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Utah FORGE: Rock Properties
This is an Excel spreadsheet that contains rock properties from several wells in the Utah FORGE study area. This includes a map of the wells. Data is described in the Final Topical Report included in the resources below.
Gwynn, M. Energy and Geoscience Institute at the University of Utah
Apr 07, 2018
2 Resources
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2 Resources
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Nevada Play Fairway Crescent Valley Geodatabase and Modeling Data
This package contains data and metadata for 2-meter temperature probe survey, gravity, slip dilation, XRD analyses, play fairway modeling, and ArcGIS geodatabase resources.
This project focused on defining geothermal play fairways and development of a detailed geothermal potentia...
Faulds, J. Nevada Bureau of Mines and Geology
Aug 25, 2018
1 Resources
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1 Resources
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Nevada Play Fairway Gabbs Valley Geodatabase and Modeling Data
This package contains data and metadata for 2-meter temperature probe survey, gravity, slip dilation, play fairway modeling, and ArcGIS geodatabase resources.
This project focused on defining geothermal play fairways and development of a detailed geothermal potential map of a lar...
Faulds, J. Nevada Bureau of Mines and Geology
Aug 25, 2018
1 Resources
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1 Resources
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Nevada Play Fairway Sou Hills Geodatabase and Modeling Data
This package contains data and metadata for 2-meter temperature probe survey, gravity, LiDAR, slip dilation, well headers, play fairway modelling, and ArcGIS geodatabase resources.
This project focused on defining geothermal play fairways and development of a detailed geothermal ...
Faulds, J. Nevada Bureau of Mines and Geology
Aug 25, 2018
1 Resources
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1 Resources
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Utah FORGE: Phase 3 Ground Water Level Monitoring Data
Groundwater data around the Utah FORGE site has been collected to determine the piezometric levels and compositional variability. Field measurements in 2020 are designed to obtain and survey new groundwater wells that have been drilled on the distal periphery of the Utah FORGE pro...
Kirby, S. Utah Geological Survey
Sep 30, 2020
1 Resources
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1 Resources
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Utah FORGE 5-2615: Well 58-32 and 78-32 Poroelastic Properties
Lab data on permeability, grain bulk modulus, drained bulk modulus, Skempton's pore pressure coefficient, and Biot's effective stress coefficient for Utah Forge Well 58-32 and Well 78-32.
Work done as part of project number 5-2615 by the University of Oklahoma.
Ghassemi, A. and Zhou, X. University of Oklahoma
Oct 31, 2022
2 Resources
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2 Resources
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Utah FORGE 1-2410: Development of a Smart Completion and Stimulation Solution 2024 Annual Workshop Presentation
This is a presentation on the Development of a Smart Completion & Stimulation Solution by Welltec, presented by Ricardo Vasques. This video slide presentation discusses the development of an (1) annular isolation system, (2) a stimulation isolation system, and (3) a multi open-cl...
Esquitin, Y. et al Energy and Geoscience Institute at the University of Utah
Sep 15, 2024
1 Resources
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1 Resources
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2022 Annual Technology Baseline (ATB) Cost and Performance Data for Electricity Generation Technologies
These data provide the 2022 update of the Electricity Annual Technology Baseline (ATB). Starting in 2015 NREL has presented the ATB, consisting of detailed cost and performance data, both current and projected, for electricity generation and storage technologies. The ATB products ...
Vimmerstedt, L. et al National Renewable Energy Laboratory (NREL)
Jun 01, 2022
14 Resources
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14 Resources
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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: Final Topical Report 2018
This is the final topical report for the Phase 2B Utah FORGE project, which is located near Roosevelt Hot Springs, Utah. This PDF format report details results associated with the conceptual geologic model, deep well 58-32, rock geomechanics, reservoir temperatures, seismic survey...
Moore, J. et al Energy and Geoscience Institute at the University of Utah
Apr 07, 2018
2 Resources
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2 Resources
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Newberry EGS Demonstration: Well 55-29 Stimulation Data
The Newberry Volcano EGS Demonstration in central Oregon, a 3 year project started in 2010, tests recent technological advances designed to reduce the cost of power generated by EGS in a hot, dry well (NWG 55-29) drilled in 2008. First, the stimulation pumps used were designed to ...
T., T. AltaRock Energy Inc
Dec 08, 2012
136 Resources
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136 Resources
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Filenames of Data from the 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 lists all file names from Distributed Acoustic Sensing (DAS) data collected...
Lancelle, C. et al University of Wisconsin
Jul 01, 2015
2 Resources
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2 Resources
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Brady's Geothermal Field DASH Resampled in Time
This submission includes a link to the DASH (Horizontal distributed acoustic sensing) data files that were resampled in time to 100 samples per second from the original 1000 samples per second files.
Data is in 30 second Matlab files organized into directories by day. The README_D...
Feigl, K. University of Wisconsin
Jul 07, 2017
3 Resources
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3 Resources
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REE Adsorption Performance with Immobilized Caulobacter Biofilms
This submission includes data collected from experiments on the performance of rare earth adsorption by immobilized bacteria that accompany the FY18 Q2 and Q3 quarter reports. Relevant information from these reports is included in a resource below. The spreadsheet below includes d...
Jiao, Y. and Park, D. Lawrence Livermore National Laboratory
Apr 01, 2018
2 Resources
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2 Resources
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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
1 Resources
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1 Resources
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Hawaii Play Fairway Analysis: Groundwater Chemistry
Groundwater geochemistry data collected for the phase 2 of the Hawaii Play Fairway Analyses. These data are included in a Lautze et al. paper to Geothermics (in review).
Lautze, N. University of Hawaii
Mar 20, 2017
4 Resources
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4 Resources
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Matlab Scripts and Sample Data Associated with Water Resources Research Article
Scripts and data acquired at the Mirror Lake Research Site, cited by the article submitted to Water Resources Research:
Distributed Acoustic Sensing (DAS) as a Distributed Hydraulic Sensor in Fractured Bedrock
M. W. Becker(1), T. I. Coleman(2), and C. C. Ciervo(1)
1 California St...
Becker, M. and Coleman, T. California State University
Jul 18, 2015
2 Resources
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2 Resources
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Active Source Seismic (Ultrasonic) Data from Double-Direct Shear Lab Experiments
Active source ultrasonic data from lab experiments p5270 and p5271 including raw waveforms (WF) and mechanical data (mat). From the PSU team working on the "Machine Learning Approaches to Predicting Induced Seismicity and Imaging Geothermal Reservoir Properties" project. The fric...
Marone, C. Pennsylvania State University
May 05, 2021
1 Resources
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1 Resources
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Geochemistry and paleo-geothermal features Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada
This submission contains the geochemistry dataset and paleo-geothermal features (sinter, travertine, tufa) (shapefiles and symbology) used in the Nevada Geothermal Machine Learning project.
A submission linking the full GitHub repository for our machine learning Jupyter Notebooks...
Faulds, J. and Ayling, B. Nevada Bureau of Mines and Geology
Nov 01, 2020
2 Resources
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2 Resources
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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
3 Resources
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3 Resources
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Utah FORGE 1-2409: PetroQuip Energy Services Zonal Isolation Solution for Geothermal Wells 2024 Annual Workshop Presentation
This is a presentation on the Zonal Isolation Solution for Geothermal Wells by PetroQuip Energy Services, presented by Robert Coon. This video slide presentation discusses the proposed design and development of a multi-stage system consisting of an Open-Hole Packer (OHP), a Locki...
Coon, R. and Long, R. Energy and Geoscience Institute at the University of Utah
Sep 04, 2024
1 Resources
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1 Resources
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Utah FORGE 3-2418: Wellbore Fracture Imaging Using Inflow Detection 2024 Annual Workshop Presentation
This is a presentation on the Wellbore Fracture Imaging Using Inflow Detection by Stanford University and Sandia National Laboratory, presented by Roland Horde. This is a video presentation on wells, both before and after stimulation, using chloride or other ions to map fractures ...
Horne, R. and Schneider, M. Energy and Geoscience Institute at the University of Utah
Sep 13, 2024
1 Resources
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1 Resources
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Utah FORGE 8-3637: Integrated Diagnostics for Interpreting Doublet Heat Sweep Efficiency 2024 Annual Workshop Presentation
This is a presentation on the Integrated Diagnostics for Interpreting Doublet Heat Sweep Efficiency by Texas Tech University, presented by Smith Leggett. This video slide presentation discusses the ID squared technical objectives to develop and integrate diagnostic tools to deter...
Leggett, S. Energy and Geoscience Institute at the University of Utah
Sep 14, 2024
1 Resources
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1 Resources
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Utah FORGE 6-3712: Probabilistic Estimation of Seismic Response Using Physics-Informed Recurrent Neural Networks 2024 Annual Workshop Presentation
This is a presentation on the Probabilistic Estimation of Seismic Response Using Physics-Informed Recurrent Neural Networks by GTC Analytics, presented by Jesse Williams. This video slide presentation discusses the development of machine learning-based predictive tools to estimate...
Williams, J. Energy and Geoscience Institute at the University of Utah
Sep 17, 2024
1 Resources
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1 Resources
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Utah FORGE: Well Data for Student Competition
Well 58-32 (previously labeled MU-ESW1) was drilled near Milford Utah during Phase 2B of the FORGE Project to confirm geothermal reservoir characteristics met requirements for the final FORGE site.
Well Accord-1 was drilled decades ago for geothermal exploration purposes. While ...
Podgorney, R. et al Idaho National Laboratory
Dec 07, 2018
12 Resources
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12 Resources
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