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"distributed strain sensing"×

Net Shape Fabricated Low Cost MHK Pass-Through the Hub Turbine Blades with Integrated Health Management Technology

The primary objective of this project is to develop a three-blade MHK rotor with low manufacturing and maintenance costs. The proposed program will design, fabricate and test a novel half-scale low cost, net shape fabricated single piece three-blade MHK rotor with integrated healt...
Wess, D. ARL Penn State
Feb 09, 2016
24 Resources
0 Stars
Publicly accessible

Alaska Region Offshore GIS Data

The US Department of Interior's (DOI) Bureau of Ocean Energy Management, Regulation and Enforcement (BOEMRE) published GIS data of offshore information for the Alaska Region. The data are available as GIS shapefiles. The types of data include: active leases, boundary of US jurisdi...
Hallett, K. and (BOEMRE), U. National Renewable Energy Laboratory
Jun 30, 2002
11 Resources
0 Stars
In curation

Memos Relating to High-Priority Geothermal Targets in Colorado Selected for Further Study Flint Geothermal 2012

This dataset contains several memos describing geothermal targets outlined by Flint personnel in Colorado. Phase 1 involved an ASTER and LANDSAT thermal infrared imagery assessment conducted by CIRES of the University of Colorado, which identified areas of warm ground that might i...
Zehner, R. Flint Geothermal, LLC
Feb 27, 2014
3 Resources
0 Stars
Publicly accessible

WISE-CASING: Surface Seismic Survey at Cymric Field, California Central Valley

This test was conducted at the Chevron Cymric oilfield in the California central valley near Bakersfield. A reflected seismic signal was observed in all three components (x, y, z) of the 3-component Episensor geophone, as well as all phones on the single component array. The arriv...
Wu, Y. et al Lawrence Berkeley National Laboratory
Apr 02, 2018
6 Resources
0 Stars
Publicly accessible

Silver Peak Innovative Exploration Project (Ram Power Inc.)

Data generated from the Silver Peak Innovative Exploration Project, in Esmeralda County, Nevada, encompasses a deep-circulation (amagmatic) meteoric-geothermal system circulating beneath basin-fill sediments locally blanketed with travertine in western Clayton Valley (lithium-rich...
Miller, C. Ram Power, Inc.
Jan 01, 2010
27 Resources
0 Stars
Publicly accessible

3D Model of the Tuscarora Geothermal Area

The Tuscarora geothermal system sits within a ~15 km wide left-step in a major west-dipping range-bounding normal fault system. The step over is defined by the Independence Mountains fault zone and the Bull Runs Mountains fault zone which overlap along strike. Strain is transferre...
E., J. University of Nevada
Dec 31, 2013
1 Resources
0 Stars
Publicly accessible

Nevada Great Basin Play Fairway Analysis Reports & Appendices

This project focused on defining geothermal play fairways and development of a detailed geothermal potential map of a large transect across the Great Basin region (96,000 km2), with the primary objective of facilitating discovery of commercial-grade, blind geothermal fields (i.e. ...
Faulds, J. et al Nevada Bureau of Mines and Geology
Oct 28, 2015
3 Resources
0 Stars
Publicly accessible

Utah FORGE: AGRC GIS Database for the State of Utah

This is a link to the Automated Geographic Reference Center (AGRC) that houses GIS data for the state of Utah. This includes geoscience, cadastre, elevation and terrain, digital aerial photography, roads, aquifer data, etc. Several GIS datasets used in the Utah FORGE project origi...
Moore, J. Energy and Geoscience Institute at the University of Utah
Mar 02, 2016
1 Resources
0 Stars
Publicly accessible

Utah FORGE: Borehole PSS Tools Status Report

This report summarizes the data quality from the Utah FORGE borehole passive seismic sensors (PSS) tools at well sites 58-32 and 78B-32. Two level Avalon tools were installed on 09-28-2022 and 09-29-2022 by representatives from Avalon, Schlumberger, University of Utah, and Instrum...
Stachnik, J. Instrumental Software Technologies, Inc.
Dec 29, 2022
1 Resources
0 Stars
Publicly accessible

Structural Orientations Adjacent to Some Colorado Geothermal Systems

Structural orientations (fractures, joints, faults, lineaments, bedding orientations, etc.) were collected with a standard Brunton compass during routine field examinations of geothermal phenomena in Colorado. Often multiple orientations were taken from one outcrop. Care was taken...
, R. Flint Geothermal, LLC
Feb 01, 2012
1 Resources
0 Stars
Publicly accessible

Utah FORGE: InSAR Data

This is the InSAR dataset used in Utah FORGE Phase 2C to augment ground deformation monitoring. It is accompanied by a README.txt file which contains an explanation of the data in the .zip archive.
Feigl, K. et al Energy and Geoscience Institute at the University of Utah
Jul 01, 2019
2 Resources
0 Stars
Publicly accessible

EGS Collab Experiment 1: Microseismic Monitoring

The U.S. Department of Energy's Enhanced Geothermal System (EGS) Collab project aims to improve our understanding of hydraulic stimulations in crystalline rock for enhanced geothermal energy production through execution of intensely monitored meso-scale experiments. The first expe...
Schoenball, M. et al Lawrence Berkeley National Laboratory
Jul 29, 2019
46 Resources
0 Stars
Publicly accessible

U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2015)

This dataset, compiled by NREL using data from [ABB, the Velocity Suite](http://energymarketintel.com/) and the [U.S. Energy Information Administration dataset 861](http://www.eia.gov/electricity/data/eia861/), provides average residential, commercial and industrial electricity ra...
Huggins, J. and Laboratory, N. National Renewable Energy Laboratory
Oct 19, 2016
4 Resources
0 Stars
Publicly accessible

U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2016)

This dataset, compiled by NREL using data from [ABB, the Velocity Suite](http://energymarketintel.com/) and the [U.S. Energy Information Administration dataset 861](http://www.eia.gov/electricity/data/eia861/), provides average residential, commercial and industrial electricity ra...
Huggins, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 13, 2017
4 Resources
0 Stars
Publicly accessible

U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2017)

This dataset, compiled by NREL using data from [ABB, the Velocity Suite](http://energymarketintel.com/) and the [U.S. Energy Information Administration dataset 861](http://www.eia.gov/electricity/data/eia861/), provides average residential, commercial and industrial electricity ra...
Huggins, J. and Laboratory, N. National Renewable Energy Laboratory
Oct 24, 2018
4 Resources
0 Stars
Publicly accessible

U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2018)

This dataset, compiled by NREL using data from [ABB, the Velocity Suite](http://energymarketintel.com/) and the [U.S. Energy Information Administration dataset 861](http://www.eia.gov/electricity/data/eia861/), provides average residential, commercial and industrial electricity ra...
Huggins, J. and Laboratory, N. National Renewable Energy Laboratory
Oct 25, 2019
4 Resources
0 Stars
Publicly accessible

U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2019)

This dataset, compiled by NREL using data from [ABB, the Velocity Suite](http://energymarketintel.com/) and the [U.S. Energy Information Administration dataset 861](http://www.eia.gov/electricity/data/eia861/), provides average residential, commercial and industrial electricity ra...
Huggins, J. National Renewable Energy Laboratory (NREL)
Dec 01, 2020
4 Resources
0 Stars
Publicly accessible

U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2020)

This dataset, compiled by NREL using data from [ABB, the Velocity Suite](http://energymarketintel.com/) and the [U.S. Energy Information Administration dataset 861](http://www.eia.gov/electricity/data/eia861/), provides average residential, commercial and industrial electricity ra...
Huggins, J. National Renewable Energy Laboratory (NREL)
Dec 01, 2021
4 Resources
0 Stars
Publicly accessible

U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2021)

This dataset, compiled by NREL using data from [ABB, the Velocity Suite](http://energymarketintel.com/) and the [U.S. Energy Information Administration dataset 861](http://www.eia.gov/electricity/data/eia861/), provides average residential, commercial and industrial electricity ra...
Huggins, J. National Renewable Energy Laboratory (NREL)
Nov 21, 2022
4 Resources
0 Stars
Publicly accessible

U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2022)

This dataset, compiled by NREL using data from ABB, the Velocity Suite (http://energymarketintel.com/) and the U.S. Energy Information Administration dataset 861 (http://www.eia.gov/electricity/data/eia861/), provides average residential, commercial and industrial electricity rate...
Huggins, J. National Renewable Energy Laboratory (NREL)
Apr 05, 2024
4 Resources
0 Stars
Publicly accessible

U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2023)

This dataset, compiled by NREL using data from ABB, the Velocity Suite (http://energymarketintel.com/) and the U.S. Energy Information Administration dataset 861 (http://www.eia.gov/electricity/data/eia861/), provides average residential, commercial and industrial electricity rate...
Huggins, J. National Renewable Energy Laboratory (NREL)
Nov 06, 2024
4 Resources
0 Stars
Publicly accessible

Penrose Well Temperatures

Penrose Well Temperatures Geothermal waters have been encountered in several wells near Penrose in Fremont County, Colorado. Most of the wells were drilled for oil and gas exploration and, in a few cases, production. This ESRI point shapefile utilizes data from 95 wells in and a...
Christopherson, K. Flint Geothermal, LLC
Mar 15, 2013
1 Resources
0 Stars
Publicly accessible

Utah FORGE: Area LiDAR Bare Earth DEM Mosaic

This is a mosaic of 154 bare earth DEM panels (0.5 m resolution) acquired during Phase II of the Utah FORGE project. The DEM covers the western Mineral Mountains and adjoining basin including the Roosevelt Hot Springs area. The coordinates are in UTM Zone 12, NAD 83 and elevation ...
Nash, G. Energy and Geoscience Institute at the University of Utah
Aug 07, 2018
1 Resources
0 Stars
Publicly accessible

GeoThermalCloud: Cloud Fusion of Big Data and Multi-Physics Models using Machine Learning for Discovery, Exploration and Development of Hidden Geothermal Resources

Geothermal exploration and production are challenging, expensive and risky. The GeoThermalCloud uses Machine Learning to predict the location of hidden geothermal resources. This submission includes a training dataset for the GeoThermalCloud neural network. Machine Learning for Di...
Ahmmed, B. Stanford University
Apr 04, 2022
3 Resources
0 Stars
Publicly accessible

Appendices for Geothermal Exploration Artificial Intelligence Report

The Geothermal Exploration Artificial Intelligence looks to use machine learning to spot geothermal identifiers from land maps. This is done to remotely detect geothermal sites for the purpose of energy uses. Such uses include enhanced geothermal system (EGS) applications, especia...
Duzgun, H. et al Colorado School of Mines
Jan 08, 2021
12 Resources
0 Stars
Publicly accessible
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