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Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs
Subsurface data analysis, reservoir modeling, and machine learning (ML) techniques have been applied to the Brady Hot Springs (BHS) geothermal field in Nevada, USA to further characterize the subsurface and assist with optimizing reservoir management. Hundreds of reservoir simulat...
Beckers, K. et al National Renewable Energy Laboratory
Feb 18, 2021
1 Resources
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1 Resources
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EGS Collab Experiment 1: In-situ observation of pre-, co and post-seismic shear slip preceding hydraulic fracturing
Understanding the initiation and arrest of earthquakes is one of the long-standing challenges of seismology. Here we report on direct observations of borehole displacement by a meter-sized shear rupture induced by pressurization of metamorphic rock at 1.5 km depth. We observed the...
Guglielmi, Y. et al Lawrence Berkeley National Laboratory
May 22, 2018
2 Resources
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2 Resources
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Utah FORGE: Well 16B(78)-32 Stimulation Hydraulic Fracturing In-Well DAS Fiber Optic Monitoring Report April 2024
The report reviews results obtained by Neubrex using Distributed Acoustic Sensing (DAS) during the 16B(78)-32 hydraulic fracturing operations, Stages 1–4. It details DAS data acquisition, processing, and analysis, with a focus on acoustic noise signatures recorded during each st...
Jurick, D. et al Neubrex Energy Services (US), LLC
Apr 26, 2024
1 Resources
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1 Resources
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DASH Slow Strain Rates from Brady Hot Springs Geothermal Field during PoroTomo Deployment Period
This submission contains slow strain rates summed to radians over 30 second intervals [rad/s] derived from horizontal distributed acoustic sensing measurements (DASH) of Brady geothermal field during PoroTomo deployment (2016-Mar-14 to 2016-Mar-26). There is one file correspondin...
Reinisch, E. et al University of Wisconsin
Jun 27, 2018
20 Resources
0 Stars
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20 Resources
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Finite Element Analysis (FEA) for Water-Foam Fracturing of Granite Rock
In addition to the foam data that were obtained from literature and that were collected from the current study, simulation data was also generated from finite element analysis (FEA) conducted in this study using COMSOL Multiphysics software. The FEA models were built to simulate t...
Thakor, V. et al Temple University
May 04, 2021
1 Resources
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1 Resources
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Utah FORGE: Well 16A(78)-32 Planned Trajectory
This submission includes an Excel spreadsheet containing the Utah FORGE deep well 16A(78)-32 planned trajectory including UTM coordinates, elevations, and depths from the well head to the toe. This proposed new injection well is expected to descend vertically to a depth of approxi...
Podgorney, R. and Nash, G. Idaho National Laboratory
Mar 24, 2020
1 Resources
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1 Resources
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Microhole drilling technology utilizing a golden section search algorithm
A fundamental issue in microhole drilling is that delivering high weight-on-bit (WOB), high torque rotational horsepower to a conventional drill bit does not scale down to the hole sizes necessary to realize the envisioned cost savings An optimization algorithm called a golden sec...
Su, J. et al Sandia National Laboratories
Jun 23, 2021
7 Resources
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7 Resources
0 Stars
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Chlorite Dissolution Rates
Spreadsheets provides measured chlorite rate data from 100 to 300 degrees C at elevated CO2. Spreadsheet includes derived rate equation.
Carroll, S. Lawrence Livermore National Laboratory
Jul 01, 2013
1 Resources
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1 Resources
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U.S. Electric Utility Companies and Rates: Look-up by Zipcode (Feb 2011)
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 25, 2014
5 Resources
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Publicly accessible
5 Resources
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Washington Play Fairway Analysis Analysis of High Precision GPS Time Series and Strain Rates for the Cascade Range
Global Positioning System (GPS) time series from the National Science Foundation (NSF) Earthscope's Plate Boundary Observatory (PBO) and Central Washington University's Pacific Northwest Geodetic Array (PANGA). GPS station velocities were used to infer strain rates using the "spli...
Swyer, M. AltaRock Energy Inc
Feb 22, 2015
2 Resources
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2 Resources
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University of Illinois Campus Deep Direct-Use Feasibility Study Subsurface Temperature Profile
High resolution fiber-optic distributed temperature sensing logs from the Illinois Basin Decatur Project (IBDP) in Decatur, IL were used to model the thermal profile in the Illinois Basin.
Lin, Y. et al University of Illinois
Jun 13, 2018
5 Resources
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5 Resources
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Photovoltaic Module Current-Voltage and Electroluminescence Image Data (PV-IV-EL)
This dataset consists of 613 sets of corresponding current-voltage trace (IV) flash test data and electroluminescence (EL) image data for commercial PV modules from the Photovoltaic Systems Evaluation Laboratory at Sandia National Laboratories. PV modules are from fielded systems ...
Byford, B. et al Sandia National Laboratories
Dec 15, 2015
5 Resources
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Awaiting release
5 Resources
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Awaiting release
U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2013)
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
Jul 13, 2015
5 Resources
1 Stars
Publicly accessible
5 Resources
1 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
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4 Resources
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Utah FORGE: Fiber Optic Cumulative Strain Change and Strain Change Rate Data From Well 16A Stimulation at Well 16B
This dataset includes Rayleigh Frequency Shift (RFS) Distributed Strain Sensing (DSS) cumulative strain change and change rate data. The data was acquired during the stimulation of Utah FORGE Well 16A(78)-32 in April 2024 via fiber installed in Well 16B(78)-32. The fiber optic da...
Khatara, S. et al Neubrex Energy Services (US), LLC
Nov 06, 2024
2 Resources
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2 Resources
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Distributed Acoustic Sensing (DAS) of Strain at Earth Tide Frequencies: Laboratory Tests
The solid Earth strains in response to the gravitational pull from the Moon, Sun, and other planetary bodies. Measuring the flexure of geologic material in response to these Earth tides provides information about the geomechanical properties of rock and sediment. Such measurements...
Coleman, T. and Becker, M. California State University
Jan 24, 2018
2 Resources
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2 Resources
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Penn State Lab Testing Fluid-Rock Interaction in Geothermal Reservoirs
This project focused on assessment and discovery of fluid-rock interaction in geothermal reservoirs. We accomplished work in four main areas: 1) fracture formation and the relationship between fluid flow and shear failure, 2) assessment of fracture geometry and fluid permeability ...
Madara, B. et al Pennsylvania State University
Jan 01, 2018
5 Resources
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5 Resources
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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
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7 Resources
0 Stars
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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
4 Resources
0 Stars
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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
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4 Resources
0 Stars
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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
4 Resources
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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
4 Resources
0 Stars
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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
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4 Resources
0 Stars
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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
4 Resources
0 Stars
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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
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4 Resources
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