seg/2016-ml-contest
Machine learning contest - October 2016 TLE
This project provides winning solutions from a machine learning contest focused on geoscience. It helps geologists and petroleum engineers automatically identify rock facies (types) from well log data. You input raw well log measurements, and it outputs a classification of the rock types present, improving efficiency in subsurface analysis.
201 stars. No commits in the last 6 months.
Use this if you are a geoscientist looking for proven machine learning methods to classify subsurface rock types from well log data.
Not ideal if you need a pre-packaged, ready-to-use software application, as this project consists of contest submissions and code examples.
Stars
201
Forks
268
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Feb 03, 2017
Commits (30d)
0
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