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WHOLESCALE: Seismic Waveform Data from San Emidio, Nevada 2022
Included here is a link to seismic waveform data collected at San Emidio, Nevada in 2022. The seismic instruments used were provided by EarthScope Consortium through the EarthScope Primary Instrument Center at New Mexico Tech. Data collected are available here through EarthScope ...
Lord, N. et al University of Wisconsin Madison
Apr 05, 2022
3 Resources
0 Stars
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3 Resources
0 Stars
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Structural Controls of the Tuscarora Geothermal Field, Elko County, Nevada MS Thesis
Detailed geologic mapping, structural analysis, and well data have been integrated to elucidate the stratigraphic framework and structural setting of the Tuscarora geothermal area. Tuscarora is an amagmatic geothermal system that lies in the northern part of the Basin and Range pr...
Dering, G. and Faulds, J. University of Nevada
May 31, 2013
1 Resources
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1 Resources
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Structural Controls of the Neal Hot Springs Geothermal System, Eastern Oregon
Detailed geologic mapping (1:24,000 scale), structural and geochemical analyses, and integration of available geophysical and well-field data were utilized to assess the structural controls of the Neal Hot Springs geothermal field in eastern Oregon. The geothermal field lies withi...
Edwards, J. and Faulds, J. University of Nevada
May 31, 2013
1 Resources
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1 Resources
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Hybrid machine learning model to predict 3D in-situ permeability evolution
Enhanced geothermal systems (EGS) can provide a sustainable and renewable solution to the new energy transition. Its potential relies on the ability to create a reservoir and to accurately evaluate its evolving hydraulic properties to predict fluid flow and estimate ultimate therm...
Elsworth, D. and Marone, C. Pennsylvania State University
Nov 22, 2022
4 Resources
0 Stars
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4 Resources
0 Stars
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WIND Toolkit Long-Term Ensemble Dataset
WIND Toolkit Long-term Ensemble Dataset (WTK-LED), an updated version of the meteorological WIND Toolkit, is a meteorological dataset providing high-resolution time series, including interannual variability and model uncertainty of wind speed at every modeling grid point to indica...
Wang, J. et al National Renewable Energy Laboratory (NREL)
Jan 24, 2024
7 Resources
1 Stars
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7 Resources
1 Stars
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INTEGRATE Inverse Network Transformations for Efficient Generation of Robust Airfoil and Turbine Enhancements
The INTEGRATE (Inverse Network Transformations for Efficient Generation of Robust Airfoil and Turbine Enhancements) project is developing a new inverse-design capability for the aerodynamic design of wind turbine rotors using invertible neural networks. This AI-based design techno...
Vijayakumar, G. et al National Renewable Energy Laboratory (NREL)
May 04, 2021
8 Resources
0 Stars
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8 Resources
0 Stars
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