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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

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 a hydrothermal system in northwestern Nevada that supports both electricity producti...

Siler, D. et al United States Geological Survey

Oct 01, 2021
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University of Illinois Campus Deep Direct-Use Feasibility Study Geological Characterization of the St. Peter Sandstone

These studies undertook detailed analyses of the formations within the Cambro-Ordovician strata above the Mt. Simon Sandstone in the Illinois Basin, including the St. Peter Sandstone, for geological storage and mineral potential.

Lin, Y. et al University of Illinois

Mar 30, 2018
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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

University of Illinois Campus Deep Direct-Use Feasibility Study Geological Characterization of the St. Peter Sandstone