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USGS Contributions to the Nevada Geothermal Machine Learning Project (DE-FOA-0001956): Heat Flow Data

January 12, 2022

This package contains a map surface that depicts the estimated spatial variation of conductive heat flow (mW/m?) in a portion of northern Nevada, the extent of the ?Nevada Machine Learning Project? (DE-EE0008762). It was generated using well locations that had an estimated heat flow value from a measured thermal gradient and thermal conductivity, mainly using data from Southern Methodist University, with some additional USGS data. Well data are included along with and a map surface depicting estimated standard error of the heat flow interpolation.

Publication Year 2022
Title USGS Contributions to the Nevada Geothermal Machine Learning Project (DE-FOA-0001956): Heat Flow Data
DOI 10.5066/P9HRX1LR
Authors Jacob DeAngelo, Mark F. Coolbaugh
Product Type Data Release
Record Source USGS Digital Object Identifier Catalog
USGS Organization Geology, Minerals, Energy, and Geophysics Science Center
Rights This work is marked with CC0 1.0 Universal
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