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 - 7 of 7.
Show results per page.
Order by:
Available Now:
Filters Clear All Filters ×
Topic
Technologies
Demonstration Sites
Data Type
"produced waters"×
Flow and Circulation Tests×

Utah FORGE: Well 16A(78)-32/Well16B(78)-32 Circulation Test Data

Jul 19, 2023
102.13 MB
Publicly accessible
This dataset encompasses the collected data and associated reports from the low-rate injection circulation test conducted on wells 16A(78)-32 and 16B(78)-32 in July 2023 at Utah FORGE. It includes comprehensive raw circulation data, captured by Pason and Schlumberger (SLB). The da...
Authors
Mclennan, J. and Xing, P. Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forgewell 16b78-3216b78-3216bwell 16a78-3216a78-3216acirculation testcirculationinjectionlow-rate injectionpasonschlumbergerraw dataprocessed dataproduced fluidinjection pressureinjection rateslbegs

Utah FORGE: EGS Reservoir Produced Fluids Trace Elements 2024

May 21, 2025
11.36 kB
Publicly accessible
This dataset contains trace element concentrations from fluid samples collected during the August-September 2024 circulation test at Utah FORGE. Samples were taken from injection well 16A(78)-32, production well 16B(78)-32, and monitoring well 58-32 on four dates between August 16...
Authors
Simmons, S. Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forge16a78-3216b78-3258-32circulation testgeochemistryproduced fluidstrace elementsegsfluid chemistrywell samplinginjection wellproduction wellmonitoring wellunfiltered sampleselemental analysisgeothermal reservoirreservoir characterizationraw data

Utah FORGE: Geothermal Resource Assessment Report 2024

Jun 20, 2025
750.87 kB
Publicly accessible
This report provides a first-order assessment of the producible energy from the Utah FORGE EGS reservoir, based on stimulation and circulation testing in 2024. The assessment is based on a stored heat calculation for a cylindrical volume of stimulated hot dry rock enveloping the d...
Authors
Simmons, S. and Barker, B. Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forgegeothermal resource assessmentgeothermal resource assessment reportgeothermal energyhot dry rockegsstored heatresource assessmentrecovery factor16b78-32technical reportcirculation testpower productionanalytical solution

Environmental Impact Calculations for Geothermal DDU system on WVU Campus

Mar 18, 2020
43.3 kB
Publicly accessible
This dataset contains all the inputs used and output produced from Matlab for the environmental analysis of an improved hybrid geothermal district heating and cooling (GDHC) system with a heat pump, without a heat pump, and for a hot water GDHC. Detailed descriptions of the conten...
Authors
Garapati, N. et al West Virginia University
geothermalenergywest virginia universitynatural gas boilersenvironmentenvironmentalassessmentgdhcheat pumphybridnatural gasmatlabhot waterdduwvucoalmodelingeainjection testflowco2

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

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 Experiment 1: Circulation Testing

Apr 01, 2019
965.21 MB
Publicly accessible
These data and test descriptions comprise a chilled circulation test conducted at the 164' fracture in the EGS Collab Experiment 1 testbed on the 4850 ft level of the Sanford Underground Research Facility. Descriptions of the meta data, design drawings for the flow testing system,...
Authors
Knox, H. et al Lawrence Berkeley National Laboratory
geothermalenergyegs collabsurfhydraulicfracturingstimulationsanford underground research facilityexperimentegsraw dataflowflow testingstim and flow systemfield testingwellinjectionproductionleadsouth dakota
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