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
"supercritical wells"×
Video×

Utah FORGE 1-2409: PetroQuip Energy Services Zonal Isolation Solution for Geothermal Wells 2024 Annual Workshop Presentation

Sep 04, 2024
112.18 MB
Publicly accessible
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...
Authors
Coon, R. and Long, R. Energy and Geoscience Institute at the University of Utah
geothermalenergypetroquiputahforgeopen-hole-packerlocking bridge pluglocating profilelpohplbpdrillinggeothermal drillingegs drillingegsvideopresentation

Utah FORGE 1-2409: Zonal Isolation Solution for Geothermal Wells 2023 Annual Workshop Presentation

Sep 08, 2023
145.74 MB
Publicly accessible
This is a presentation on the Zonal Isolation Solution for Geothermal Wells project by PetroQuip Energy Services, presented by VP of operations Robert Coon. The project's objective was to design and develop a multi-stage system for zonally isolating fluids inside and outside of g...
Authors
Coon, R. et al PetroQuip Energy Services
geothermalenergyannual workshop2023well casingzonal isolationutah forgeopen-hole packerlocking bridge pluglocating profilebridge plugfluid isolationdrillingcasingegs

Utah FORGE 3-2418: Wellbore Fracture Imaging Using Inflow Detection 2024 Annual Workshop Presentation

Sep 13, 2024
69.4 MB
Publicly accessible
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 ...
Authors
Horne, R. and Schneider, M. Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forgestanford universitystanfordstimulationfracturesfracingsewer camflow magnitudeschloridechloride concentrationion concetrationfracture networkpresentationvideoegs

Utah FORGE 1-2551: Final Report and Presentation on Development of Multi-Stage Fracturing System and Wellbore Tractor to Enable Zonal Isolation During Stimulation and EGS Operations in Horizontal Wellbores

Jul 08, 2025
143.48 MB
Publicly accessible
This dataset contains the final technical report for the CSM project, conducted by the Colorado School of Mines and project partners to address materials and wellbore challenges in high-temperature geothermal environments. The report documents research activities carried out to de...
Authors
Fleckenstein, W. Colorado School of Mines
geothermalenergyutah forgeegsfrac sleevesseal dragcollet test fixturessleeve actuationeconomic modeldifferential pressuretechnical reportwellbore isolationmultistage fracturestimulation technologyflow controlheat recovery

Utah FORGE 3-2418: Wellbore Fracture Imaging Using Inflow Detection Measurements 2023 Annual Workshop Presentation

Sep 08, 2023
75.16 MB
Publicly accessible
This is a presentation on the Wellbore Fracture Imaging Using Inflow Detection Measurements project by Stanford University, presented by Dr. Roland N. Horne. The project's objective was to make measurements in the Utah FORGE wells, both before and after fracturing experiments, to...
Authors
Horne, R. and Su, J. Stanford University
geothermalenergyannual workshop2023utah forgeegsgeochemistrychloridefracture mappingflow monitoringreservoir characterizationion-specific electrodereservoir performanceconnectivityinflow detectionfracture imaging

Utah FORGE 4-2492: Final Report and Presentation on Innovative Stimulation Design and Fiber-Optic Diagnostics to Maximize Energy Recovery Efficiency

Dec 31, 2025
285.14 MB
Publicly accessible
This dataset contains the final technical report and closeout presentation for Utah FORGE Project 4-2492, which investigated advanced stimulation design and diagnostic approaches to improve fracture uniformity, inter-well connectivity, and energy recovery efficiency in enhanced ge...
Authors
Sharma, M. The University of Texas at Austin
geothermalenergyutah forgeegsstimulation designfracture uniformitywell connectivityenergy recovery efficiencytechnical reportstimulationcirculation test16a16bdistributed fiber-optic sensingdtsdasdistributed strainnumerical modelingfracture growthfmitracerfracture geometrygeomechanicsgeophysics

Utah FORGE 4-2492: Design and Implementation of Innovative Stimulation Treatments to Maximize Energy Recovery 2025 Workshop Presentation

Sep 18, 2025
274.17 MB
Publicly accessible
This is a presentation and materials on the Design and Implementation of Innovative Stimulation Treatments to Maximize Energy Recovery Efficiency at the Utah FORGE Site project by The University of Texas at Austin, presented by Professor Mukul M. Sharma. The project's objectives w...
Authors
Sharma, M. The University of Texas at Austin
geothermalenergyutah forgeegs2025 annual workshophydraulic fracturingstimulation designfracture networkcluster efficiencyreservoir connectivitygeothermal energyhorizontal wellsfracture optimizationpresentationpresentation recordingpresentation slidesreport

GOOML Kahunanui Data Curation, Historical Modeling, Forecast Modeling, and Genetic Optimization Examples

Jan 30, 2023
725.34 MB
Awaiting release
This dataset contains example files and Jupyter Notebooks associated with the Geothermal Operational Optimization using Machine Learning (GOOML) framework, specifically for the fictional Kahunanui (KHN) geothermal power plant. The dataset includes synthetic time series data, confi...
Authors
Taverna, N. et al Upflow
geothermalenergymachine learninggoomlpower plantoptimizationgenetic optimizationregressionneural networkoperationssynthetic datakahunanuiforecasthindcastdata curationinputsoutputsconfigurationexamplephygnnphysics guided neural networkssteamfieldsteam fieldwellsflash plantsprocessed datapythonjupyter notebookmodelmodelingcode

Silver Peak Innovative Exploration Project (Ram Power Inc.)

Jan 01, 2010
463.6 MB
Publicly accessible
Data generated from the Silver Peak Innovative Exploration Project, in Esmeralda County, Nevada, encompasses a deep-circulation (amagmatic) meteoric-geothermal system circulating beneath basin-fill sediments locally blanketed with travertine in western Clayton Valley (lithium-rich...
Authors
Miller, C. Ram Power, Inc.
geothermalsilver peakgravitymagneticmtradiometricsregional temperatureremote sensingresource modelseismicfluid datawell dataphotosgeologywalker lanelate miocenepliocenelone mountainesmeralda countynevadagravity surveygridterrain5km10kmupward continued regional residualbougerhorizontal gravity gradientnorth americaimperial countymagnetic reporttmiigrftotal magentic intensitymagnetotelluric surveymt surveyresistivity3dground mtztemradiometric survey silver peak20102011temperatureshallow temperature gradienttemperature gradient holestghasterphotographs2dseismic reflection surveyfaultsmesquitefluidchemistrygeologymapgeospatial data
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