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2 datasets found

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

Department of Energy —

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...
- jl
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- TEXT
- TEXT
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Federal

GeoThermalCloud framework for fusion of big data and multi-physics models in Nevada and Southwest New Mexico

Department of Energy —

Our GeoThermalCloud framework is designed to process geothermal datasets using a novel toolbox for unsupervised and physics-informed machine learning called...
- jl
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- gov
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2 datasets found

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