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Utah FORGE: Phase 3 Microgravity Data

A 4D microgravity survey began in early 2019 in order to benchmark surface and subsurface elevations prior to Phase 3 drilling and stimulation campaigns. Microgravity stations are collocated with GPS deformation benchmarks and use the same location survey data. Surveys are underta...

Hardwick, C. Utah Geological Survey

Oct 07, 2020
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Utah FORGE Groundwater Levels: Updated March 2022

This Excel spreadsheet contains Utah FORGE groundwater data for wells WOW2 and WOW3. The data was updated on March 16th, 2022 and contains legacy data. Groundwater data includes the level, offset, date, and time for each measurement. Temperature, drift, water elevation and other p...

Kirby, S. Utah Geological Survey

Mar 16, 2022
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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
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Utah FORGE 2-2404: Application of Advanced Techniques for Determination of Reservoir-Scale Stress State at Utah FORGE Workshop Presentation

This is a presentation on the Application of Advanced Techniques for Determination of Reservoir-Scale Stress State at Utah FORGE project by the University of Oklahoma, presented by Dr. Ahmad Ghassemi, McCasland Chair Professor. The project's objective was to develop a methodology ...

Ghassemi, A. University of Oklahoma

Sep 08, 2023
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Utah FORGE 10-3726: Geothermal Multiset Straddle for High Temperature Applications 2024 Annual Workshop Presentation

This is a presentation on the Geothermal Multiset Straddle (GMS) for High Temperature Applications by Welltec, presented by Ricardo Vasques. This video slide presentation discusses the development of (1) an annular multiset isolation system; (2) a stimulation straddle isolation sy...

Esquitin, Y. and Vasques, R. Energy and Geoscience Institute at the University of Utah

Sep 17, 2024
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USU Camas-1 Test Well: Documentation

This submission contains documents that describe the USU Camas-1 test well, drilled in Camas Prairie, Idaho, in Fall 2018 and Fall 2019. The purpose of this well is to validate exploration methodologies of the Snake River Plain (SRP) Play Fairway Analysis (PFA) project.

Shervais, J. Utah State University

Oct 31, 2018
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3D Model of the McGinness Hills Geothermal Area

The McGinness Hills geothermal system lies in a ~8.5 km wide, north-northeast trending accommodation zone defined by east-dipping normal faults bounding the Toiyabe Range to the west and west-dipping normal faults bounding the Simpson Park Mountains to the east. Within this broad ...

E. Faulds, J. University of Nevada

Dec 31, 2013
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Fallon FORGE: 3D Geologic Model

The 3D geologic model for the Fallon for site was constructed in EarthVision software using methods similar to (Moeck et al., 2009, 2010; Faulds et al., 2010b; Jolie et al., 2012, 2015; Hinz et al., 2013a; Siler and Faulds, 2013; Siler et al., 2016a, b) References are included in ...

Blankenship, D. and Siler, D. Sandia National Laboratories

Mar 01, 2018
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Penn State Lab Testing Fluid-Rock Interaction in Geothermal Reservoirs

This project focused on assessment and discovery of fluid-rock interaction in geothermal reservoirs. We accomplished work in four main areas: 1) fracture formation and the relationship between fluid flow and shear failure, 2) assessment of fracture geometry and fluid permeability ...

Madara, B. et al Pennsylvania State University

Jan 01, 2018
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Shallow EGS Regional Resource Potential and Map Snake River Plain

SMU Geothermal Lab developed a methodology to estimate shallow (1 km to 4 km) Enhanced Geothermal Systems (EGS) resource potential using an approach that utilizes recent geology and geophysical research along with new well data to improve the thermal conductivity model, mitigate i...

Batir, J. et al Southern Methodist University Huffington Department of Earth Sciences

Oct 30, 2020
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GPS Station RINEX Files and Position Time-Series

Links to URL's with latest position time-series of GPS stations SEMN, SEMS, and GARL at the San Emidio Desert Geothermal Area as well as URL with links to archived RINEX files. The data is being taken as part of the WHOLESCALE project for the purpose of developing a protocol for s...

Feigl, K. University of Wisconsin

Oct 14, 2021
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EGS Collab Experiment 2: Earth Model Datasets

The EGS Collab Project performed a series of tests to increase the understanding the response of crystalline rock mass to stimulations and fluid circulation to efficiently implement enhanced geothermal systems (EGS) technologies. The EGS Collab team created two underground testbed...

Neupane, G. et al Idaho National Laboratory

May 29, 2022
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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
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Geothermal Technologies Program GETEM and LCOE Improvements Review (March 21, 2013)

This file was a report submitted to GTO by Mark Paster, a consultant to the GETEM project, to outline the improvements that were made between summer 2011 and spring 2013. The report focuses on six areas of model improvement: (1) Site Specific Cost Variability; (2) Consistency wi...

Paster, M. Idaho National Laboratory

Mar 21, 2013
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South Park Mountain Data: South Park, Colorado (Data)

South Park, Colorado data including "Live" data and plots, updated every 2 hours. Daily plots and raw data files, are available from March 28, 1997 to yesterday. Solar Calendars, are available from March 1997 to the present month. Wind roses (monthly, seasonal, & yearly) are av...

McKenna and AndreasNational Renewable Energy Laboratory

Dec 17, 2014
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2021 Annual Technology Baseline (ATB) Cost and Performance Data for Electricity Generation Technologies

Starting in 2015 NREL has presented the Annual Technology Baseline (ATB) in an Excel workbook that contains detailed cost and performance data, both current and projected, for renewable and conventional technologies. The workbook includes a spreadsheet for each technology. This ve...

Vimmerstedt, L. et al National Renewable Energy Laboratory (NREL)

Jul 12, 2021
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Dataset for report: Non-Technical Barriers to Geothermal Development in California and Nevada

In California and Nevada, geothermal projects are subject to non-technical barriers, which may create development delays leading to higher project costs and risks and decreased competitiveness with other electricity generation technologies. These non-technical barriers may include...

Levine, A. et al National Renewable Energy Laboratory

Mar 10, 2022
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Utah FORGE: Fluid Injection Induced Shearing Experiments on Fractured Granitoid at Elevated Temperatures

This repository contains experimental data from a series of fluid injection-induced shearing tests conducted on Utah FORGE granitoid. The experiments were performed using an aluminum triaxial pressure vessel (TEMCO) apparatus at Pennsylvania State University. The primary aim was t...

Elsworth, D. et al Pennsylvania State University

Aug 12, 2024
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High-Pressure and High-Temperature (HPHT) Lost Circulation Material (LCM) Testing

High-pressure and high-temperature (HPHT) lost circulation material (LCM) rheology test results, LCM particle size distributions (PSD) analysis, and HPHT LCM fluid loss test results. Three academic papers / reports derived from this research are also presented.

Salehi, S. and Vivas, C. University of Oklahoma

Nov 30, 2021
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Technical Report-Rare Earth Element Data Associated with Oil and Gas Reservoir Rock

This work was developed to complement the geochemical assessments of produced water and geothermal water samples. Specifically, this task was designed to test the influence of reservoir rock-type and corresponding mineralogy/geochemistry on the concentrations of REE found in oil a...

McLaughlin, J. et al University of Wyoming

Jul 01, 2017
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Utah FORGE: 2020-2021 Geothermal Energy/EGS Survey and Results

The Utah FORGE project collaborated with the University of Utahs Department of Communication on a Capstone course during Fall Semester 2020. The course created a survey to gauge the general populations knowledge of geothermal energy and Enhanced Geothermal Systems (EGS). The surve...

Yeo, S. and McKasy, M. Energy and Geoscience Institute at the University of Utah

Jul 20, 2021
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Deep Sedimentary Basin EGS Development

Stratigraphic reservoirs with high permeability and temperature at economically accessible depths are attractive for power generation because of their large areal extent (> 100 km2) compared to the fault controlled hydrothermal reservoirs (< 10 km2) found throughout much of the we...

Allis, R. and Moore, J. University of Utah

Jan 24, 2013
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Structural Controls of the Neal Hot Springs Geothermal System, Eastern Oregon

Detailed geologic mapping (1:24,000 scale), structural and geochemical analyses, and integration of available geophysical and well-field data were utilized to assess the structural controls of the Neal Hot Springs geothermal field in eastern Oregon. The geothermal field lies withi...

Edwards, J. and Faulds, J. University of Nevada

May 31, 2013
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Dynamic Earth Energy Storage: Terawatt-Year, Grid-Scale Energy Storage using Planet Earth as a Thermal Battery (GeoTES): Seedling Project Final Report

Grid-scale energy storage has been identified as a needed technology to support the continued build-out of intermittent renewable energy resources. As of April 2017, the U.S. had approximately 24.2 GW of energy storage on line, compared to 1,081 GW of installed generation capacity...

McLing, T. et al Idaho National Laboratory

May 31, 2019
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Machine Learning-Assisted High-Temperature Reservoir Thermal Energy Storage Optimization: Numerical Modeling and Machine Learning Input and Output Files

This data set includes the numerical modeling input files and output files used to synthesize data, and the reduced-order machine learning models trained from the synthesized data for reservoir thermal energy storage site identification. In this study, a machine-learning-assiste...

Jin, W. et al Idaho National Laboratory

Apr 15, 2022
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