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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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Fallon FORGE: Gravity and Magnetics Data

This package contains principal facts for new gravity data collected September November 2017 in support of the Fallon FORGE project. Also included are rock core density and magnetic susceptibility data for key core intervals, used in modeling 2D and 3D gravity inversions. Indivi...

Blankenship, D. et al Sandia National Laboratories

Mar 09, 2018
4 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
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TEAMER: Experimental Validation and Analysis of Deep Reinforcement Learning Control for Wave Energy Converters

Through this TEAMER project, Michigan Technological University (MTU) collaborated with Oregon State University (OSU) to test the performance of a Deep Reinforcement Learning (DRL) control in the wave tank. Unlike model-based controls, DRL control is model-free and can directly max...

Zou, S. et al Michigan Technological University

Mar 07, 2025
7 Resources
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Utah FORGE: Discrete Fracture Network (DFN) Data

The FORGE team is making these fracture models available to researchers wanting a set of natural fractures in the FORGE reservoir for use in their own modeling work. They have been used to predict stimulation distances during hydraulic stimulation at the open toe section of well 1...

Finnila, A. and Podgorney, R. Golder Associates Inc.

Jun 24, 2020
66 Resources
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Sodar Vaisala Triton Wind Profiler, AON1 Raw Data

**Overview** This dataset contains measurements from eight different Vaisala Triton Wind Profiler instruments. The Triton Wind Profiler is a sodar wind profiler that measures wind speed, direction, and turbulence intensity at heights from 30 m to 200 m above ground every 10 minut...

Stoelinga, M. Wind Energy Technologies Office (WETO)

Sep 07, 2015
1 Resources
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Airfoil Computational Fluid Dynamics 2k shapes, 25 AoA's, 3 Re numbers

This dataset contains aerodynamic quantities including flow field values (momentum, energy, and vorticity) and summary values (coefficients of lift, drag, and momentum) for 1,830 airfoil shapes computed using the HAM2D CFD (computational fluid dynamics) model. The airfoil shapes w...

Ramos, D. et al National Renewable Energy Laboratory (NREL)

Feb 10, 2023
3 Resources
0 Stars
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Sodar Vaisala Triton Wind Profiler, AON1 Reviewed Data

Stoelinga, M. Wind Energy Technologies Office (WETO)

Sep 30, 2015
1 Resources
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Sodar Vaisala Triton Wind Profiler, AON3 Reviewed Data

Stoelinga, M. Wind Energy Technologies Office (WETO)

Sep 30, 2015
1 Resources
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Sodar Vaisala Triton Wind Profiler, AON5 Reviewed Data

Stoelinga, M. Wind Energy Technologies Office (WETO)

Sep 30, 2015
1 Resources
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Sodar Vaisala Triton Wind Profiler, AON6 Raw Data

Stoelinga, M. Wind Energy Technologies Office (WETO)

Sep 07, 2015
1 Resources
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Sodar Vaisala Triton Wind Profiler, AON7 Raw Data

Stoelinga, M. Wind Energy Technologies Office (WETO)

Sep 07, 2015
1 Resources
0 Stars
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Sodar Vaisala Triton Wind Profiler, AON8 Raw Data

Stoelinga, M. Wind Energy Technologies Office (WETO)

Dec 06, 2015
1 Resources
0 Stars
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Sodar Vaisala Triton Wind Profiler, AON9 Raw Data

Stoelinga, M. Wind Energy Technologies Office (WETO)

Nov 27, 2016
1 Resources
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Sodar Vaisala Triton Wind Profiler, AON9 Reviewed Data

Stoelinga, M. Wind Energy Technologies Office (WETO)

Nov 14, 2016
1 Resources
0 Stars
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Airfoil Computational Fluid Dynamics 9k shapes, 2 AoA's

This dataset contains aerodynamic quantities including flow field values (momentum, energy, and vorticity) and summary values (coefficients of lift, drag, and momentum) for 8,996 airfoil shapes, computed using the HAM2D CFD (computational fluid dynamics) model. The airfoil shapes ...

Ramos, D. et al National Renewable Energy Laboratory (NREL)

Feb 10, 2023
3 Resources
0 Stars
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Structural Controls of the Neal Hot Springs Geothermal System, Eastern Oregon

Fallon FORGE: Gravity and Magnetics Data

Hybrid machine learning model to predict 3D in-situ permeability evolution

TEAMER: Experimental Validation and Analysis of Deep Reinforcement Learning Control for Wave Energy Converters

Utah FORGE: Discrete Fracture Network (DFN) Data

Sodar Vaisala Triton Wind Profiler, AON1 Raw Data

Airfoil Computational Fluid Dynamics 2k shapes, 25 AoA's, 3 Re numbers

Sodar Vaisala Triton Wind Profiler, AON1 Reviewed Data

Sodar Vaisala Triton Wind Profiler, AON3 Reviewed Data

Sodar Vaisala Triton Wind Profiler, AON5 Reviewed Data

Sodar Vaisala Triton Wind Profiler, AON6 Raw Data

Sodar Vaisala Triton Wind Profiler, AON7 Raw Data

Sodar Vaisala Triton Wind Profiler, AON8 Raw Data

Sodar Vaisala Triton Wind Profiler, AON9 Raw Data

Sodar Vaisala Triton Wind Profiler, AON9 Reviewed Data

Airfoil Computational Fluid Dynamics 9k shapes, 2 AoA's

Sodar Vaisala Triton Wind Profiler, AON2 Raw Data

Sodar Vaisala Triton Wind Profiler, AON2 Reviewed Data

Sodar Vaisala Triton Wind Profiler, AON3 Raw Data

Sodar Vaisala Triton Wind Profiler, AON4 Raw Data

Sodar Vaisala Triton Wind Profiler, AON4 Reviewed Data

Sodar Vaisala Triton Wind Profiler, AON5 Raw Data

Sodar Vaisala Triton Wind Profiler, AON6 Reviewed Data

Sodar Vaisala Triton Wind Profiler, AON7 Reviewed Data

Sodar Vaisala Triton Wind Profiler, AON8 Reviewed Data