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#1 Federal
Machine Learning to Identify Geologic Factors Associated with Production in Geothermal Fields: A Case-Study Using 3D Geologic Data from Brady Geothermal Field and NMFk
- Organization: Department of Energy
- Dataset Last Updated: May 21, 2024 at 10:17 PM
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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Search relevance: 1.00 | Views last month: 10 | Catalog Last Checked: August 03, 2026 at 01:00 AM
#2 Federal
GeoThermalCloud framework for fusion of big data and multi-physics models in Nevada and Southwest New Mexico
- Organization: Department of Energy
- Dataset Last Updated: May 17, 2021 at 03:57 PM
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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Search relevance: 1.00 | Views last month: 1 | Catalog Last Checked: August 03, 2026 at 01:00 AM

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