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EGS Collab Experiment 1: Well Locations and Orientations.
The EGS Collab is conducting experiments in hydraulic fracturing at a depth of 1.5 km in the Sanford Underground Research Facility (SURF) on the 4850 Level. A total of eight ~60m-long subhorizontal boreholes were drilled at that depth on the western rib of the West Access Drift. S...
Neupane, G. et al Idaho National Laboratory
Sep 05, 2018
12 Resources
0 Stars
Publicly accessible
12 Resources
0 Stars
Publicly accessible
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
1 Resources
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Publicly accessible
1 Resources
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Publicly accessible
Newberry EGS Well Logs, Earthquakes, Maps, Cross-Sections, and LiDAR Datasets
Datasets and information used to characterize the subsurface of Newberry and support modeling efforts. Includes sources for well logs, earthquakes, maps & cross-sections, and LiDAR/DEM
Rose, K. National Energy Technology Laboratory
Apr 22, 2016
1 Resources
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1 Resources
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EGS Collab Experiment 1: Wireline Geophysical Well Logs
This is the full wireline geophysical datasets for characterization of the EGS Collab Experiment #1 testbed on the 4850 level. A metadata file is included within the dataset explaining the logs, fracture picks, etc. Eight boreholes were drilled for this testbed and each one was lo...
Schwering, P. Lawrence Berkeley National Laboratory
Jan 08, 2018
1 Resources
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Publicly accessible
1 Resources
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Publicly accessible
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
1 Resources
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Fallon FORGE: Distinct Element Reservoir Modeling
Archive containing input/output data for distinct element reservoir modeling for Fallon FORGE. Models created using 3DEC, InSite, and in-house Python algorithms (ITASCA). List of archived files follows; please see 'Modeling Metadata.pdf' (included as a resource below) for addition...
Blankenship, D. et al Sandia National Laboratories
Mar 12, 2018
2 Resources
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Publicly accessible
2 Resources
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Post-Test SEM Examination of Brady Core, Desert Peak Core, and Stripa Granite Samples
As part of the shear-induced permeability test of Brady well BCH-03, Desert Peak well DP 35-13, and Stripa granite samples, the three post-test (reacted) rock samples were examined using a Scanning Electron Microscope (SEM). The SEM images of the core and elemental analysis are in...
Kneafsey, T. et al Lawrence Berkeley National Laboratory
Dec 23, 2015
4 Resources
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Publicly accessible
4 Resources
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Thermal Drawdown-Induced Flow Channeling in a Single Fracture in EGS
The evolution of flow pattern along a single fracture and its effects on heat production is a fundamental problem in the assessments of engineered geothermal systems (EGS). The channelized flow pattern associated with ubiquitous heterogeneity in fracture aperture distribution caus...
Guo, B. et al Lawrence Livermore National Laboratory
Nov 15, 2015
1 Resources
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1 Resources
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Newberry EGS Demonstration: Well 55-29 Stimulation Data 2014
The Newberry Volcano EGS Demonstration in central Oregon, a 5 year project begun 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 ru...
Cladhouhos, T. et al AltaRock Energy Inc
Sep 03, 2015
54 Resources
0 Stars
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54 Resources
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Utah FORGE 2439: A Multi-Component Approach to Characterizing In-Situ Stress
Core-based in-situ stress estimation, Triaxial Ultrasonic Velocity (labTUV) data, and Deformation Rate Analysis (DRA) data for Utah FORGE well 16A(78)-32 using triaxial ultrasonic velocity and deformation rate analysis. Report documenting a multi-component approach to characterizi...
Bunger, A. et al Battelle Memorial Institute
Dec 13, 2022
4 Resources
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4 Resources
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Fallon FORGE: Well 21-31 Wireline Logs
Included are the following wireline logs from the Fallon FORGE Well 21-31:
Ormat_Forge 21-31_8.5 inch section:
FMI data in PDF and DLIS formats;
MSCT data in PDF format;
Pressure and Temperature data in PDF, LAS, and DLIS formats;
Sonic Scanner data in PDF, DLIS, and LAS formats ...
Blankenship, D. Sandia National Laboratories
Mar 14, 2018
1 Resources
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1 Resources
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Brady's Geothermal Field Distributed Temperature Sensing Data
This submission is an 8 day time history of vertical temperature measurements in Brady observation well 56-1 collected during the PoroTomo field experiment. The data was collected with a fiber-optic DTS system installed to a depth of 372 m below wellhead. DTS installation uses a d...
Patterson, J. University of Wisconsin
Mar 26, 2016
2 Resources
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2 Resources
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Utah FORGE: Microseismic Monitoring Geophone Data from Well 78-32
This submission includes geophone data collected by Schlumberger from Utah FORGE Phase 2C seismic monitoring well 78-32 during stimulation testing of well 58-32. The data are hosted by the Center for High Performance Computing (CHPC) at the University of Utah, and a script for dow...
Pankow, K. University of Utah
Mar 18, 2020
5 Resources
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Publicly accessible
5 Resources
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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
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9 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 7-3639: Design and Implementation of a Novel Multi-Frac Stimulation Concept 2024 Annual Workshop Presentation
This is a presentation on the Design and Implementation of a Novel Multi-Frac Stimulation Concept by The University of Oklahoma, presented by Ahmad Ghassemi. This slide presentation video discusses the design and implementation of a reservoir stimulation concept improving near-wel...
Ghassemi, A. and Jeffery, R. Energy and Geoscience Institute at the University of Utah
Sep 02, 2024
1 Resources
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1 Resources
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West Flank Coso FORGE: Mud Logs
Mud logs for wells 83-11, 68-6, 33A-7, 33A-7RD, 52B-7, and 88-1 at West Flank
Blankenship, D. Sandia National Laboratories
May 13, 2016
1 Resources
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1 Resources
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Map of Validation of Innovative Exploration Technologies for Newberry Volcano
A map showing location of wells permitted, drilled and seismic test, as part of validation of innovative exploration technologies done for the Newberry Volcano project in 2012.
Jaffe, T. Davenport Newberry Holdings, LLC
Jul 01, 2012
1 Resources
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1 Resources
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Validation of Innovative Exploration Technologies for Newberry Volcano: Lithology Reports of TGWs
Validation of Innovative Exploration Technologies for Newberry Volcano: Lithology Reports of Temperature Gradient Wells
Jaffe, T. Davenport Newberry Holdings, LLC
Jan 01, 2012
1 Resources
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1 Resources
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Utah FORGE: Wells Wow2 and Wow3 Groundwater Monitoring Data
This dataset includes ground water level data for Utah FORGE Phase 2c ground water monitoring wells Wow2 and Wow3. The readme file explains the fields contained in the included Excel spreadsheet and contains the coordinates for the wells. The Excel spreadsheet contains raw data ta...
Kirby, S. Energy and Geoscience Institute at the University of Utah
Jun 20, 2019
2 Resources
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2 Resources
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Utah FORGE: UGS Interactive Geoscience Map
This is a link to the Utah Geological Survey's Utah FORGE Interactive Geoscience Map. The map layers include information on geology, geography, subsurface temperatures, seismicity, gravity and groundwater. Instructions for using the interactive map and a legend for the interactive...
Hill, J. Utah Geological Survey
Jan 01, 2021
1 Resources
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1 Resources
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Snake River Plain FORGE: Well Data for USGS-142
Well data for the USGS-142 well located in eastern Snake River Plain, Idaho. This data collection includes lithology reports, borehole logs, and photos of rhyolite core samples.
This collection of data has been assembled as part of the site characterization data used to develop ...
Twining, B. Idaho National Laboratory
Nov 23, 2015
6 Resources
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6 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: Initial Project Report and Induced Seismicity Mitigation Plan, 2011
This is the first project report and induced seismicity mitigation plan for the Newberry Enhanced Geothermal Systems (EGS) Demonstration project. The primary objectives of this first phase were to obtain necessary permits and comply with all regulations, including NEPA, communica...
Cladouhos, T. et al AltaRock Energy Inc
May 05, 2024
4 Resources
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4 Resources
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Utah FORGE 2439: Machine Learning for Well 16A(78)-32 Stress Predictions September 2023 Report
This task completion report documents the development and implementation of machine learning (ML) models for the prediction of in-situ vertical (Sv), minimum horizontal (SHmin) and maximum horizontal (SHmax) stresses in well 16A(78)-32. The detailed description of the experimental...
Mustafa, A. et al Battelle Memorial Institute
Sep 28, 2023
3 Resources
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3 Resources
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