Andy McDonald

Petrophysics-Python-Series. A series of Jupyter notebooks showing how to load well log and petrophysical data in python.

Andys_YouTube_Notebooks. Jupyter Notebook

las_explorer. LAS Explorer is a Streamlit web app that allows you to understand the contents of a LAS file. Also includes the ability to identify missing data intervals.

cookiecutter-streamlit. Python

streamlit_tutorial_series. Python

Unsupervised_Facies_Clustering. An example of carrying out unsupervised cluster analysis for facies prediction from Well Logs

pypetrophysics. Library of petrophysical calculations

Petrophysics-and-Python. Python

spwla_2022_machine_learning_workshop. Jupyter Notebook

Synthetic_Log_Generator. Generate synthetic well logs based on a simple Earth model.

andymcdgeo.

welly_petrophysics_notebooks. Jupyter Notebook

missingno_tutorial. Jupyter Notebook

andymcdgeo_examples. Jupyter Notebook

Petrophysical_Property_Prediction_With_ML.

jupyter_notebook_template. Jupyter Notebook

seaborn_tutorial_series. Jupyter Notebook

real_time_log_data_simulator. Experiment to create real time simulations of log data

pywells. Lasso

force2020_lith_prediction. Jupyter Notebook

Udemy-Python-Bootcamp. Simple Python scripts created whilst working through the course

spwla_volve. Lasso

ExploratoryDataAnalysis_YT. Notebooks Demonstrating Python EDA Tools

andymcdonald-github-old. Public Website