Latest Articles/Papers
Science is about curiosity; Data Science is asking the right questions
(19 May 2021)
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Reading wells from SPE data repository
(8 March 2021)
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How deep should I go in learning data science, machine learning and computer science?
(18 November 2020)
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The introductory tutorial to my package rTorch has just been released
(14 October 2020)
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My R package rTorch 0.4.2 accepted by CRAN
(12 October 2020)
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Unpublished
Published
2021
2020
- How deep should I go in learning data science, machine learning and computer science?. (18 November 2020) More Online
- The introductory tutorial to my package rTorch has just been released. (14 October 2020) More Online
- My R package rTorch 0.4.2 accepted by CRAN. (12 October 2020) More Online
- rProsper adds batch automation, dataframe generation. (15 September 2020) More Online
- Building a gallery of TikZ graphics with R. (1 June 2020) More Online Github
- Transcript of interview to John Hopfield by Lex Fridman. (20 April 2020) More Online pdf Github
- Transcript of interview to Stuart Russell by Lex Fridman. (19 January 2020) More Online Github
2019
- Transcript of interview of Noam Chomsky by Lex Fridman. (2 December 2019) More Online Github
- Is there a clash between Data-driven modeling vs Physics-based modeling?. (6 November 2019) More
- Transcript of interview of Ian Goodfellow by Lex Fridman. (24 October 2019) More Online Github
- Transcript of interview of Peter Norvig by Lex Fridman. (13 October 2019) More Online Github
- Any Petroleum Engineer can do reproducible Machine Learning. (22 September 2019) More Online Github
- A Generative Adversarial Networks (GAN) in rTorch for creating synthetic datasets. Season 1 Episode 1. (29 August 2019) More Online Github
- Transforming Petroleum Engineers in Data Science Wizards. Update 2019. (29 July 2019) More Online
- R and Python commingled: RPyStats in Windows and Linux. Season 1, Episode 6. (18 July 2019) More Online
- R and Python commingled: Creating a PyTorch project with RPyStats. Season 1, Episode 5. (17 July 2019) More Online
- R and Python commingled: Creating a PyTorch project with RPyStats. Season 1, Episode 4. (16 July 2019) More Online
- R and Python commingled: preparing your machine for RPyStats. Season 1, Episode 3. (15 July 2019) More Online
- R and Python commingled: a Hello World of RPyStats. Season 1, Episode 2. (14 July 2019) More Online
- R and Python commingled: how to get the best of both worlds. Season 1, Episode 1. (12 July 2019) More Online
- Podcast - Petroleum Engineering Data Science. (7 May 2019) More Online
- When Petrophysics Meets 'Data Science': What can Machines Do?. (21 April 2019) More Online pdf
- The impact of the Volve dataset. (29 March 2019) More Online
- Integrating Python and R for data science. Converting Eclipse binary files to dataframes in the Volve dataset. (22 March 2019) More Online
- A reproducible comparison of the Volve reservoir model. (12 March 2019) More Online
- 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 Online
- Exploring drilling data from the Volve dataset with WITSML and R. (27 January 2019) More Online
- Evolution of data science, machine learning and artificial intelligence in Petroleum Engineering papers. (13 January 2019) More Online Github
- Being proven wrong on Linux every day. (11 January 2019) More Online
- 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 Amazon 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.". (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