01 - Loading and Displaying Well Data From CSV.ipynb
02 - Displaying a Well Plot with MatPlotLib.ipynb
03 - Displaying Histograms and Crossplots.ipynb
04 - Displaying Core Data and Deriving a Poro Perm Relationship.ipynb
05 - Petrophysical Calculations.ipynb
06 - Displaying Formations on Log Plots.ipynb
07 - Working With LASIO.ipynb
08 - Curve Normalisation.ipynb
09 - Visualising Data Coverage - Multi Well.ipynb
10 - Exploratory Data Analysis with Well Log Data.ipynb
11 - Poro-Perm Relationships.ipynb
12 - Enhancing Log Plots With Plot Fills.ipynb
13 - Displaying LWD Image Data.ipynb
14 - Displaying Lithology Data.ipynb
15 - Loading Multiple LAS files to a Dataframe.ipynb
16 - Advanced Well Log Plots - Adding Formation Data to a Well Log Plot.ipynb
17 - Loading DLIS Data.ipynb
18 - Unsupervised Clustering for Lithofacies.ipynb
19 - Getting Started with Welly.ipynb
20 - Core Data Visualisation - Matplotlib subplot2grid.ipynb
21 - Identifying Outliers with Boxplots in Matplotlib.ipynb
22 - CSV File to LAS File.ipynb
23 - Pandas Profiling.ipynb
24 - Creating Poro-Perm Crossplots With Seaborn.ipynb
25 - Semi-Log Crossplot Regression.ipynb
26 - Creating Stereonets in Python.ipynb
27 - Random Forest for Lithology Classification - Multi Class Output.ipynb
27 - Random Forest for Lithology Classification.ipynb
28 - Seaborn Boxplots of Well Log Data.ipynb
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