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A data science blog for Petroleum Engineering.

Topics covered

artificial-intelligence artificial-lift batch-automation business-case cloud computational-physics computer-science conference courses data-driven-vs-physics data-engineering data-science data-scientists data-structures datasets deep-learning engineering-library fluid-properties gas-lift geology geophysics geoscience latex linux literate-programming logs loose-questions machine-learning modeling open-source-software paper-research petroleum-engineering petrophysics production-technology prosper pvt python r r-package reproducibility reservoir-engineering reservoir-simulation seismic shiny spe statistics text-mining tikz to-do transcript virtualization visualization-of-data vlp volve webapp well well-data well-logs well-modeling

Subject ▸ artificial lift

An Artificial Lift Method Selector for Petroleum Engineering written in R

18 July 2018

WebApp, R, artificial lift

Introduction Inspired by a post by Fernando Ruiz at LinkedIn on an Artificial Lift tool this morning, I decided to dust off an old Excel workbook containing an old matrix with various design aspects of artificial lift. Motivation The objective of the tool is providing a quick way of analyzing the applicability of the different artificial lift methods. At present, it is not a rigorous application because the criteria is limited by the engineer’s bias.

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

24 January 2018

gas lift, artificial lift, paper research

One of the little annoyances while doing paper research in OnePetro is knowing the correct spelling of the keywords under search. It would seem insignificant but we will see in this article choosing the right keyword could have effects on the results. Let’s see a practical example. For this demonstration I will use the R package petro.One. It is available from CRAN, as free and open source project. The advantage of using petro.