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Shear Induced Permeability Test: Brady and Desert Peak Core X-Ray CT Files
As part of the shear induced permeability test, the rock cores were also scanned with X-ray Computed Tomography (CT) before and after sustainability tests using a modified GE Lightspeed 16 medical CT scanner. The CT provides another perspective on the fracture and aperture, as wel...
Kneafsey, T. et al Lawrence Berkeley National Laboratory
Sep 26, 2016
4 Resources
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4 Resources
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Water Use in Enhanced Geothermal Systems (EGS): Geology of U.S. Stimulation Projects, Water Costs, and Alternative Water Use Policies
According to the Energy Information Administration (EIA) of the U.S. Department of Energy (DOE), geothermal energy generation in the United States is projected to more than triple by 2040 (EIA 2013). This addition, which translates to more than 5 GW of generation capacity, is anti...
Harto, C. et al Argonne National Laboratory
Dec 16, 2014
13 Resources
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13 Resources
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NAWI Seedling Project: Foundational Control Methods for Water Treatment Systems Online Actuator and Sensor Data
This repository contains online actuator and sensor data and associated meta-data collected during the NAWI-funded seedling project with title: Foundational Control Methods for Water Treatment Systems. For detailed information on each dataset, please check the README included there.
Villez, K. et al Oak Ridge National Laboratory
Jan 01, 2020
7 Resources
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7 Resources
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Thermal-Hydrological-Mechanical Modelling of Stockton University Reservoir Cooling System, Fine Scale Stress Test Modelling
Mesh, properties, initial conditions, injection/withdrawal rates for modelling thermal, hydrological, and mechanical effects of fluid injection to and withdrawal from ground for Stockton University reservoir cooling system (aquifer storage cooling system), Galloway, New Jersey, fo...
Smith, J. et al Lawrence Berkeley National Laboratory
Feb 22, 2021
14 Resources
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14 Resources
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Utah FORGE Project 2439: Machine Learning for Well 16A(78)-32 Stress Predictions
This report reviews the training of machine learning algorithms to laboratory triaxial ultrasonic velocity data for Utah FORGE Well 16A(78)-32. Three machine learning (ML) predictive models were developed for the prediction of vertical and two orthogonally oriented horizontal str...
Kelley, M. et al Battelle Memorial Institute
Jun 19, 2023
1 Resources
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1 Resources
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UAE6 Wind Tunnel Tests Data UAE6 Sequence X Raw Data
**Overview**
Sequence X: Elevated RPM (F)
This test sequence used an upwind, rigid turbine with a 0° cone angle. The wind speed ranged
from 5 m/s to 12 m/s, and yaw angles of ±30° were obtained. The blade pitch angle was 3°. The
rotor rotated at 90 RPM. Blade pressure measur...
Fingersh, L. Wind Energy Technologies Office (WETO)
Nov 29, 2018
1 Resources
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1 Resources
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MT Data: Newberry 4D Monitoring EGS Project
This submission contains a link to the EDX Collaborative Workspace where the MT data collected in support of the DOE GTO 4D EGS monitoring project is stored.
Daily production reports- Oregon State University (OSU) had 6 stations running continuously.
--Dynamic survey map, KML f...
Rose, K. National Energy Technology Laboratory
Apr 12, 2016
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1 Resources
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West Flank Coso FORGE: 3D Geologic Model
This is an x,y,z file of the West Flank FORGE 3D geologic model. Model created in Earthvision by Dynamic Graphic Inc. The model was constructed with a grid spacing of 100 m. Geologic surfaces were extrapolated from the input data using a minimum tension gridding algorithm.
The da...
Blankenship, D. Sandia National Laboratories
Mar 01, 2016
1 Resources
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1 Resources
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Utah FORGE Well 56-32 Sludge XRF
This is an Excel spreadsheet containing the results of X-ray fluorescence from well 56-32 sludge samples. The instrumentation used was a Olympus Vanta M series handheld XRF analyzer. A glass (SiO2) "blank" was analyzed at the beginning and end of each sample batch to detect contam...
Smith, K. Utah Geological Survey
Jul 15, 2022
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1 Resources
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Utah FORGE: Powder X-ray Diffraction Data from Well 16A(78)-32 Core
This dataset from Lawrence Livermore National Laboratory (LLNL) consists of four raw X-ray diffraction (XRD) scans and preliminary results of quantitative XRD analysis. The scanned samples were prepared from four subcores, which came from various depths of the FORGE well 16A(78)-3...
Kroll, K. et al Lawrence Livermore National Laboratory
Jul 27, 2023
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1 Resources
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Biomass as Feedstock for a Bioenergy and Bioproducts Industry
The report, Biomass as Feedstock for a Bioenergy and Bioproducts Industry: The Technical Feasibility of a Billion-Ton Annual Supply (generally referred to as the Billion-Ton Study or 2005 BTS), was an estimate of potential biomass available within the contiguous United States base...
Contact, B. and (EERE), O. Office of Energy Efficiency & Renewable Energy
Nov 25, 2014
1 Resources
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In curation
1 Resources
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In curation
Geothermal Sector Cybersecurity Vulnerability Assessment Presentation
As geothermal resource contributions to the energy sector grow, cybersecurity will be increasingly important to ensure resilient, reliable, and secure clean energy for years to come. An overview of the cybersecurity vulnerability assessment project was developed and presented at t...
Markel, T. et al National Renewable Energy Laboratory
Oct 20, 2020
1 Resources
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1 Resources
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Omics Standard Operating Procedures
This living document will illustrate Standard Operating Procedures (SOPs) for sampling biofilm material from reverse osmosis (RO) membrane modules. The SOPs will empower the NAWI research community to apply omics tools (e.g., time-series metagenomic, meta-transcriptomic, metaprote...
May, A. et al Oak Ridge National Laboratory
Jan 18, 2021
1 Resources
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1 Resources
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Reverse Osmosis Simulation Dataset
This dataset consists of computational fluid dynamics (CFD) output for various spacer configurations in a feed-water channel in reverse osmosis (RO) applications. Feed-water channels transport brine solution to the RO membrane surfaces. The spacers embedded in the channels help im...
Nadakkal Appukuttan, S. et al National Renewable Energy Lab NREL
Apr 22, 2024
2 Resources
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2 Resources
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EGS Collab Experiment 1: 3D Seismic Velocity Model and Updated Microseismic Catalog Using Transfer-Learning Aided Double-Difference Tomography
This package contains a 3D Seismic velocity model and an updated microseismic catalog associated with a proceedings paper (Chai et al., 2020) published in the 45th Workshop on Geothermal Reservoir Engineering. The 3D_seismic_velocity_model text file contains x (m), y(m), z(m), P-w...
Chai, C. et al Oak Ridge National Laboratory
Apr 20, 2020
7 Resources
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7 Resources
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West Flank Coso FORGE: Downhole Lithologic Data
x,y,z downhole lithologic logs for the wells in and around the West Flank FORGE site based on a review of cuttings, core, and mud logs.
Blankenship, D. Sandia National Laboratories
Mar 01, 2016
1 Resources
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1 Resources
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EGS Collab Experiment 1: 3D Seismic Velocity Model and Updated Microseismic Catalog from Double-Difference Seismic Tomography
This package contains a 3D Seismic velocity model and an updated microseismic catalog obtained for a double-difference seismic tomography study.
The 3D_seismic_velocity_model text file contains x (m), y(m), z(m), P-wave velocity (km/s), P-wave velocity quality indicator (1 for we...
Chai, C. et al Oak Ridge National Laboratory
Jun 01, 2020
8 Resources
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8 Resources
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Utah FORGE: Well 78B-32 Core Sample Petrographic Analysis Data
This dataset contains an overview of the petrographic, X-ray Diffraction and scanning electron microscopy analyses of core samples from Utah FORGE Well 78B-32 and related data as described in the .zip folder's Description below.
Jones, C. Energy and Geoscience Institute at the University of Utah
Feb 21, 2023
1 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
1 Resources
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1 Resources
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BUTTER Empirical Deep Learning Dataset
The BUTTER Empirical Deep Learning Dataset represents an empirical study of the deep learning phenomena on dense fully connected networks, scanning across thirteen datasets, eight network shapes, fourteen depths, twenty-three network sizes (number of trainable parameters), four le...
Tripp, C. et al National Renewable Energy Laboratory
May 20, 2022
4 Resources
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4 Resources
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Fallon FORGE: Well Lithologies
x,y,z text file of the downhole lithologic interpretations in the wells in and around the Fallon FORGE site.
All the relevant information is in the file header (the spatial reference, the projection etc.) In addition all the fields in the data file are identified in the header.
Blankenship, D. Sandia National Laboratories
Mar 01, 2016
1 Resources
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United States High Resolution Biomass (2008)
Biomass resource potential for the lower 48 states of the United States of America.
Estimated technical biomass resources available in the United States by county. The following feedstock categories are considered for this study: crop residues, methane emissions from manure man...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
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In curation
3 Resources
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In curation
US Potable Water Reuse System Costs
This submission contains a set of U.S.-specific potable reuse capital and operations and maintenance (O&M) cost data ($2020) found in published presentations and reports from engineering consulting firms, utility and water agency press releases or websites, and literature. For any...
Sim, A. and Mauter, M. NAWI
Oct 20, 2020
2 Resources
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2 Resources
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Fallon FORGE: Well Temperature Data
x,y,z downhole temperature data for wells in and around the Fallon FORGE site. Data for the following wells are included: 82-36, 82-19, 84.31, 61-36, 88-24, FOH-3D, FDU-1, and FDU-2. Data are formatted in txt format and in columns for importing into Earthvision Software. Column he...
Blankenship, D. Sandia National Laboratories
Mar 01, 2016
1 Resources
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1 Resources
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Brady's Geothermal Field List of Sentinel-1A InSAR Images
List of Sentinel-1A InSAR images acquired between 2014-11-01 and 2016-10-31, and archived at the link below.
NOTE: The user must create an account in order to access the data
Feigl, K. University of Wisconsin
Nov 03, 2016
2 Resources
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2 Resources
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