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 76 - 84 of 84.
Show results per page.
Order by:
Available Now:
Filters Clear All Filters ×
Topic
Technologies
Demonstration Sites
Data Type
"soda springs"×
Utah FORGE, UT×

Utah FORGE: Earth Model Mesh Data for Selected Surfaces

Dec 07, 2018
20.83 MB
Publicly accessible
This submission contains a number of data files with vertices of meshed/interpolated surfaces used in the Phase 2B earth model. Examples include land surface (based on 10-meter DEM), the granitoid-basin fill contact, several faults, and also interpolated temperature isosurfaces f...
Authors
Podgorney, R. Idaho National Laboratory
geothermalenergystudent competitionearth modelforgeroosevelt hot springsutahdemdigital elevation modelgeospatial datacoordinateisosurfacefaultstructurestructuraldatalocationland surfacetemperatureopal moundnegro magegsmilfordenhanced geothermal systemutah forgemodelingmodellingmesh datagranitoidtoptopographygeologybasin fillresourcecharacterizationprocessed data

Utah FORGE: Seismic Velocity Models, February 2021

Feb 28, 2021
10.92 MB
Publicly accessible
This dataset contains a map, showing the Utah FORGE seismic stations, and seismic velocity model data. There are 61 1-D velocity models which are in a compressed TAR file. A paper is referenced at the end of this description which discusses the use of these data in 3D modelling. T...
Authors
Pankow, K. Energy and Geoscience Institute at the University of Utah
geothermalenergyseismic data1d seismic velocityseismic velocityutah forgeforgeutah geothermalvelocity modelsseismicvelocityspacspatial auto-correlationpseudo-3dgeophonebayesian monte carlo inversionmodelingmodeldistributed acoustic sensinggeospatial datasedimentary basinwaveform inversionseismic noisegeophysicstaregsroosevelt hot springsutahmilford

Utah FORGE: Southwestern Utah Magnetotelluric (MT) Data

Jan 22, 2024
234.04 MB
Publicly accessible
This comprehensive magnetotellurics (MT) dataset, which covers southwestern Utah, integrates 600 sites from various surveys, including those from the Utah FORGE, SubTER, and Play Fairway projects, all of which are linked below. The core of this dataset is the use of a 3D finite el...
Authors
Wannamaker, P. and Marris, V. Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forgemtmagnetotelluricresistivitysouthwestern utahplay fairwaygeophysical datafinite elementfeafemgravitymagneticsseismicgeodesyegsroosevelt hot springsmilfordsite characterizationforge mtplay fairway analysisforgesubter

Utah FORGE: Temperature Contours at 200 m

Feb 01, 2016
19.09 kB
Publicly accessible
The individual shapefiles in this dataset delineate estimated temperature contours (20, 40, 60, and 80 deg C) at a depth of 200 m in the Milford, Utah FORGE area. Contours were derived from 86 geothermal, gradient, and other wells drilled in the area since the mid-1970s with dept...
Authors
Moore, J. Energy and Geoscience Institute at the University of Utah
geothermalmilfordforgeutahegstemperature200 mcontour20406080shapefileshape filearcgisgisgeospatial datautah forgeresourcecharacterizationroosevelt hot springscontoursprocessed datamineral mountainscove fortwell data

Utah FORGE: Well Data for Student Competition

Dec 07, 2018
33.96 MB
Publicly accessible
Well 58-32 (previously labeled MU-ESW1) was drilled near Milford Utah during Phase 2B of the FORGE Project to confirm geothermal reservoir characteristics met requirements for the final FORGE site. Well Accord-1 was drilled decades ago for geothermal exploration purposes. While ...
Authors
Podgorney, R. et al Idaho National Laboratory
geothermalenergyforgestudent competition58-32accord-1egsroosevelt hot springsmilfordutahreservoir characteristicswell loggeophysicalgeophysicslithologythermal conductivityx-ray diffractionwell surveysonicwell locationsdensitycaliperhole diametergammagrradiationresistivityneutronporositysptemperatureconductivityspecific potentialmu-esw1welldatawell dataresourcecharacterizationexplorationutah forge

Utah FORGE: Milford Triaxial Test Data and Summary from EGI labs

Mar 01, 2016
102.63 MB
Publicly accessible
Six samples were evaluated in unconfined and triaxial compression, their data are included in separate excel spreadsheets, and summarized in the word document. Three samples were plugged along the axis of the core (presumed to be nominally vertical) and three samples were plugged ...
Authors
Moore, J. Energy and Geoscience Institute at the University of Utah
geothermaltriaxialtestingegiforgeegsfracturestresscompressionpermeabilityutahmilfordtesthorizontalmooregnssampledataverticalgeomechanicsgeomechanicalutah forgecorestraincore dataresourcecharacterizationwell dataroosevelt hot springs52-21

Utah FORGE: Well 58-32 Stimulation Data

Apr 20, 2019
61.5 MB
Publicly accessible
Pressure, temperature, and flow data from open-hole, upper perforation, and lower perforation well stimulations gathered from various tools collected at well 58-32 during phase 2C.
Authors
Best, S. Geothermal Resource Group
geothermalenergyforgeutahegsmilfordroosevelt hot springspasonsurface instrumentsstimulationpressuretemperatureisolate pumpingflowbackspartek memory pt gaugememory tooldidrillgrggeothermal resource groupbridge plugbadgeropenhole stimulationdidrill survey servicesweatherford hdwell 58-32utah geothermalfracture flowreservoir stimulationhydraulic fracturingphase 2cratehydraulicflowraw dataopen-holeupper perforationlower perforationutah forge

Utah FORGE: Phase 3 Magnetotelluric (MT) Data

Oct 01, 2020
91.86 MB
Publicly accessible
New high-quality tensor MT data at 122 sites, including the vertical magnetic field and utilizing ultra-remote referencing, have been acquired over the Utah FORGE project area. The results will be used to delineate the densities of faults and fractures in crystalline basement rock...
Authors
Wannamaker, P. and Maris, V. Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forge mtmt datamagnetotelluric datautah forgeforgeutah geothermalgeophysical datafinite elementfeafemgeophysicsgravitymagneticsmagnetotelluricsseismicgeodesyegsroosevelt hot springsmilfordsite characterization

Utah FORGE: 2023 Large Upscaled Discrete Fracture Network Models

Oct 02, 2023
7.83 GB
Publicly accessible
This dataset includes the data and a report on the large upscaled discrete fracture network modeling done for the Utah FORGE project in 2023. The FORGE modeling team is making five discrete fracture network (DFN) realizations of a large reservoir model available to researchers. Th...
Authors
Finnila, A. Energy and Geoscience Institute at the University of Utah
geothermalenergydfnfracturesutah forgeegs fracture modelwspforgeegslarge upscaled dfnroosevelt hot springswell 16a78-32reservoir engineeringfracmanengineered geothermal systemsstimulationmodellingpermeabilityporosityreservoir modelingdiscrete fracture networkreservoir propertiesfracture modeling
<< Previous1234
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