Main
Marcelo Albuquerque
I am a petrophysicist with a unique combination of skills in applied machine learning, statistics and reservoir engineering. I am passionate about analyzing and extracting value from data, using exploration and visualization tools and deploying solutions for business problems.
Currently searching for a position that allows me to build tools leveraging a combination of visualization, machine learning, and software engineering to help people explore and understand their data in new and useful ways.
Education
MsC, Computer Science
UFRJ
Rio de Janeiro, RJ
2020 - 2018
- Master Thesis: Prediction of Petrophysical Properties Using Machine Learning and Hierarchical Multi-Task Linear Models
B.S., Electronics Engineering
ITA
São José dos Campos, SP
2008 - 2003
- Diploma Thesis: Applications of Time-Domain Back-Projection SAR Processing in the Airborne Case
Industry Experience
Data Scientist
Petrobras Research Center
Rio de Janeiro, RJ
Present - 2018
- Develop Machine Learning models to predict Petrophysical Properties
- Build REST APIs and python/R packages to access and explore petrophysical data
- Enhance data storage and image processing workflows for microtomographic images
- Design petrophysical data visualization tools and web apps
- Develop reservoir simulation python packages to deploy and update petrophysical models using history matching bayesian methods
Petrophysicist
Petrobras Research Center
Rio de Janeiro, RJ
Present - 2015
- Coordinate the execution of Routine and Special Core Analysis (SCAL) data gathering for pre-salt and other strategic fields of Petrobras
- Analyze SCAL experimental data and provide meaningful petrophysical rock parameters for reservoir simulation
- Simulate and research physical phenomena and improve data acquisition methods
Reservoir Engineer
Petrobras
Aracajú, SE
2015 - 2010
- Reservoir Engineer at the Sergipe-Alagoas Business unit (UO-SEAL)
- Management of mature oil and gas fields in the Sergipe Alagoas basin
- Oil Field Production and Reserves forecasting with analytical and numerical simulation tools (CMG Software Suite)
Petroleum Engineer
Petrobras
Salvador, BA
2010 - 2009
- Petroleum Engineering in-company specialization at Petrobras University
Engineering Intern
Orbisat
São José dos Campos, SP
2008 - 2008
- Developed a point-target simulator for a ground-based weather radar, using Synthetic Aperture Radar concepts
- Supported the software development team evaluating and implementing radar signal processing algorithms in IDL
Research Experience
Diplomand Researcher
Deutsches Zentrum für Luft und Raumfahrt (DLR)
Munich, DE
2007 - 2007
- Implemented a Synthetic Aperture Radar (SAR) processor in IDL and C / pthreads
- Investigated and developed applications of time-domain SAR processing: direct-geocoding and processing of curvilinear acquisition trajectories
- Researched a novel SAR acquisition geometry
- Circular SAR”
Publications
Estimation of Capillary Pressure Curves from Centrifuge Measurements Using Inverse Methods
Rio Oil & Gas
N/A
2018 - 2018
- Authored with Felipe M. Eler, Heitor V.R. Carmargo, André L.M. Compan, Dario A. Cruz and Carlos E. Pedreira.
Applications of Time-Domain Back-Projection SAR Processing in the Airborne Case
European Conference on Synthetic Aperture Radar
N/A
2008 - 2008
- Authored with Pau Prats and Rolf Scheiber