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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
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EGS Collab Experiment 1: Tracer data tests

This file contains the first set of tracer data for the EGS Collab testbed. The first set of tracer tests were conducted during October-November, 2018. We have included tracer data for C-dots, chloride, fluorescein, and rhodamine-B. The details about the tracer test can be found i...

Neupane, G. et al Idaho National Laboratory

Apr 16, 2019
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Dynamic Column Extraction for Europium on Media 1 at Ambient Temperature

This is a dataset for a 200ppm europium solution sent through a column with 12g of media #1 at pH of 3.2. This column experiment was run at ambient temperature at a flow rate of 2mL/min.

Garland, G. Tusaar Corp.

Apr 07, 2015
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Ocean Thermal Energy Conversion (OTEC) Datasets

The data presented here were collected from the Ocean Thermal Extractable Energy Visualization (OTEEV) project. The OTEEV project focused on assessing the Maximum Practicably Extractable Energy (MPEE) from the world's ocean thermal resources. This project explored the feasibili...

Langle, N. et al National Renewable Energy Laboratory

Nov 25, 2014
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Comparative Analysis of Alternative Means for Removing Noncondensable Gases from Flashed-Steam Geothermal Power Plants:April 1999 March 2000

This dataset corresponds to the final report on a screening study to compare six methods of removing noncondensable gases from direct-use geo-thermal steam power plants. This report defines the study methodologies and compares the performance and economics of selected gas-removal ...

Hallett, K. and Laboratory, N. National Renewable Energy Laboratory

Nov 25, 2014
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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Raleigh Housing Authority Duct Sealing Evaluation

In multifamily and attached buildings, manual duct sealing methods are often impractical or very costly and disruptive because of the difficulty in accessing leakage sites. In this project, two retrofit duct sealing techniques manually applied sealants and injecting a spray sealan...

Dentz, J. et al The Levy Partnership, Inc Systems Building Research Alliance

Apr 27, 2016
18 Resources
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Fish Detection AI, sonar image-trained detection, counting, tracking models

The Fish Detection AI project aims to improve the efficiency of fish monitoring around marine energy facilities to comply with regulatory requirements. Despite advancements in computer vision, there is limited focus on sonar images, identifying small fish with unlabeled data, and ...

Gutstein, S. et al Water Power Technology Office

Aug 25, 2024
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Assessing REE Concentrations in Geothermal and Oil and Gas Produced Waters: A Potential Domestic Source of Strategic Mineral Commodities

The project team collected and analyzed 224 water samples and 101 matching rock samples. INL's improved method of measuring aqueous REEs allows study of samples previously thought too volume limited to measure. The study found that aqueous REEs occur at trace levels in all analyz...

Quillinan, S. et al University of Wyoming

Mar 08, 2019
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Imperial Valley Dark Fiber Project Continuous DAS Data

The Imperial Valley Dark Fiber Project acquired Distributed Acoustic Sensing (DAS) seismic data on a ~28 km segment of dark fiber between the cities of Calipatria and Imperial in the Imperial Valley, Southern California. Dark fiber refers to unused optical fiber cables in telecomm...

Ajo-Franklin, J. et al Lawrence Berkeley National Laboratory

Nov 10, 2020
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Mass Customization of Prefabricated Panel Blocks for Deep Wall Insulation Retrofits

The project this data comes from looks to make building wall retrofits less expensive and easier to install by using exterior insulating panels. This is done to make buildings more energy efficient without expensive wall retrofits or reconstruction. The "Measurement and Verificati...

Sharon, A. et al Fraunhofer Center for Manufacturing Innovation CMI

Dec 14, 2021
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Field Testing of Compartmentalization Methods for Multifamily Construction Washington DC

BSC TO5 Task 2.1 Field Testing of Compartmentalization Methods for Multifamily Construction Capitol Heights, MD 20743 A building comprising five vertical townhome units was built in the Washington, D.C., area; the townhomes were three-story slab-on-grade units (1700-2000 ft2) wit...

Ueno, K. and Lstiburek, J. Building Science Corporation

Apr 27, 2016
22 Resources
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Smart Grid Data from the American Recovery and Reinvestment Act (ARRA) Projects

The data provided in this Excel spreadsheet is the final data that was collected through the Smart Grid Data Hub and provided by the individual Smart Grid Investment Grant (SGIG) project recipients. The project recipients represent utilities from across the country who received f...

Brodt-Giles, D. and Laboratory, N. National Renewable Energy Laboratory

Jun 02, 2015
2 Resources
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Utah FORGE 2-2446: Report on Phase Field Modelling of Near-Wellbore Hydraulic Fracture Nucleation and Propagation

This is a report that describes the modelling of fracture nucleation and propagation in the near-wellbore region to understand the relationship between in situ stress and fracture patterns. A novel phase field formulation is described here, which represents fractures as a diffuse ...

Cusini, M. and Fei, F. Lawrence Livermore National Laboratory

Dec 31, 2023
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Utah FORGE 2-2439v2: Reports on Stress Prediction and Modeling for Well 16B(78)-32 May 2025

These two reports from the University of Pittsburgh document related efforts under Utah FORGE Project 2-2439v2 to estimate in-situ stresses in well 16B(78)-32 using laboratory data, machine learning models, and physics-based simulations. One report focuses on developing and valida...

Lu, G. et al University of Pittsburgh

Jun 05, 2025
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Super-Resolution for Renewable Resource Data and Urban Heat Islands (Sup3rUHI)

Super-Resolution for Renewable Resource Data and Urban Heat Islands (Sup3rUHI) introduces machine learning methods to incorporate high-resolution Urban Heat Island (UHI) effects into low-resolution historical reanalysis and future climate model datasets. The dataset includes model...

Buster, G. et al National Renewable Energy Lab (NREL)

Oct 16, 2024
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M3 Wave DMP/APEX WEC Final Technical Report

This project successfully developed methods for numerical modeling of sediment transport phenomena around rigid objects resting on or near the ocean floor. These techniques were validated with physical testing using actual sediment in a large wave tank. These methods can be applie...

Morrow, M. et al M3 Wave

May 31, 2018
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Triton Field Trials (TFiT) underwater noise University of New Hampshire Living Bridge turbine Processed Data

In July 2021, a commercial-off-the-shelf hydrophone was deployed in a free-drifting configuration to measure underwater acoustic emissions and characterize a 25 kW-rated tidal turbine at the University of New Hampshire's Living Bridge Project in Portsmouth, New Hampshire. Sampling...

Haxel, J. et al Pacific Northwest National Laboratory

Jul 21, 2021
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Utilization Analysis in Low-Temperature Geothermal Play Fairway Analysis for the Appalachian Basin (GPFA-AB)

This submission of Utilization Analysis data to the Geothermal Data Repository (GDR) node of the National Geothermal Data System (NGDS) is in support of Phase 1 Low Temperature Geothermal Play Fairway Analysis for the Appalachian Basin. The submission includes data pertinent to th...

E., T. Cornell University

Sep 30, 2015
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Repetitive Regeneration of Media 1 after REE Sorption from Brine 1 at 70C

This dataset shows the ability of media #1 to be loaded with REE's, stripped of the REE's sequestered, regenerated, and reused over many cycles.

Garland, G. Tusaar Corp.

Jul 23, 2015
3 Resources
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Utah FORGE: EGS Reservoir Produced Fluids Geochemistry 2022-2024

This dataset contains geochemical analyses of produced fluids from the Utah FORGE site, specifically from wells 16A(78)-32, 16B(78)-32, and 58-32, collected during various stimulation, flowback, and circulation tests conducted between 2022 and 2024. The data contains element conce...

Simmons, S. et al Energy and Geoscience Institute at the University of Utah

Feb 26, 2025
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Structural Inventory of Great Basin Geothermal Systems and Definition of Favorable Structural Settings

Structural controls of 426 geothermal systems in the Great Basin region including western Nevada, central Nevada, northwestern Nevada, northeastern Nevada, east-central Nevada, eastern California, southern Oregon, and western Utah were analyzed with literature research, air photos...

Faulds, J. University of Nevada

Dec 31, 2013
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Utah FORGE: Orientation of Borehole and Surface Seismic Stations

The University of Utah Seismograph Stations (UUSS) are responsible for the seismic monitoring of the experiments and have installed a series of permanent surface and borehole seismic instruments around the Utah FORGE project site. This report discusses the methods used for proper ...

Bradshaw, P. et al University of Utah Seismograph Stations

Jun 21, 2023
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Improvements in 2016 to Natural Reservoir Analysis in Low-Temperature Geothermal Play Fairway Analysis for the Appalachian Basin

*These files add to and replace same-named files found within Submission 559 (hover over file display names to see actual file names in bottom-left corner of screen)* The files included in this submission contain all data pertinent to the methods and results of a cohesive multi-st...

Camp, E. Cornell University

Aug 18, 2016
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Wet Chemical Compositional and Near IR Spectra Data Sets for Biomass

Near-infrared (NIR) calibration models are created by applying multivariate calibration methods to the combination of wet chemistry data and NIR spectra of a given set of biomass samples. Wet chemical compositional data and NIR spectra exist for the following types of biomass samp...

WolfrumNational Renewable Energy Laboratory

Nov 22, 2019
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