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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
3-D Geologic Controls of Hydrothermal Fluid Flow at Brady Geothermal Field, Nevada using PCA
- Organization: Department of Energy
- Dataset Last Updated: November 23, 2021 at 04:27 PM
In many hydrothermal systems, fracture permeability along faults provides pathways for groundwater to transport heat from depth. Faulting generates a range of deformation styles that cross-cut...
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Search relevance: 1.00 | Views last month: 4 | Catalog Last Checked: August 03, 2026 at 01:00 AM

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