Rafael
Arenhart
Modeling and Simulation Engineer
Doctor in Materials Science and Engineering with experience in scientific programming.
Personal Info
Phone
-
Email-Skype
rafael.arenhart
Linkedin
www.linkedin.com/in/rafael-arenhart
Github
github.com/Arenhart/
Education
2012 - 2016: Doctor of Materials Science and Engineering, Federal University of Santa
Catarina
Thesis: Conductivity models in conductive composites with Monte Carlo simulation on continuous space
2010 - 2012: Master of Materials Science and Engineering, Federal University of Santa
Catarina
Monograph: Prediction method for the percolation threshold and electrical conductivity in polymeric composites with
Monte Carlo simulation
2005 - 2009: Bachelor of Materials Engineering, Federal University of Santa Catarina
Monograph: Mathematical simulation of curing kinetics of thermoplastics as a tool for study of incompatibility
between lots of powder paint
Skills
Work experience
- Python
2017 - 2017 Lecturer, part time, Barddal college
- Numpy
Lecturer on structural calculus
- Scipy
- Scikit-image
2016 - 2020 Modeling and Simulation Engineer, Porous Media and Thermodynamic
Properties Laboratory
- Numba
Developed and implemented models and algorithms for voxelized image proessing and computational fluid dynamics; Coordinated
-C
efforts beteween the scientific and programming teams; Provided in-company training.
- Mathematical Modeling
Research projects
- Computational Fluid Dynamics
- Image Processing
2019 CARBLAB - Geochemistry, Microscopy, Mineralogy, Petrophysics, Porous systems
and Hydromechanical/Geomechanical analysis
Broaden the knowledge over mineralogy, textures, geochemistry, porous systems, and petrophysical properties of carbonate rocks,
using techniques of data analysis, petrophysical characterization, and textural and compositional microanalysis techniques,
providing parameters that contribute to the modelling of permeo-porosity in carbonate reservoirs in pre-salt formation.
2018 Imago3D: Digital Rock applied to porous multiscale systems
Development of the Imago3D software, aimed at the characterization of porous 3D systems and at the prediction of Petrophysical
properties. Included functionalities are: i) Characterization and prediction of petrophysical properties in multiscale systems; ii)
Carbonate rock classification; And iii) Quantitative visualization experiments for fluids distribution in porous systems. The present
project is part of the Digital Rock research field, taking advantage of the voxelized 3D images of porous media obtained with x-ray
microtomography.
2017 Computational methods for measuring the petrophysical properties based on
microtomographic images obtained in representative conditions of multiscale reservoirs.
Development of Digital Rock techniques for petrophysycal characterization of pore systems.
2016 Multiscale Porous Systems: Characterization, computational petrophysics and
experimental quantifying of fluid distribution with high resolution x-ray tomography
Research project on the field of Digital Rocks applied to multiscale carbonate rocks. The stated objectives are i) Refinement of
techniques and methods of morphology and connectivity characterization of carbonate rocks based on voxelized 3D images
acquired with high resolution x-ray tomography; ii) Development and implementation of numeric mathematical models for spacial
scale integration of pore systems using multiscale preserving pore-throat networks; iii) Simulations of Petrophysical properties,
capillary pressure curves, and absolute permeability with the aim of validation; iv) Experimental visualization and quantification of
fluid phases in mechanical equilibrium inside the pore system using x-ray microtomography.
2012 Development of innovative materials solutions for fabrication of new types of
compressors
Development of materials for thermal management and heat exchanger in compressors.
Patents and publications
2018 Conductive Composites Based on Polyurethane and Nanostructured Conductive Filler
of Montmorillonite/Polypyrrole for Electromagnetic Shielding Applications, Materials
Research (Article, co-author)
PDF created using reportlab library
Script cv_maker.py available at:
https://github.com/Arenhart/Other
11 / 05 / 2020
2015 WO- - Process For Increasing The Adhesion Of A Reinforcing Inorganic
Material In A Polymeric Matrix, A Reinforcing Inorganic Material, A Process For Obtaining A
Thermoplastic Composite Material, A Thermoplastic Composite Material, And A
Thermoplastic Composite Article (Patent)
2014 Simulation of percolation threshold and electrical conductivity in composites filled with
conductive particles: Effect of polydisperse particle size distribution, Polymer Composites
(Article, main author)
2014 Predicting the electrical properties of conductive composites, Plastics Research Online
(Article, main author)
Other achievements
2019 Review Editor for Polymeric and Composite Materials Journal
2012 Voluntary lecturer on Calculus and Mathematic Modelling undergraduate course (2012
- Voluntary lecturer on Digital Image Processing and Acquisition graduate course (2017
- 2019)
Presentations
2012 Influence of reaction medium pH and composition in the efficiency of surface mod,
presented at XI Materials Research Society Meeting
Courses
2019 Nanodegree in Data Science Foundations II - Udacity
2019 Introduction to Oil and Gas Drilling - Udemy
2019 The Ultimate Oil & Gas Economics - Udemy
2019 Advanced Oil Recovery - 10BCOG
2018 C Programming with visual studio - Udemy
2012 An Introduction to Interactive Programming in Python - Coursera
Scholarship
2012 Doctorate scholarship from CAPES (Superior Education Personnel Betterment
Coordination),- Masters scholarship from CAPES (Superior Education Personnel Betterment
Coordination),-
Presentation
2019 Incorporation Of Cation Exchange Capacity In Finite Differences Simulation of
Formation Factor In Multiscale Shaly Rock Reservoirs, presented at XL
Ibero-Latin-American Congress on Computational Methods in Engineering
2019 Pore network characterization in reservoir rocks by image segmentation and shape
factor quantification, presented at X Brazillian Congress on Oil & Gas R&D;
2013 Monte Carlo simulation of percolation threshold and conductivity in composites with
fiber-like fillers: influence of aspect ratio polydispersity and tunneling resistance, presented
at XII Materials Research Society Meeting
