Published in LinkedIn

• A book review: Fundamentals of Data Visualization

• For what things R programming language is better than Python?

• An Artificial Lift Method Selector for Petroleum Engineering written in R

• Is R as versatile as Python?

• The most used Machine Learning algorithms in Petroleum Engineering

• A Machine Learning paper research on Petroleum Engineering

• Paper research in Petroleum Engineering: Do you know how to spell Gas Lift?

• Virtualization brings Reproducibility to your Petroleum Engineering Workflow

• Text Mining for Petroleum Engineering: Modern Tecnhnique for Paper Research

• Building your petroleum engineering library with R: Muskat’s Material Balance Equation ODE

• R for Petroleum Engineers: text mining for SPE papers

• Building your own petroleum engineering library with R: zFactor v0.1.7

• Building your own petroleum engineering library: zFactor has a website

• When Data is Too Big to Sail (in my RAM)

• Data Science for Petroleum Engineering: extracting metadata from papers in OnePetro

• Neural Networks for Petroleum Engineering

• Data Science for Petroleum Engineering: How does someone become good at Deep Learning?

• Data Science for Petroleum Engineering. Part 6 - Tidy data

• Transforming Petroleum Engineers in Data Science Wizards

• Data Science for Petroleum Engineering - Part 5.3 Finding and filling missing well data in alphanumerics

• Data Science for Petroleum Engineering - Part 5.2: Finding and filling missing data

• Data Science for Petroleum Engineering - Part 5.1: Data Introspection with R

• Data Science for Petroleum Engineering - Part 5: Transforming Excel well raw data into datasets

• Data Science for Petroleum Production Engineering 3: Anonymizing Well Data

• Growing your petroleum engineering library: calling FORTRAN from R

• Multiple VLP correlations on well segments

• Building your own petroleum engineering library with “R”: humble beginnings with the compressibility factor ‘z’

• “R” and the search of the ideal language for petroleum engineering

• Data Science for Petroleum Production Engineering. Part 2: Acquiring the data

• Data Science for Petroleum Production Engineering