Subject ▸ data structures

Exploring drilling data from the Volve dataset with WITSML and R

Introduction This time we will be exploring drilling data that is stored using the industry standard WITSML. This format is widely used in the industry in drilling, completion and intervention operations, specifically for real-time surveillance. WITSML stands for Wellsite Information Transfer Standard Markup Language. It has a series of rules to save the data as a consistent schema but essentially is XML. Software developers and IT professionals in the oil industry know it very well.

Data Science for Petroleum Engineering. Part 6 - Tidy data

One of the first concepts that one learns when working with data is rearranging raw data into tidy datasets. A tidy dataset not only means having the data in a row-column format but in such a way that a row corresponds to an observation and a column to a variable. This facilitates enormously the analysis. I know this could sound a little bit confusing, so I will show what raw data and tidy data looks like with an example.