry a Case Study for Petrobras/UO-SEAL

  R. G. S. A. Fernandes, M. A. Fernandes

  Rio Oil & Gas, 2018 · Available in Portuguese

• Multidisciplinary Vision is the Key to Making a High Stratigraphic and Structural Complexity Oil Field Profitable Under an Adverse Costs Scenario

  F. T. A. Costa, F. A. M. Vila Nova, M. A. Fernandes

  Rio Oil & Gas, 2016

• Building Reservoir Quality Maps for a Geologically Complex Oilfield by using Fuzzy Logic and Kriging

  M. A. Fernandes, F. A. M. Vila Nova, F. T. A. Costa, S. L. F. Furtado

  Rio Oil & Gas, 2014 · Available in Portuguese

Talks

• “Machine Learning-Based Soft Sensors for Reliable Bottom-Hole Pressure Estimation in IWC Wells” — SPE Workshop: Integrated Intelligent Well Completion, Rio de Janeiro, 2025
• “Data-driven Estimation of Flowing Bottom-Hole Pressure in Petroleum Wells using Long Short-Term Memory” — 18th U.S. National Congress on Computational Mechanics (USNCCM18), Chicago, 2025
• “AI-Driven Prescriptive Analytics for Hydrate Mitigation in Offshore Petroleum Production” — IEEE International Conference on AI and Data Analytics (ICAD 2025), Medford, 2025
• “Data-driven Estimation of Flowing Bottom-Hole Pressure in Petroleum Wells using Long Short-Term Memory” — IEEE International Conference on Machine Learning and Applications (ICMLA 2024), Miami, 2024

CV & Links

• Curriculum Vitae (Currículo Lattes)
• LinkedIn profile
• Google Scholar — full publication list

Collaborators

Professionals I have collaborated with on research and innovation projects:

• Prof. Marcio Augusto Sampaio Pinto — University of São Paulo (USP)
• Prof. Eduardo Gildin — Texas A&M University
• Michael Miguel Furlanetti — Petrobras
• Ricardo E. Vaz Vargas — Petrobras
• Samia Lima Freire Furtado — Petrobras
• Francisco Tadeu Alves da Costa — Petrobras (retired)