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 - 8 of 8.
Show results per page.
Order by:
Available Now:
Filters Clear All Filters ×
Topic
Technologies
Demonstration Sites
Data Type
"campus master plan"×
Flow and Circulation Tests×

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

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

Utah FORGE: Well 82-33 Logs and Data, Roosevelt Hot Spring Area

Mar 03, 2016
74.2 MB
Publicly accessible
This is a compilation of logs and data from Well 82-33 in the Roosevelt Hot Springs area in Utah. This well is also in the Utah FORGE study area. The file is in a compressed .zip format and there is a data inventory table (Excel spreadsheet) in the root folder that is a guide to t...
Authors
Moore, J. Energy and Geoscience Institute at the University of Utah
geothermalforgeegsutah forgeutah egsroosevelt hot springgeothermal well logswell logsutah well logsgeothermal wellsutah geothermal wellsroosevel hot springbottom hole pressurecasing schematiccleanoutsdirctional surveygeochemistrygeology loginjection cpaacitymorning reportsplan of operationsspinner surveyinjection testwater analysiswater chemistrycompensated soniccalipercement bondcollar logcompensated neutronformation densitydifferential temperaturegamma raymud loginductionpressure surveytemperature surveywell logwell data82-33utahresourcecharacterizationmilfordroosevelt hot springs

Utah FORGE: Well 16A(78)-32 Planned Trajectory

Mar 24, 2020
3.58 kB
Publicly accessible
This submission includes an Excel spreadsheet containing the Utah FORGE deep well 16A(78)-32 planned trajectory including UTM coordinates, elevations, and depths from the well head to the toe. This proposed new injection well is expected to descend vertically to a depth of approxi...
Authors
Podgorney, R. and Nash, G. Idaho National Laboratory
geothermalenergywell 16a78-32utah forgeforgewell 16a78-32 trajectory16a78-32 well planwell datatrajectoryegsgeospatial dataplanneddepthlocationwell location16a78-32injectioninjection test

Newberry EGS Demonstration: Well 55-29 Stimulation Data 2014

Sep 03, 2015
308.58 MB
Publicly accessible
The Newberry Volcano EGS Demonstration in central Oregon, a 5 year project begun in 2010, tests recent technological advances designed to reduce the cost of power generated by EGS in a hot, dry well (NWG 55-29) drilled in 2008. First, the stimulation pumps used were designed to ru...
Authors
Cladhouhos, T. et al AltaRock Energy Inc
geothermalegsdiverter materialmicroseismic monitoringtemperature monitoringgroundwater monitoringstimulation datanewberrywell datainjectivitypts datadaily reportoperations summarytemperature at depthwell head pressuredtstemperaturedepthprofileflow testwhtwhpflow rateflow datapressure databackflow reportgeochemistrygroundwatergas chemistryfield temperatureplhsnewwpad-16pad-29nn-17nn-18ground watersurface waterelhspcgvcpad 16pad 29publicationsgrcstimulationresultspaperdemonstrationproduction wellaltarocksgwstanfordpresentationvolcano2014newberry volcanoenhanced geothermal systemtoughreactthermalhydrologicalmechanicalchemicalpressure fall-offdownhole pressure55-29ptspresssurespinnersurveychartgraphreportdatamonitoring dataseismic dataseismicinduced seismisityanalysisfinal reportfoulger consultinginjectioninduced seismicitymitigationplanaddendumeventlocationsistirawclusteredoutputpnsnwell constructionwellboreschematiccasinghole depthsultrasonicflowratemanual readingsweir boxmeqmicroseismicity

GEOPHIRES Simulations for Deep Direct Use (DDU) Projects

Jun 30, 2020
186.36 kB
Publicly accessible
This folder contains the GEOPHIRES codes and input files for running the base case scenarios for the six deep direct-use (DDU) projects. The six DDU projects took place during 2017-2020 and were funded by the U.S. Department of Energy Geothermal Technologies Office. They investiga...
Authors
Beckers, K. National Renewable Energy Laboratory
geothermalenergyddugeophiresdeep direct uselcoheconomicsabsorption chillersubsurface storagetechno-economiclevelized cost of heatwellboreexperimentcostsimulationmodelingreservoirtemperaturetechnologyabsorptionportland basinillinois basinwvuwest virginia universitywest virginiaportlandoregonchampagne-urbanaillinoisuniversity of illinoisurbana-champaignchampaign-urbanacornellhawthornenevadaporosityflowthermal conductivityinjection testdrillingwell data

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

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