GeostatsGuy/PythonNumericalDemos

Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.

61
/ 100
Established

This project offers well-documented Python demonstrations to help students and professionals understand and apply data analytics, geostatistical, and machine learning concepts. It provides hands-on workflows that take raw spatial data and transform it into insights for subsurface modeling. Geoscientists, reservoir engineers, and data analysts learning these methods would find this valuable.

1,470 stars.

Use this if you are a student or professional in geology, petroleum engineering, or data science who needs practical, step-by-step examples to learn how to apply spatial data analytics and geostatistical models.

Not ideal if you are looking for a plug-and-play software tool or a general-purpose machine learning library without a focus on spatial and geological data.

geostatistics spatial-data-analysis reservoir-modeling subsurface-characterization petroleum-engineering
No Package No Dependents
Maintenance 10 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 25 / 25

How are scores calculated?

Stars

1,470

Forks

502

Language

Jupyter Notebook

License

MIT

Last pushed

Mar 03, 2026

Commits (30d)

0

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