• Organization: Department of Energy
• Updated: 2021-05-17T15:57:18Z

Our GeoThermalCloud framework is designed to process geothermal datasets using a novel toolbox for unsupervised and physics-informed machine learning called SmartTensors. More information about...

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• Organization: Department of Energy
• Updated: 2022-05-26T16:04:57Z

Geothermal exploration and production are challenging, expensive and risky. The GeoThermalCloud uses Machine Learning to predict the location of hidden geothermal resources. This submission...

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• Organization: Department of Energy
• Updated: 2024-05-21T22:17:38Z

In this paper, we present an analysis using unsupervised machine learning (ML) to identify the key geologic factors that contribute to the geothermal production in Brady geothermal field. Brady is...

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