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Hawthorne Nevada Deep Direct-Use Feasibility Study Peer Review Presentation

The objective of this project is to use a multi-disciplinary, three-tiered approach to assess the geothermal resource and determine the feasibility of implementing a large-scale, direct-use facility for the Hawthorne Army Depot (HAD) and the various town and county facilities in H...

Lowry, T. Nevada Bureau of Mines and Geology

Nov 13, 2017
1 Resources
0 Stars
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Energy Intensity Indicators in the U.S.: Industrial Sector (1949 2004)

Energy intensity data and documentation published by the U.S. DOE's office of Energy Efficiency and Renewable Energy (EERE). Energy intensity is defined as: amount of energy used in producing a given level of output or activity; expressed as energy per unit of output. This is the ...

Hallett, K. and (EERE), O. National Renewable Energy Laboratory

Nov 25, 2014
2 Resources
0 Stars
In curation

NREL Solid Biomass GIS Data

This dataset contains information about the biomass resources generated by county in the United States. It includes the following feedstock categories: crop residues, forest residues, primary mill residues, secondary mill residues, and urban wood waste. The estimates are based ...

Langle, N. and Laboratory, N. National Renewable Energy Laboratory

Jan 16, 2015
2 Resources
0 Stars
In curation

European Union (EU) GHG and CO2 Emissions 2010 (1990 2007)

[European Commission Website]: http://ec.europa.eu/about_en.htm These datasets include GHG and CO2 emissions statistics for the European Union (EU). The statistics are available from the [European Commission Website][]. Data includes: summary GHG and CO2 emissions for the entire ...

Hallett, K. and Commission, E. National Renewable Energy Laboratory

Jul 29, 2014
6 Resources
0 Stars
In curation

Grande Prairie Wind Purpose and Need Example

This is an example of how a purpose and need statement is put together for the Grande Prairie Wind Project.

Wiedmeyer, S. National Renewable Energy Laboratory

Apr 21, 2015
1 Resources
0 Stars
In curation

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

Devices Suitable for Sectional Isolation Along Both Cased and Open-hole Wellbores Large-scale Test Setup

The main goal of this project is to develop an annular isolation system capable to withstand geothermal downhole conditions and mitigate the problems experienced by conventional packers in FORGE wells. This large-scale set-up report is about the system that has been constructed to...

Teodoriu, C. et al Welltec

Jan 31, 2023
2 Resources
0 Stars
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Utah FORGE: Triaxial Direct Shear Results

This submission contains a report and associated data from triaxial direct shear tests conducted by Los Alamos National Laboratory. The samples used were sourced from 16A(78)-32 well core. The primary objectives of this test were to determine the shear strength in both intact an...

Frash, L. et al Los Alamos National Laboratory

Aug 14, 2023
1 Resources
0 Stars
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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
1 Resources
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Rare Earth Desorption Test with Citrate and Bicarbonate

LBT (lanthanide binding tag) cells were grown overnight in LB media with 0.05% Amp. 1:100 subculture taken from overnights, grown for 2 hours. LBT was induced with 0.002% arabinose added for 3 hours. REE adsorption was done by combining 350 ul (0.25% 1M MES, 12.5 uM Tb, and 12.5 u...

Jiao, Y. et al Lawrence Livermore National Laboratory

Jun 01, 2017
1 Resources
0 Stars
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Utah FORGE: Stress Logging Data

This spreadsheet consist of data and graphs from deep well 58-32 stress testing from 6900 7500 ft depth. Measured stress data were used to correct logging predictions of in situ stress. Stress plots shows pore pressure (measured during the injection testing), the total vertical in...

McLennan, J. Energy and Geoscience Institute at the University of Utah

Mar 14, 2018
1 Resources
0 Stars
Publicly accessible

NREL Geothermal GIS Data

This dataset is a qualitative assessment of geothermal potential for the U.S. using Enhanced Geothermal Systems (EGS) and based on the levelized cost of electricity with CLASS 1 being most favorable and CLASS 5 being least favorable. This dataset does not include shallow EGS resou...

Langle, N. and Laboratory, N. National Renewable Energy Laboratory

Jan 16, 2015
1 Resources
0 Stars
In curation

Geothermal Resources of Alaska (published 1983)

Geothermal resources in Alaska, provided as GIS shape files and .kmz files (for viewing in Google Earth). Between 1979 and 1982, the Alaska Division of Geological and Geophysical Surveys (DGGS) and the Geophysical Institute, University of Alaska Fairbanks, undertook an assessment ...

Hallett, K. and (AEDI), A. National Renewable Energy Laboratory

Aug 30, 2006
2 Resources
0 Stars
In curation

Python Codebase and Jupyter Notebooks Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada

Git archive containing Python modules and resources used to generate machine-learning models used in the "Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada" project. This software is licensed as free to use, modify, a...

Brown, S. and Smith, C. Nevada Bureau of Mines and Geology

Jun 30, 2022
4 Resources
0 Stars
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SGW paper Rheological Properties of Drilling Fluids Containing Special Additives for Geothermal Drilling Applications

The paper was presented at the 46th Workshop on Geothermal Reservoir Engineering, Stanford University, Stanford, California, February 15-17, 2021. In this study, the effectiveness of different additives was evaluated in maintaining drilling fluid rheology at HPHT(high pressure and...

Mohamed, A. et al University of Oklahoma

Jan 04, 2023
1 Resources
0 Stars
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Structural Data for the Columbus Salt Marsh Geothermal Area GIS Data

Shapefiles and spreadsheets of structural data, including attitudes of faults and strata and slip orientations of faults. Detailed geologic mapping of ~30 km2 was completed in the vicinity of the Columbus Marsh geothermal field to obtain critical structural data that would elucid...

E., J. University of Nevada

Dec 31, 2011
1 Resources
0 Stars
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Application of Neutron Imaging to Investigate Flow through Fractures for EGS

There is an ongoing effort at Oak Ridge National Laboratory to develop a unique experimental capability for investigating flow through porous and fractured media using neutron imaging techniques. This capability is expected to support numerous areas of investigation associated wit...

Polsky, Y. et al Oak Ridge National Laboratory

Feb 01, 2013
1 Resources
0 Stars
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Additional Data Focused on Phase 1 Geared Toward Computational Fluid Dynamics (CFD) validation

**Overview** A new validation campaign was developed within the Offshore Code Comparison Collaboration, Continued, with Correlation and unCertainty (OC6) to better understand the complex interactions between components of a floating wind system (e.g., columns, pontoons, etc.) in ...

Robertson, A. Wind Energy Technologies Office (WETO)

Apr 08, 2021
1 Resources
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Utah FORGE: Well 52-21 Logs and Data: Roosevelt Hot Spring Area

This is a compilation of logs and data from Well 52-21 in the Roosevelt Hot Springs area in Utah. This well is also in the Utah FORGE study area. The file is in a compressed .zip format and there is a data inventory table (Excel spreadsheet) in the root folder that is a guide to t...

Moore, J. Energy and Geoscience Institute at the University of Utah

Mar 03, 2016
1 Resources
0 Stars
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GeoDAWN Northwestern Elko County Nevada EarthMRI Data

This submission includes both the original product resolution (OPR) and LiDAR point cloud (LPC) LiDAR data collected as part of GeoDAWN: Geoscience Data Acquisition for Northwestern Elko County, Nevada. The USGS Earth Mapping Resources Initiative (EarthMRI) and USGS 3D Elevation ...

National Geospatial Program, U. United States Geological Survey

May 15, 2023
7 Resources
0 Stars
Publicly accessible

CAES 2014 Chemical Analyses of Thermal Wells and Springs in Southeastern Idaho

This dataset contains chemical analyses for thermal wells and springs in Southeastern Idaho. Data includes all major cations, major anions, pH, collection temperature, and some trace metals. These samples were collected in 2014 by the Center for Advanced Energy Studies (CAES), an...

Mattson, E. Idaho National Laboratory

Mar 10, 2014
7 Resources
0 Stars
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EGS Collab Experiment 1: Baseline Cross-well Seismic

As part of the geophysical characterization suite for the first EGS Collab tesbed, here are the baseline cross-well seismic data and resultant models. The campaign seismic data have been organized, concatenated with geometry and compressional (P-) & and shear (S-) wave picks, and ...

Schwering, P. et al Sandia National Laboratories

Apr 30, 2018
9 Resources
0 Stars
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U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2014)

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

Dec 01, 2015
7 Resources
0 Stars
Curated

WISE-CASING: DC Simulation at Containment and Monitoring Institute (CaMI), Calgary, Canada

For the model calculation we applied EM3D using completion diagram of CaMI site and a background resistivity consistent with the borehole logs. It was also important to use the accurate position of the return electrode. We note that for the data fit the code also incorporated we...

Wang, J. and Wilt, M. Lawrence Berkeley National Laboratory

Apr 30, 2019
7 Resources
0 Stars
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Machine Learning to Identify Geologic Factors Associated with Production in Geothermal Fields: A Case-Study Using 3D Geologic Data from Brady Geothermal Field and NMFk

In this paper, we present an analysis using unsupervised machine learning (ML) to identify the key geologic factors that contribute to the geothermal production in Brady geothermal field. Brady is a hydrothermal system in northwestern Nevada that supports both electricity producti...

Siler, D. et al United States Geological Survey

Oct 01, 2021
6 Resources
0 Stars
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