Matplotlib figures can contain multiple subplots to allow you easily visualize your data using different chart types. In this video, we look at creating a static matplotlib dashboard image of core data obtained from the Volve Field Dataset, which is publicly available here: www.equinor.com/en/what-we-do...
These dashboards can easily be adapted to show different types of well log data and petrophysics related interpretations.
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Chapters:
0:00 Introduction
0:36 Jupyter Notebook Section
10:34 Summary
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Books I Recommend:
As an Amazon Associate I earn from qualifying purchases. By buying through any of the links below I will earn commission at no extra cost to you.
PYTHON FOR DATA ANALYSIS: Data Wrangling with Pandas, NumPy, and IPython
UK: amzn.to/3HNycJ9
US: amzn.to/3DL7qPv
FUNDAMENTALS OF PETROPHYSICS
UK: amzn.to/3l1PgSf
PETROPHYSICS: Theory and Practice of Measuring Reservoir Rock and Fluid Transport Properties
UK: amzn.to/30UNWZS
US: amzn.to/3DNqBbd
WELL LOGGING FOR EARTH SCIENTISTS
UK: amzn.to/3FHsbfn
US: amzn.to/3CILAuE
GEOLOGICAL INTERPRETATION OF WELL LOGS
UK: amzn.to/3l2v2HV
US: amzn.to/30UOTkU
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The notebook for this video can be found on my GitHub repository at: github.com/andymcdgeo/Andys_Y...
Libraries used in this video:
pandas: pandas.pydata.org
matplotlib: matplotlib.org
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Thanks for watching, if you want to connect you can find me at the links below:
/ andymcdonaldgeo
/ geoandymcd
/ andymcdonaldgeo
www.andymcdonald.scot/
#matplotlib #petrophysics #python #histograms #welllogs #jupyternotebooks #geoscience