Search GDR Data

Showing results 1 - 2 of 2.
Show results per page.
Order by:
Available Now:
Clear All Filters ×
Topic
Technologies
Demonstration Sites
Data Type
"MW capacities"×
AI and ML Models×

USGS Geophysics, Heat Flow, and Slip and Dilation Tendency Data used in Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada

Jun 01, 2021
Size unavailable
Publicly accessible
This package contains USGS data contributions to the DOE-funded Nevada Geothermal Machine Learning Project, with the objective of developing a machine learning approach to identifying new geothermal systems in the Great Basin. This package contains three major data products (geoph...
Authors
DeAngelo, J. et al Nevada Bureau of Mines and Geology
geothermalenergygeophisicsnevadaslipdilationheat flowgravitymagneticsfaultsgeotiffsmachine learningexplorationcharacterizationhydrothermalgreat basingeophysicspfa

Stanford Thermal Earth Model for the Conterminous United States

Mar 14, 2024
21.57 GB
Publicly accessible
Provided here are various forms of the Stanford Thermal Earth Model, as well as the data and methods used for its creation. The predictions produced by this model were visualized in two-dimensional spatial maps across the modeled depths (0-7 km) for the conterminous United States....
Authors
Aljubran, M. and Horne, R. Stanford University
thermal earth modeltemperaturegeothermalenergystanfordtemperature-at-depthheat flowrock thermal conductivityinterpignnphysics-informedgraph neural networksmachine learningmodeltemperature modelarcgisapimodel inputsmodel outputsdata-drivenspatial interpolationalgorithmheat conductionbottomhole temperature