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Alternative CAES Technology Using Depleted Unconventional Gas Wells and Subsurface Thermal Energy Storage (GeoCAES)
This project assessed the technical viability of a process called GeoCAES. The process stores electrical energy by injecting natural gas into shale gas formations using a compressor, storing it, and producing it through an expander to generate electricity. This data submission inc...
Johnston, H. and Young, D. National Renewable Energy Laboratory
May 23, 2019
8 Resources
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8 Resources
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Utah FORGE: Optimization of a Plug-and-Perf Stimulation (Fervo Energy)
Information around the plug-and-perf treatment design at Utah FORGE by Fervo Energy.
Objective and Purpose:
Develop a multistage hydraulic stimulation approach designed specifically to target the top three factors that control the technical and commercial viability of an EGS sys...
Norbeck, J. et al Fervo Energy
Feb 08, 2023
3 Resources
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3 Resources
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Utah FORGE: Video of Utah FORGE Drilling Planning for Production Well 16B(78)-32
This is a YouTube video containing the specifics of well planning for Utah FORGE 16B(78)-32. This well will be drilled as a doublet approximately 300 feet parallel to and above 16A(78)-32 and will be drilled between approximately April 15th and July 17th 2023.
McLennan, J. Energy and Geoscience Institute at the University of Utah
Mar 03, 2023
2 Resources
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2 Resources
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EGS Collab Experiment 2: Results of Tracer Tests
Multiple sets of tracer tests were conducted at the EGS Collab Testbed 2 on the 4100 L at the Sanford Underground Research Facility (SURF), Lead, SD. The enclosed data package includes: tracer recovery results, water balance calculations and rationales, water flow measurement for ...
Neupane, G. et al Idaho National Laboratory
Jul 26, 2022
5 Resources
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5 Resources
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Snake River Plain Play Fairway Analysis Favorability Models
This submission contains a link to two USGS data publications. Each data release contains all digital geographic data used and produced by the Snake River Plain Play Fairway Analysis for Phase 1 and Phase 2 (ArcGIS shapefiles and raster files) as well as the model processing scrip...
DeAngelo, J. et al Utah State University
Jun 01, 2020
4 Resources
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4 Resources
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Passive Seismic Emission Tomography Results at San Emidio Nevada
The utility of passive seismic emission tomography for mapping geothermal permeability has been tested at San Emidio in Nevada. The San Emidio study area overlaps a geothermal field in production since 1987 and another resource to the south of the production field. Passive seismic...
Warren, I. et al Ormat Technologies, Inc.
Dec 01, 2016
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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SubTER Final Magnetotelluric (MT) Data: Mineral Mountains, Utah
Subsurface Science, Technology and Engineering Research, and Development (SubTER) Crosscut is a collaboration across the Department of Energy offices involved in research activities in energy production/extraction, subsurface storage, and environmental remediation. This submission...
Wannamaker, P. Energy and Geoscience Institute at the University of Utah
Oct 13, 2021
2 Resources
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2 Resources
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Magnetotelluric Data Collected in 2016 over the San Emidio Geothermal Field in Nevada
This data set includes the magnetotelluric (MT) data collected from October 21 to November 9, 2016 over the San Emidio geothermal field in Nevada by Quantec Geoscience USA Inc. on behalf of US Geothermal Inc. as part of a project entitled "A Novel Approach to Map Permeability Usi...
Folsom, M. et al Ormat Technologies, Inc.
Nov 09, 2016
11 Resources
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11 Resources
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Data Arrays for Microearthquake (MEQ) Monitoring using Deep Learning for the Newberry EGS Sites
The 'Machine Learning Approaches to Predicting Induced Seismicity and Imaging Geothermal Reservoir Properties' project looks to apply machine learning (ML) methods to Microearthquake (MEQ) data for imaging geothermal reservoir properties and forecasting seismic events, in order to...
Zhu, T. Pennsylvania State University
May 05, 2021
4 Resources
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4 Resources
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Model results and data for Nontechnical Barriers to Geothermal Development
Data included in this submission support the analysis conducted for the report "Nontechnical Barriers to Geothermal Development" which is linked bellow. These data include information about the power purchase agreements (PPAs) analyzed for the report, inputs and model results for ...
Rabinowitz, H. et al Pacific Northwest National Laboratory
Jul 25, 2022
4 Resources
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4 Resources
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EGS Collab Experiment 1: Microseismic Monitoring
The U.S. Department of Energy's Enhanced Geothermal System (EGS) Collab project aims to improve our understanding of hydraulic stimulations in crystalline rock for enhanced geothermal energy production through execution of intensely monitored meso-scale experiments. The first expe...
Schoenball, M. et al Lawrence Berkeley National Laboratory
Jul 29, 2019
45 Resources
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45 Resources
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Utah FORGE: 2022 Well Stimulation Seismicity Data Including SeGY Data
This is a link to the Utah FORGE seismic data distribution site hosted by the University of Utah Seismograph Stations. The data was collected from downhole geophone strings in wells 56-32, 58-32 and 78B-32 during the 2022 stimulation of well 16A(78)-32. This dataset, which was upd...
Pankow, K. University of Utah Seismograph Stations
Apr 14, 2023
1 Resources
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1 Resources
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Utah FORGE: Phase 2C Seismic Observation and Ground Water Well Data and Well Locations
This submission contains the following data associated with Utah FORGE Phase 2C within the Roosevelt Hot Springs geothermal area:
An ArcGIS shapefile with well locations for wells 58-32, 78-32, 68-32, OH-3, OH-4, WOW-2, and WOW-3. Well 58-32 is the deep test well, wells 68-32 an...
Abraham, S. et al Energy and Geoscience Institute at the University of Utah
Mar 26, 2019
6 Resources
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6 Resources
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Utah FORGE Wells Updated Temperature and Pressure Logs (June 2021)
This dataset includes updated temperature and pressure logs for Utah FORGE wells 56-32, 78-32, and 58-32. This data was acquired in June 2021.
Stout, F. Di Drill Survey Services
Jun 29, 2021
4 Resources
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4 Resources
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Utah FORGE: Roosevelt Hot Springs Analytical Well-Based Temperature Model Data
This submission contains a cumulative record of one-dimensional temperature modeling based off of well data in the vicinity of the Utah FORGE site. Temperature log data from wells used, and in some cases were extrapolated below the bottom of a number of wells. The data were corre...
Podgorney, R. and Allis, R. Idaho National Laboratory
Dec 07, 2018
2 Resources
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2 Resources
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Utah FORGE: Updated FMI Fracture Log from Well 16A(78)-32
This dataset consists of an Excel spreadsheet detailing the fracture picks from a reinterpretation of the formation micro-imaging (FMI) log from Utah FORGE well 16A(78)-32. The provided information details fracture location, geometry, and type. Also included here is a link to the...
Handwerger, D. Energy and Geoscience Institute at the University of Utah
Apr 17, 2024
2 Resources
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2 Resources
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EGS Collab Experiment 2: Testbed Well Orientation Data
This dataset contains the north seeking gyro data for each of the 11 boreholes drilled at the Experiment 2 testbed on the 4100 foot level of the SURF (Sanford Underground Research Facility). Each gyro file is in individual folders for each well. A single folder called 'E2 All Well...
Schwering, P. and Neupane, H. Lawrence Berkeley National Laboratory
Jul 26, 2021
2 Resources
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2 Resources
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Utah FORGE: High-Resolution DAS Microseismic Data from Well 78-32
This regards a high-resolution DAS microseismic dataset produced by Silixa from Utah FORGE Phase 2C seismic monitoring well 78-32 during stimulation testing of well 58-32. It is a very large dataset and as such it is currently not directly available on GDR. However, it is availabl...
Martin, T. and Nash, G. Energy and Geoscience Institute at the University of Utah
Oct 20, 2019
5 Resources
0 Stars
Publicly accessible
5 Resources
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Publicly accessible
Utah FORGE: Updated Seismic Event Catalogue from the April, 2022 Stimulation of Well 16A(78)-32
These are revised catalogs, related to the April, 2022 well 16A(78)-32 stimulation (phases 1,2, & 3), provided by Geo Energie Suisse (GES) that include additional events at the start of Stage 1 and some tidying up of some locations. These catalogs also include events for additiona...
Dyer, B. et al University of Utah Seismograph Stations
Nov 09, 2022
1 Resources
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1 Resources
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Utah FORGE: Drilling Data for Student Competition
Diagnostic drilling data (Pason log files) from Well 58-32 (previously labeled MU-ESW1), which was drilled near Milford Utah during Phase 2B of the FORGE Project to confirm geothermal reservoir characteristics met requirements for the final FORGE site. This dataset includes both ...
Podgorney, R. et al Idaho National Laboratory
Dec 07, 2018
2 Resources
0 Stars
Publicly accessible
2 Resources
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Publicly accessible
Utah FORGE Deep Wells Water and Gas Sampling with Analyses by ThermoChem (October, 2022)
This data includes a document that describes the effort to collect and analyze water and gas samples from deep Utah FORGE wells 16A(78)-32, 58-32, 56-32 and 78B-32 along with additional pdf files showing ThermoChem's analyses attached as an appendix.
Joness, C. Energy and Geoscience Institute at the University of Utah
Oct 26, 2022
2 Resources
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2 Resources
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Utah FORGE Well 16A(78)-32 Simplified Discrete Fracture Network Data
The FORGE team is making these fracture models available to researchers wanting a set of natural fractures in the FORGE reservoir for use in their own modeling work. They have been used to predict stimulation distances during hydraulic stimulation at the open toe section of well 1...
Finnila, A. Golder Associates Inc.
Jun 01, 2021
3 Resources
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3 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: 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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1 Resources
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