Petrophysics

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Marcelo Albuquerque

Marcelo Albuquerque

Petrophysics Researcher

Petrobras

Biography

I am a petrophysics researcher at the Digital Rocks Lab, at CENPES/Petrobras. My research interests include Petrophysical Characterization, Data Science and Machine Learning.

Interests

  • Petrophysics
  • Data Science
  • Machine Learning

Education

  • MEng in Computer Science, 2020

    UFRJ

  • BSc in Electronics Engineering, 2008

    Instituto Tecnológico de Aeronáutica

Skills

Python

90%

R

80%

Statistics

70%

Recent Posts

Hello Blog!

First Blog entry!
Last updated on 2020-09-01 1 min read

Projects

coppedown

Bookdown template for writing a Phd/Masters thesis using RMarkdown in a reproducible workflow

Master Thesis

Prediction of Petrophysical Properties Using Machine Learning and Hierarchical Multi-Task Linear Models

coronavirus brazil

The coronavirusbrazil package provides a tidy format dataset of the COVID-19 epidemic for Brazil and a shiny app for monitoring the epidemic

Publications

Estimation of Capillary Pressure Curves from Centrifuge Measurementes Using Inverse Methods

Estimation and uncertainty evaluation of Capillary Pressure Curves from centrifuge experiments using Maximum Likelihood and Laplace Approximation methods on an analytically derived solution of the centrifuge saturation equation.
Marcelo Albuquerque, Felipe M. Eler, Heitor V.R. Carmargo, André L.M. Compan, Dario A. Cruz, Carlos E. Pedreira
PDF
Estimation of Capillary Pressure Curves from Centrifuge Measurementes Using Inverse Methods

Applications of Time-Domain Back-Projection SAR Processing in the Airborne Case

The Back-Projection Algorithm is a Synthetic Aperture Radar processing approach that uses time-domain convolution in order to perform SAR focusing. Some benefits of this approach, such as exact inversion, image registration and ideal motion compensation are demonstrated, and an analysis of Circular SAR acquisition geometry and processing are discussed.
Marcelo Albuquerque, Pau Prats, Rolf Scheiber
PDF
Applications of Time-Domain Back-Projection SAR Processing in the Airborne Case