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U.S. Heat Demand by Sector for Potential Application of Direct Use Geothermal
This dataset includes heat demand for potential application of direct use geothermal broken down into 4 sectors: agricultural, commercial, manufacturing and residential. The data for each sector are organized by county, were disaggregated specifically to assess the market demand ...
McCabe, K. et al National Renewable Energy Laboratory
Jun 23, 2016
5 Resources
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5 Resources
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Utah FORGE: Deep Well 58-32 (MU-ESW1) Core Data
These datasets, images, and graphics were derived from core drilling and core that was extracted from Utah Forge deep well 58-32 (originally called MU-ESW1), near Roosevelt Hot Springs.
Nash, G. and Moore, J. Energy and Geoscience Institute at the University of Utah
Apr 11, 2018
5 Resources
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Utah FORGE: GIS Well Temperature Data
This is a GIS point feature shapefile representing wells, and their temperatures, that are located in the general Utah FORGE area near Milford, Utah. There are also fields that represent interpolated temperature values at depths of 200 m, 1000 m, 2000 m, 3000 m, and 4000 m. in deg...
Gwynn, M. et al Energy and Geoscience Institute at the University of Utah
Feb 28, 2018
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Gravity Survey of the Carson Sink Data and Maps
A detailed gravity survey was carried out for the entire Carson Sink in western Nevada (Figure 1) through a subcontract to Zonge Engineering, Inc. The Carson Sink is a large composite basin containing three known, blind high-temperature geothermal systems (Fallon Airbase, Stillwat...
E., J. University of Nevada
Dec 31, 2013
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Sample Data from a Distributed Acoustic Sensing Experiment at Garner Valley, California
In September 2013, an experiment using Distributed Acoustic Sensing (DAS) was conducted at Garner Valley, a test site of the University of California Santa Barbara (Lancelle et al., 2014). This submission includes one 45 kN shear shaker (called "large shaker" on the basemap) test ...
Lancelle, C. University of Wisconsin
Sep 10, 2013
10 Resources
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10 Resources
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Utah FORGE: Well 16B(78)-32 Drilling Data
This drilling data for Utah FORGE well 16B(78)-32 include a well survey, core summary, mud and mud temperature logs, daily reports of the drilling process, and additional data from the Pason oil and gas company. Well 16B(78)-32 serves as the production well for reservoir creation...
McLennan, J. et al Energy and Geoscience Institute at the University of Utah
Jul 03, 2023
9 Resources
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Oilwell Conversion (Well API 121913310501) to Geothermal Heat Storage Well for Flexible Electricity Storage
Geothermal growth is limited by a lack of geographically dispersed high-temperature thermal resources and high initial upfront investment in characterization and well construction. This project intended to address the challenges of energy supply intermittency and enhance grid resi...
Malkewicz, N. et al University of Illinois
May 05, 2021
8 Resources
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8 Resources
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Mineralogical and Lithological Data from Great Basin Geothermal Systems
Mineralogical and lithological data from core samples taken at various geothermal wells in the Great Basin: Dixie Valley, Beowawe, Roosevelt, Mammoth, Steamboat Springs, Coso
Simmons, S. Colorado School of Mines
Aug 08, 2013
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UTM Well Coordinates for the Boise Hydrogeophysical Research Site (BHRS)
A series of oscillatory pumping tests were performed at the BHRS. The data collected from these wells will be used to tomographically image the shallow subsurface. This excel file only contains well coordinates for all wells at the Boise site.
Lim, D. University of Wisconsin
Dec 19, 2014
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New Mexico Play Fairway Analysis: Heat Flow
This is an updated and simplified version of the New Mexico heat flow data already on the NGDS that was used for Play Fairway analysis.
Kelley, S. New Mexico Bureau of Geology and Mineral Resources
Oct 21, 2015
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Washington Play Fairway Analysis Geothermal Heat and Permeability Potential Geodatabases
This file contains file geodatabases of the Mount St. Helens seismic zone (MSHSZ), Wind River valley (WRV) and Mount Baker (MB) geothermal play-fairway sites in the Washington Cascades. The geodatabases include input data (feature classes) and output rasters (generated from modeli...
Norman, D. et al Washington Division of Geology and Earth Resources
Dec 15, 2015
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3-D Geologic Controls of Hydrothermal Fluid Flow at Brady Geothermal Field, Nevada using PCA
In many hydrothermal systems, fracture permeability along faults provides pathways for groundwater to transport heat from depth. Faulting generates a range of deformation styles that cross-cut heterogeneous geology, resulting in complex patterns of permeability, porosity, and hydr...
Siler, D. and Pepin, J. United States Geological Survey
Oct 01, 2021
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Machine Learning-Assisted High-Temperature Reservoir Thermal Energy Storage Optimization: Numerical Modeling and Machine Learning Input and Output Files
This data set includes the numerical modeling input files and output files used to synthesize data, and the reduced-order machine learning models trained from the synthesized data for reservoir thermal energy storage site identification.
In this study, a machine-learning-assiste...
Jin, W. et al Idaho National Laboratory
Apr 15, 2022
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4 Resources
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Stanford Thermal Earth Model for the Conterminous United States
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....
Aljubran, M. and Horne, R. Stanford University
Mar 14, 2024
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9 Resources
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Hawaii Play Fairway Analysis: Lanai Resistivity and Density 3D Inversion Models
To prepare for its third phase, the Hawaii Play Fairway project conducted groundwater sampling and analyses in ten locations in the Hawaiian islands, magnetotelluric (MT) and gravity surveys, as well as calculations of 3D subsurface stress due to the weight of the rock underlying ...
Lautze, N. et al University of Hawaii
Jun 01, 2020
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Magnetic Nanofluid Rare Earth Element Extraction Process Report, Techno Economic Analysis, and Results for Geothermal Fluids
This GDR submission is an interim technical report and raw data files from the first year of testing on functionalized nanoparticles for rare earth element extraction from geothermal fluids. The report contains Rare Earth Element uptake results (percent removal, mg Rare Earth Ele...
McGrail, P. Pacific Northwest National Laboratory
Mar 14, 2016
3 Resources
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3 Resources
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Fallon FORGE: LiDAR Acquisition and Processing Report
The data is associated to the Fallon FORGE project and includes LiDAR from the Navy GPO. Also included are geologic maps from the USGS and Nevada Bureau of Mines and Geology for the Fallon, NV area.
Bucher, K. et al Sandia National Laboratories
May 23, 2016
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Compatibility Study of Nanofiltration and Reverse Osmosis Membranes with 1 Cyclohexylpiperidenium Bicarbonate Solutions
The switchable polarity solvent forward osmosis (SPS FO) desalination process requires use of a polishing filtration step to remove trace quantities of draw solution from the product water stream. Selected nanofiltration (NF) and reverse osmosis (RO) membranes were tested for thei...
Adhikari, B. et al Idaho National Laboratory
Oct 01, 2015
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Utah FORGE: Earth Model Native State Simulation Results
Utah FORGE phase 2C Native State Simulation zip contains the data used for the boundary conditions and subsequent native state simulation results obtained using the simulation code FALCON. Data are from the nodes of the simulation domain, with used a uniform 50m spacing over a 250...
Podgorney, R. Energy and Geoscience Institute at the University of Utah
Jul 16, 2019
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Utah FORGE: Phase Native State FALCON Model Files
The submission includes FALCON input file and mesh for the an initial pressure-temperature simulation, and a second set for pressure-temperature-displacement simulation. All simulations are steady state. Data and input for the FORGE Phase 2 native state model were compiled from hi...
Podgorney, R. Idaho National Laboratory
Jun 06, 2019
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Utah FORGE 5-2557: Trixial Shear and Wellbore Breakout Tests Report and Data
Included are a report and data from triaxial shear tests on simulated Sierra White fault gouge and a borehole stimulation experiment. This serves as a progress report for the Role of Fluid and Temperature in Fracture Mechanics and Coupled Thermo-Hydro-Mechanical-Chemical (THMC) P...
Choens, C. and Yoon, H. Sandia National Laboratories
Apr 19, 2023
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Hawaii Play Fairway Analysis: Hawaii Island Groundwater Flow Model
Groundwater flow model for Hawaii Island. Data is from the following sources:
Whittier, R.B., K. Rotzoll, S. Dhal, A.I. El-Kadi, C. Ray, G. Chen, and D. Chang. 2004. Hawaii Source Water Assessment Program Report Volume II Island of Hawaii Source Water Assessment Program Report. P...
Lautze, N. University of Hawaii
Jan 01, 2015
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Rare Earth Element Biomining from the Great Salt Lake Brine Using Engineered E. Coli
This data describes rare earth element adsorption onto E. coli cells engineered to express a lanthanide binding tag (LBT). We used a Great Salt Lake synthetic solution as the background matrix with Tb added to 1-10,000 ppb, concentrations much lower than the competing ions presen...
Jiao, Y. et al Lawrence Livermore National Laboratory
Jun 04, 2017
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Nevada Play Fairway Steptoe Valley Geodatabase and Modeling Data
This package contains data and metadata for the 3d thermal model, well lithology logs, gravity grids and depth to basement inversions, play fairway modelling, and ArcGIS geodatabase resources.
This project focused on defining geothermal play fairways and development of a detailed...
Faulds, J. Nevada Bureau of Mines and Geology
Aug 25, 2018
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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
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