Latest Articles/Papers

Integrating Python and R for data science. Converting Eclipse binary files to dataframes in the Volve dataset (22 March 2019) More A reproducible comparison of the Volve reservoir model (12 March 2019) More The fabrication of an artificial intelligence agent for reservoir history matching from the Volve dataset (5 March 2019) More DOI

Unpublished

Published

2019

  • Integrating Python and R for data science. Converting Eclipse binary files to dataframes in the Volve dataset. (22 March 2019) More
  • A reproducible comparison of the Volve reservoir model. (12 March 2019) More
  • The fabrication of an artificial intelligence agent for reservoir history matching from the Volve dataset. (5 March 2019) More DOI
  • Descending into the bottomhole. A Marching Algorithm for Vertical Lift Performance in Petroleum Engineering. (5 February 2019) More
  • Exploring drilling data from the Volve dataset with WITSML and R. (27 January 2019) More
  • Evolution of data science, machine learning and artificial intelligence in Petroleum Engineering papers. (13 January 2019) More Online  Github
  • How do you sell a data science project to your boss. (8 January 2019) More Online
  • Why I decided to publish data science in a blog. (7 January 2019) More Online

2018

  • How can a Petroleum Engineer kick start with Data Science?. (4 December 2018) More Online
  • Best Practices for the Construction of Well Models (from the data science perspective). (2 December 2018) More Online slideshare
  • Scripts for Well Modeling and Batch Automation. (29 November 2018) More Online slideshare
  • A book review: Fundamentals of Data Visualization. (11 September 2018) More Online
  • For what things R programming language is better than Python?. (10 September 2018) More Online
  • An Artificial Lift Method Selector for Petroleum Engineering written in R. (18 July 2018) More Online
  • Is R as versatile as Python?. (4 July 2018) More Online
  • The most used Machine Learning algorithms in Petroleum Engineering. (28 March 2018) More Online
  • A Machine Learning paper research on Petroleum Engineering. (25 March 2018) More Online
  • Paper research in Petroleum Engineering: Do you know how to spell Gas Lift?. (24 January 2018) More
  • Virtualization brings Reproducibility to your Petroleum Engineering Workflow. (3 January 2018) More

2017

  • Text Mining for Petroleum Engineering: Modern Techniques for Paper Research. (24 November 2017) More Online  Github
  • Building your petroleum engineering library with R: Muskat's Material Balance Equation ODE. (9 November 2017) More Online  Github
  • R for Petroleum Engineers: text mining for SPE papers. (27 October 2017) More Online
  • Building your own petroleum engineering library with R: zFactor v0.1.7. (23 October 2017) More Online
  • Building your own petroleum engineering library: zFactor has a website. (8 October 2017) More Online
  • When Data is Too Big to Sail (in my RAM). (6 October 2017) More Online
  • Data Science for Petroleum Engineering: extracting metadata from papers in OnePetro. (1 October 2017) More Online
  • Neural Networks for Petroleum Engineering. (25 September 2017) More Online
  • Data Science for Petroleum Engineering: How does someone become good at Deep Learning?. (23 September 2017) More Online
  • Data Science for Petroleum Engineering. Part 6 - Tidy data. (13 September 2017) More Online
  • Transforming Petroleum Engineers in Data Science Wizards. (25 August 2017) More Online
  • Data Science for Petroleum Engineering - Part 5.3 Finding and filling missing well data in alphanumerics. (24 August 2017) More Online
  • Data Science for Petroleum Engineering - Part 5.2: Finding and filling missing data. (22 August 2017) More Online  pdf
  • Data Science for Petroleum Engineering - Part 5: "Transforming Excel well raw data into datasets.‚Äč". (18 August 2017) More Online  pdf
  • Data Science for Petroleum Engineering - Part 5.1: Data Introspection with R. (17 August 2017) More Online
  • Data Science for Petroleum Production Engineering 3: Anonymizing Well Data. (4 August 2017) More Online
  • Growing your petroleum engineering library: calling FORTRAN from R. (21 July 2017) More Online
  • Multiple VLP correlations on well segments. (12 July 2017) More Online
  • Building your own petroleum engineering library with "R": humble beginnings with the compressibility factor 'z'. (3 July 2017) More Online
  • "R" and the search of the ideal language for petroleum engineering. (21 April 2017) More Online

2016

  • Data Science for Petroleum Production Engineering. Part 2: Acquiring the data. (16 April 2016) More Online
  • Data Science for Petroleum Production Engineering. (14 April 2016) More Online
  • Cloudy with no chance of rain. (27 March 2016) More Online