Description
Geothermal exploration and production are challenging, expensive and risky. The GeoThermalCloud uses Machine Learning to predict the location of hidden geothermal resources. This submission includes a training dataset for the GeoThermalCloud neural network. Machine Learning for Discovery, Exploration, and Development of Hidden Geothermal Resources.
Resources
| Name | Format | Description | Link |
|---|---|---|---|
| AR Training Dataset 3D_diff.hdf5 | Unknown | Dataset of type HDF5 for training NN (neural network). The Parameters Documentation resource in this submission outlines the input and output parameters of the dataset. | Open resource |
| Parameters Documentation.txt | Text | This documentation explains the organization of the AR Training Dataset for the GeoThermalCloud Neural Network. Parameters detailed include the input and output parameters. | Open resource |
| GeoThermalCloud GitHub | Unknown | Geothermal Cloud for Machine Learning. Includes the code used in the GeoThermalCloud Project. | Open resource |