Learn more about Geochemistry and paleo-geothermal features - Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada, a dataset from National Renewable Energy Laboratory (NREL), on Open Net Zero

Geochemistry and paleo-geothermal features - Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada

L o a d i n g

Organization

National Renewable Energy Laboratory (NREL) - view all

Update frequencyunknown

Last updated5 days ago

Format

ZIP

Overview

This submission contains the geochemistry dataset and paleo-geothermal features (sinter, travertine, tufa) (shapefiles and symbology) used in the Nevada Geothermal Machine Learning project. A submission linking the full GitHub repository for our machine learning Jupyter Notebooks will appear in the related datasets section of this page once available.

Machine Learning Nevada Play Fairway characterization code energy geochemistry geophysics geospatial geospatial data geothermal geothermometry paleo-geothermal sinter travertine tufa

Additional Information

KeyValue

Dcat Issued2020-11-01T06:00:00Z

Dcat Modified2022-10-26T16:19:59Z

Dcat Publisher NameNevada Bureau of Mines and Geology

Guidhttps://data.openei.org/submissions/7466

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Files

Geochem and Geothermometry 2020.zip
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Paleo-Geochem Features 2020.zip
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