Pandas Dataframes - Data Aggregation Using Geological Lithology Data

Using data aggregation techniques can help us transform an overwhelming and almost incomprehensible numeric dataset into something that is easily digestible and much more reader-friendly. The process of data aggregation involves summarising multiple data points into single metrics that can be used to provide a high-level overview of the data.
One way we can apply this process within petrophysics and geoscience is to summarise the lithological composition of geological formations that have been interpreted from well log measurements.
Within this short tutorial, we will see how we can take a large dataset consisting of 90 plus wells from the Norwegian Continental Shelf, and extract the lithology composition of the Zechstein Group.
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[@gmostafaali]

Very useful content. Thank you Mr Andy!

[@carreiraPhD]

Thanks for the video Andy. I would like to know more about regarding the infpo graphics. How we can start doing it? It was done using matplotlib?

[@utkarshkumar3296]

Request you to please upload tutorial on processing climate netcdf data file

[@petroali6412]

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