OpenEI: Energy Information
  • Geothermal Data Repository
  • My User
    • Sign Up
    • Login
 
  • Data
    • View All Submissions
    • Data Lakes
    • Data Standards
    • Submit Data
  • Help
    • Frequently Asked Questions
    • Data Submission Best Practices
    • Data Submission Tutorial Videos
    • Contact GDR Help
  • About
  • Search

Search GDR Data

Showing results 1 - 9 of 9.
Show results per page.
Order by:
Available Now:
Filters Clear All Filters ×
Topic
Technologies
Demonstration Sites
Data Type
"cross-correlation"×
Flow and Circulation Tests×

Utah FORGE: Well 16B(78)-32 Post Hydraulic Fracturing 9 Hour Dual Well Circulation Test Fiber Optic Monitoring Report April 2024

Apr 27, 2024
5.78 MB
Publicly accessible
This report examines the fiber optic measurements made on the Utah FORGE well 16B(78)-32 after it and well 16A(78)-32 were hydraulically stimulated and shortly thereafter a 9 hour cross well circulation test was run between them. The report reviews distributed fiber optic signal p...
Authors
Guzik, A. and Davidson, E. Neubrex Energy Services (US), LLC
geothermalenergyfiber opticsneubrexstraintemperatureflow testcirculationhydraulic fracturingutah forgeegsrayleigh frequency shiftrfsdistributed strain sensingdsspumpingdischargeprocessed datareport16b78-3216a78-32distributed fiber opticsfiber optic monitoring

Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs

Feb 18, 2021
4.49 MB
Publicly accessible
Subsurface data analysis, reservoir modeling, and machine learning (ML) techniques have been applied to the Brady Hot Springs (BHS) geothermal field in Nevada, USA to further characterize the subsurface and assist with optimizing reservoir management. Hundreds of reservoir simulat...
Authors
Beckers, K. et al National Renewable Energy Laboratory
geothermalenergymachine learningsubsurfacecharacterizationbrady hot springspredictionreservoir modelingtime seriespcaprincipal component analysisreservoir managementbradys hot springsporotomoreservoirdual-porositystimulationinjection testmodeltemperatureflowpressuresimulationsingle-fracturedoubletheatmapheat maptensorflow

Utah FORGE: Well 16B(78)-32 DTS, RFS DSS Strain, and Absolute Strain Circulation Test Fiber Optic Data August 2024

Aug 30, 2024
1.99 GB
Publicly accessible
This dataset contains processed fiber optic measurements collected during the extended cross-well circulation test at the Utah FORGE site in August 2024. The data was acquired from the 16B(78)-32 well using distributed fiber optic sensing (DFOS) technology, including distributed t...
Authors
Jurick, D. et al Neubrex Energy Services (US), LLC
geothermalenergyfiber opticstraintemperaturerfs dssbrillouinramanabsolute straincirculation testaugust 2024neubrexneubrex energy servicesflowbackcrosswell flowsingle mode fibermulti mode fiberdfoshdf516b78-3216a78-32depth calibrationcrosswell circulationutah forgeegsfiber optic sensingdtsdssbrillouin straincross-well circulation teststrain changestrain change ratestrain rate

Utah FORGE: Neubrex DTS Fiber Optic Temperature Data from Well 16B(78)-32 August 2025 Circulation and Huff-and-Puff Tests

Mar 28, 2026
447.3 MB
Publicly accessible
This dataset contains processed Neubrex Distributed Temperature Sensing data acquired in well 16B(78)-32 at the Utah FORGE site during August 2025 field operations. The data were collected during cross-well circulation testing from well 16A to well 16B and subsequent huff-and-puff...
Authors
Jurick, D. et al Neubrex Energy Services (US), LLC
geothermalenergytemperaturedtsthermalgradientfiber opticscoiled tubingutah forgeegsneubrexdistributed temperature sensingfiber optic sensingcailbrated temperaturehdf5prodml16b78-32circulation testhuff and puffprocessed data

Utah FORGE: Optimization of a Plug-and-Perf Stimulation (Fervo Energy)

Feb 08, 2023
6.91 MB
Publicly accessible
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...
Authors
Norbeck, J. et al Fervo Energy
geothermalenergyutah forgeplug-and-perf stimulationwell stimulationfervo energyplug-and-perfplug and perffervotechnicalassessmentfeasibilityhydraulicstimulationinjection testprocessed datablue mountainnevadaegswell 73-22well 34a-22well 34-22near-field egshorizontal drillingproppantheat in placestate of stressfiber optic sensing

Utah FORGE: Neubrex RFS DSS Fiber Optic Strain Data from Well 16B(78)-32 August 2025 Circulation and Huff-and-Puff Tests

Mar 26, 2026
10.33 GB
Publicly accessible
This dataset contains processed Neubrex Rayleigh Frequency Shift Distributed Strain Sensing data acquired in well 16B(78)-32 at the Utah FORGE site during August 2025 field operations. The data were collected during cross-well circulation testing from well 16A to well 16B and subs...
Authors
Guzik, A. et al Neubrex Energy Services (US), LLC
geothermalenergyfiber opticsstraindtsdastemperatureacousticshuffpuffcirculationcoiled tubingsingle modemulti modegaugeutah forgeegsneubrexrayleigh frequency shiftrfsdistributed strain sensingdssfiber optic sensingprocessed dataprodmlhdf5strain changestrain change rate16b78-32circulation testhuff and puffgeophysics

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

May 31, 2019
4.48 MB
Publicly accessible
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...
Authors
McLing, T. et al Idaho National Laboratory
energy storagegeothermal energythermal energy storagegeotestestemperatureporositymodelingsteamrankine cycleflue gasheatrecoverythermalhydrologylinear stabilitydirect usegoethermalbrinegrid stabilizationinjection testweber formationweber sandstonertes

Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs Results

Oct 20, 2021
6.41 MB
Publicly accessible
Geothermal power plants typically show decreasing heat and power production rates over time. Mitigation strategies include optimizing the management of existing wells increasing or decreasing the fluid flow rates across the wells and drilling new wells at appropriate locations. Th...
Authors
Beckers, K. et al National Renewable Energy Laboratory
geothermalenergymachine learningmlsubsurfacecharacterizationbrady hot springsbhspredictionreservoir modelingtime seriespcaprincipal component analysisreservoir managementreservoirdual-porositystimulationinjection testpdetemperatureflowpressuresimulationsingle-fracturedoubletheat maptensorflowcnnlstmmlphydrothermalopen source reservoirosrnevada

EGS Collab: Modeling and Simulation Working Group Teleconference Series (1-98)

Feb 04, 2020
11.93 GB
Publicly accessible
This submission contains the presentation slides and recordings from the first 98 EGS Collab Modeling and Simulation Working Group teleconferences. These teleconferences served three objectives for the project: 1) share simulation results, 2) communicate field activities and resul...
Authors
White, M. et al Pacific Northwest National Laboratory
geothermalenergyegs collabsurfhydraulicfracturingstimulationsanford underground research facilityexperimentegsmodelingtemperatureheat flowdtstracerpressureinjection testflowc-dots
Google Map
  • About the GDR
  • Partners & Sponsors
  • Disclaimers
  • Developer Services
  • The GDR provides free access to data generated from projects funded by the U.S. Department of Energy's Office of Geothermal.
  • Content is available under Creative Commons Attribution 4.0 unless otherwise noted.

Privacy Policy Notification

This site uses cookies to store and share user preferences with other OpenEI sites, and uses Google Analytics to collect anonymous user information such as which pages are visited, for how often, and what searches or other webpages may have led users here. You can prevent Google Analytics from recognizing you on return visits to this site by disabling cookies on your browser or by installing a Google Analytics Opt-out Browser Add-on. By clicking "Accept" you agree this site can store cookies on your device and disclose information to OpenEI and Google Analytics in accordance with our privacy policy.

OpenEI Privacy Policy Google Analytics Terms of Service