Roberto Mentzingen Rolo

Profile:

Roberto is a Mining Engineer graduated from the Federal University of Ouro Preto (Brazil). He holds a MSc and PhD in Geostatistics from the Federal University of Rio Grande do Sul (Brazil) with a focus on implicit geological modeling and uncertainty assess in geological models. Roberto possesses experience in multivariate ore grades estimation and simulation workflows, resources classification and drill hole spacing analysis. He is proficient in Python programming and experienced in applying Machine Learning techniques to geosciences. He currently serves as a Senior geostatistics and data science consultant at Geovariances.

Where I am:

Work experience:

Geovariances

Senior geostatistics and data science consultant

Avon, France - Presential

from mars 2024 to present

Development of custom geostatistical and machine learning based solutions for the mining industry using Python together with the geostatistical software Isatis.neo.
Training and mentoring in geostatistics and Python.
Consulting in geostatistics.

Eramet

Geostatistical specialist

Halmahera, Indonesia - Presential

from september 2023 to mars 2024

Upgrading, maintenance and improvement of the recoverable resource models scripts.
Assessment and interpretation of data and results.
Drill hole spacing and resources classification studies.
Reconciliation program.
Implementation and proposition of good practices.
Team training in geostatistics and Python.

Geovariances

Mineral resources consultant

Belo Horizonte, Brazil - Remote

from february 2022 to semptember 2023

Development of custom geostatistical and machine learning based solutions for the mining industry using Python together with the geostatistical software Isatis.neo.
Training and mentoring in geostatistics and Python.
Consulting in geostatistics.

External consultant - part time

Belo Horizonte, Brazil - Remote

from september 2021 to february 2022

Development of custom geostatistical and machine learning based solutions for the mining industry using Python together with the geostatistical software Isatis.neo.

Environment and Infrastructure State Secretary of the State of Rio Grande do Sul

Mining engineer

Porto Alegre, Brazil - Presential

from november 2019 to february 2022

Water resources management for mining and energy projects (hydric and thermoelectric).
Planning and execution of public policies and production of reports and diagnoses with the objective of promoting the mining industry in the state of Rio Grande do Sul.

Advanced Resources and Risk Technology – AR2Tech

Geostatistician - part time

Denver, USA - Remote

from december 2018 to june 2020

Production of ar2gas geostatistical software documentation.
Development of scripts and widgets for the geostatistical software ar2gas.
Development of custom geostatistical and machine learning based workflows using Python together with the geostatistical software ar2gas for the mining and oil industry.

Mineral Exploration and Mine Planning Laboratory – LPM/UFRGS

Researcher

Porto Alegre, Brazil - Presential

from march 2015 to november 2019

Research in implicit geologic modeling, uncertainty assessment in geological models, grades estimation and geologic modeling using neural networks and clustering algorithms applied to defining geostatistical domains.
Teaching assistant of the geostatistics and machine learning classes of the Graduate Program in Mining, Metallurgical and Materials Engineering at UFRGS.
Professor of the Python Applied to Geostatistics class of the Graduate Program in Mining, Metallurgical and Materials Engineering at UFRGS.
Taught Python and geostatistics courses in company.

Education:

Federal University of Rio Grande do Sul – UFRGS

Doctor's degree in Geostatistics

Conclusion: july 2021

Thesis: Geologic modeling and uncertainty assess using signed distances functions

Federal University of Rio Grande do Sul – UFRGS

Master's degree in Geostatistics

Conclusion: january 2017

Dissertation: Implicit geologic modeling using signed distances functions

Federal University of Ouro Preto – UFOP

Bachelor's degree in Mining Engineering

Conclusion: september 2013

Undergraduate thesis: Study of technical aspects essential to the evaluation of mineral reserves

Selected project:

LogNow!

An Android app to log drill holes and upload it to a server.

PyLPM

Python library for teaching geostatistics. All graphs and maps are interactive, including variogram modeling.

Simplified dam-break flood modeling

Implementation in Python for the simplified methodology to define the flood spot in the event of a dam failure.

LPM-Geomod_Suite

Python plugin suite for implicit geological modeling and uncertainty assess for the geostatistical software SGeMS/AR2GeMS.

Minera - RS Maps

Diagnosis of mining in State of Rio Grande do Sul (Brazil) on maps.

Hydric balance

An alternative to the SIOUT - RS hydric balance tool (www.siout.rs.gov.br).

Clustering analysis dashboard

An interactive dashboard for clustering analysis.

Skills:

Languages

English: C1 Advanced TOEFL iBT
French: B1 Intermediate DELF mockup
Spanish: Basic Passed the UFRGS proficiency exam
Portuguese: Native

Programming

Python • Bash • Kotlin

Journal reviewer:

Publications:

Journals:

A Python implementation for the simplified dam-break flood modeling

Brazilian Journal of Water Resources - 2022

Comparação de métodos de interpolação espacial para construção de modelos blocos geomecânicos a partir de descrição geomecânica de testemunhos de sondagem

Revista Principia - 2021

Previous classification of rock mass surrounding underground excavations and rock support design using block models

REM - International Engineering Journal - 2021

Classificação Geomecânica Prévia do Maciço Rochoso do Entorno de Escavações Subterrâneas Usando Modelos de Blocos Estimados por Krigagem dos Indicadores. Estudo de Caso: Mineração Fazenda Brasileiro – Bahia/brasil

HOLOS - 2021

Boundary Simulation – A Hierarchical Approach for Multiple Categories

Applied Earth Science - 2021

Assessing Geologic Model Uncertainty – A Case Study Comparing Methods

REM - International Engineering Journal - 2019

Using Mahalanobis Distance to Detect and Remove Outliers in Experimental Covariograms

Natural Resources Research - 2018

Signed Distance Function Implicit Geologic Modeling

REM - International Engineering Journal - 2017

Events:

Machine Learning Driven Domain Modeling for Stratigraphic Deposits

Application of Computers and Operations Research in The Mineral Industry - 2023

Integrating Machine Learning with Geostatistics for Grade Control Models

Application of Computers and Operations Research in The Mineral Industry - 2023

Use of Non-linear Estimates and Local Anisotropy in Mineral Resource Modeling

Application of Computers and Operations Research in The Mineral Industry - 2023

Defining geometalurgical domains in a phosphate mine using machine learning

International Conference on Mineral Processing and Geometallurgy - 2022

PyLPM - Uma Biblioteca Geoestatística de Código Aberto em Python

Congresso Brasileiro de Minas a Céu Aberto e Minas Subterrâneas - 2021

Utilização de Técnicas de Agrupamento na Definição de Estacionariedade

Congresso Brasileiro de Minas a Céu Aberto e Minas Subterrâneas - 2018

Modelagem Geológica Implícita Automática Via Tabela de Covariância com Funções Distância Assinaladas

Congresso Brasileiro de Minas a Céu Aberto e Minas Subterrâneas - 2018

Utilização da Distância de Mahalanobis para Detecção e Remoção de Valores Extremos Multivariados em Funções de Continuidade Espaciais Experimentais - Um Estudo de Caso em Depósitos de Ouro

Congresso Brasileiro de Minas a Céu Aberto e Minas Subterrâneas - 2018

Incerteza Associada ao Modelamento Implícito e Hierárquico

Congresso Brasileiro de Minas a Céu Aberto e Minas Subterrâneas - 2018

Modelagem Geológica Implícita com Funções Distância Assinaladas via Tabela De Covariância

Congresso Brasileiro de Geologia - 2018

Assesing Implicit Geologic Model Uncertainty Using Signed Distances

Application of Computers and Operations Research in The Mineral Industry - 2017

Determinação Implícita da Espessura de Camadas de Carvão com Funções Distância Assinaladas

V Congresso Brasileiro de Carvão Mineral - 2017

Videos:

Machine Learning applied to geosciences and mining - Webinar

Use of machine learning to optimize ore control models in mining operations - Life of mine symposium 2023

Defining geometalurgical domains in a phosphate mine using machine learning - Geomet 2022

Geologic modeling and uncertainty assess using signed distances functions - Thesis defense

Radial basis functions neural networks for ore grades estimation - II LPM workshop

Implicit geologic modeling - I LPM workshop

Interests:

Linux • Arch • Android • Window Managers • LaTeX • programming • UX Design • Metalcore • JRPG • Aviation • Invesments • ThinkPads • Board Games • Beer • Science • Mechanical keyboards • Crypto coins • Graphical design • 3D modeling • HxCx • FOSS • Barbecue • Magic the Gathering • Flight simulation • Dashboards • Web scraping