Gabriel Pérez

Intern

Visiting Student

Current

Research Interest

Physics informed machine learning, Physics informed neural networks, Machine learning, Fluid Flow in Porous Media.

Selected Publications

Application of fluidifiers as viscosity reduction agents to improve Colombian heavy crude oil production https://revistas.uis.edu.co/index.php/revistaion/article/view/11855

Education

2013-2018, B.Sc. in Petroleum Engineering, Industrial University of Santander, Bucaramanga, Colombia

Professional Profile

  • Application Engineer | Bucaramanga | April 2019 – December 2021

    Smart Fluid International S.L.

    Technical support engineer handling Smart Fluid products. Conduct internal application trials for verification and qualification of products. Work with Sales Director to develop plans to meet sales goals. Prepare training and marketing presentations for customers. Visit key customers to support specific design problems or competitive situations.

  • Laboratory Engineer | Piedecuesta | October 2018 – April 2019

    UNIVERSIDAD INDUSTRIAL DE SANTANDER – Petrophysics Analysis and Formation Damage Laboratory.

    Petrophysics and Formation Damage Engineer. Petroleum Engineer at Petrophysics and Formation Damage UIS - Laboratory. Simulation and interpretation of relative permeability tests, design, and application of core flooding tests.

Research Interests Keywords

Physics informed neural networks Physics informed machine learning Fluid flow in porous media Machine Learning