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 - 16 of 16.
Show results per page.
Order by:
Available Now:
Filters Clear All Filters ×
Topic
Technologies
Demonstration Sites
Data Type
"geologic log"×
Reservoir Models×

Geocellular model of St. Peter Sandstone for University of Illinois at Urbana-Champaign DDU Feasibility Study

Dec 31, 2018
68.79 MB
Publicly accessible
The geocellular model of the St. Peter Sandstone was constructed for the University of Illinois at Urbana-Champaign DDU feasibility study. Starting with the initial area of review (18.0 km by 18.1 km [11.2 miles by 11.3 miles]) the boundaries of the model were trimmed down to 9.7 ...
Authors
Damico, J. University of Illinois
geothermalenergyst. peter sandstoneillinois basinddudeep direct-useuniversity of illinois at urbana-champaign3-dgeocellular modelingfeasibilitycharacterizationillinois3dstructuralgeologymodelreservoirgeologicthermalhydrologicmechanicalpropertiespetrophysicalthermal conductivityspecific heat capacityheat capacityporositydensitypermeabilitythicknessdepthmt simon

Geocellular Model of Mt. Simon Sandstone for University of Illinois at Urbana-Champaign DDU feasibility study

Dec 31, 2018
111.49 MB
Publicly accessible
The geocellular model of the Mt. Simon Sandstone was constructed for the University of Illinois at Urbana-Champaign DDU feasibility study. Starting with the initial area of review (18.0 km by 18.1 km [11.2 miles by 11.3 miles]) the boundaries of the model were trimmed down to 9.7 ...
Authors
Damico, J. University of Illinois
geothermalenergygeocellular modelingmt. simon sandstoneillinois basinddudeep direct-use3-duniversity of illinois at urbana champaignfeasibilitycharacterizationillinoisstructuralgeologygeologicmodeldensityporositypermeabilitythermal conductivityheat capacitythicknessdepthst. peterthermalhydrologicmechanicalpetrophisicalproperties3dreservoir

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

Utah FORGE: Leapfrog 3D Geologic Movie

May 18, 2018
Size unavailable
Publicly accessible
This is a 3D geological movie of the Utah FORGE area created with Leapfrog Geothermal 3D modelling software. The movie shows the Utah FORGE site, wells, seismic and lithologic cross-sections, and rock unit tops. This illustrates the thick crystalline granitoid EGS reservoir.
Authors
Podgorney, R. Energy and Geoscience Institute at the University of Utah
geothermalenergy3d geologyutah forgeutahroosevelt hot springsgeologic movieleapfrog movieforgeegsmodelgeologicleapfrogwellsseismiccross sectionformation topsgeologystructuralmodeling3dmoviemilfordreservoirgranitoidcrystalline

Active Management of Integrated Geothermal-CO2 Storage Reservoirs in Sedimentary Formations: Data used in Geosphere Journal Article

Jun 01, 2015
510.68 MB
Publicly accessible
This data submission is for Phase 2 of Active Management of Integrated Geothermal-CO2 Storage Reservoirs in Sedimentary Formations, which focuses on multi-fluid (CO2 and brine) geothermal energy production and diurnal bulk energy storage in geologic settings that are suitable for ...
Authors
A., T. Lawrence Livermore National Laboratory
geothermalgeologic co2 storagepressure managementpressure supportworking fluidheat extractionsedimentary formationsreservoir simulationgetemtechno-economic analysisanalysistechno-ecomomicslcoelevelized cost of energyenvironmentalimpactassessmentrisk

Hawthorne Nevada Deep Direct-Use Feasibility Study Geology

Mar 29, 2018
1.87 GB
Publicly accessible
The objective of this project is to use a multi-disciplinary, three-tiered approach to assess the geothermal resource and determine the feasibility of implementing a large-scale, direct-use facility for the Hawthorne Army Depot (HAD) and the various town and county facilities in H...
Authors
Lowry, T. and Oldow, J. Nevada Bureau of Mines and Geology
geothermalenergynevadadirect usedeep direct usewellsgeochemistrygeophysicsreservoir modelingquaternary faultshawthorne army weapons depotdduhawthornegeospatial data

Subsurface Geological Information and Models in support of Feasibility Study of Direct District Heating for the Cornell Campus Utilizing Deep Geothermal Energy

Oct 27, 2019
3.29 MB
Publicly accessible
This purpose of this set of entries is to group together the materials and analytical methods used in the assessment of the natural rock properties within and surrounding two potential reservoirs.
Authors
Jordan, T. et al Cornell University
geothermalenergycornell universitylow-temperature geothermalreservoir simulationuncertainty analysisdistrict heatingdirect useappalachian basinnew york statetechno-economic analysislevelized cost of heat lcohexternality valuesenvironmental valueeconomic valueddueaenvironmentenvironmentalassessmenttemperaturelcohlevelized cost of heateffective porosityheat pumpghpwell datacharacterizationshale neutron porositycornell

Hawthorne Nevada Deep Direct-Use Feasibility Study 3D Geologic Model

Mar 29, 2018
1.2 MB
Publicly accessible
The objective of this project is to use a multi-disciplinary, three-tiered approach to assess the geothermal resource and determine the feasibility of implementing a large-scale, direct-use facility for the Hawthorne Army Depot (HAD) and the various town and county facilities in H...
Authors
Lowry, T. Nevada Bureau of Mines and Geology
geothermalenergynevadadirect usedeep direct usewellsgeochemistrygeophysicsreservoir modelingquaternary faultshawthorne army weapons depotgeologyfault modellingstressshearslip and dilationdilation tendencyslip tendency3d3-ddduhawthorne

Dynamic Earth Energy Storage: Terawatt-year, Grid-scale Energy Storage Using Planet Earth as a Thermal Battery (GeoTES): Phase I Project Final Report

Sep 02, 2022
18.25 MB
Publicly accessible
Final report for the DOE GTO funded research on geologic thermal energy storage (GeoTES), or commonly known as reservoir thermal energy storage (RTES). The results described in this report shed light on various aspects of RTES including project siting, operational performance, m...
Authors
Atkinson, T. et al Idaho National Laboratory
geothermalenergyrtesgeotesstoragethermalmodelingtoughmoosegeochemistrytesthermal energy storageearth energy storagegrid-scalegeologicreservoir

Hawthorne Nevada Deep Direct-Use Feasibility Study 3D Seismic

Mar 29, 2018
467.07 MB
Publicly accessible
The objective of this project is to use a multi-disciplinary, three-tiered approach to assess the geothermal resource and determine the feasibility of implementing a large-scale, direct-use facility for the Hawthorne Army Depot (HAD) and the various town and county facilities in H...
Authors
Lowry, T. et al Nevada Bureau of Mines and Geology
geothermalenergynevadadirect usedeep direct usewellsgeochemistrygeophysicsreservoir modelingquaternary faultshawthorne army weapons depotdduopendtectpstmprestack time migrationfault interpretationhawthornegeospatial data

Fallon FORGE: Distinct Element Reservoir Modeling

Mar 12, 2018
57.97 MB
Publicly accessible
Archive containing input/output data for distinct element reservoir modeling for Fallon FORGE. Models created using 3DEC, InSite, and in-house Python algorithms (ITASCA). List of archived files follows; please see 'Modeling Metadata.pdf' (included as a resource below) for addition...
Authors
Blankenship, D. et al Sandia National Laboratories
geothermalenergyegsforgefallonnevadastresshydro-shearinghydraulic fracturesgeomechanicsthermalmicroseismicitygeometrycirculationstimulationreservoir modelvetted-nopython codescriptmicroseimicwell trajectoriesfracture aperturehydroshearingstereonet plotspercent fracture slip vs pressureinjectionstressesdfngeologic structurejoint networkleakoff ratioshear stimulatedshear displacementnormal displacementopenholecasedthermal drawdownseismicitywell locationsreservoir mappingmiocroearthquakesmeqthermal modelingfracture tendancymicroseismicanalysisanalysesmodellingmodelreservoir

Hawthorne Nevada Deep Direct-Use Feasibility Study Navy Geothermal Program Office General Data

Mar 29, 2018
693.88 MB
Publicly accessible
The objective of this project is to use a multi-disciplinary, three-tiered approach to assess the geothermal resource and determine the feasibility of implementing a large-scale, direct-use facility for the Hawthorne Army Depot (HAD) and the various town and county facilities in H...
Authors
Lowry, T. Nevada Bureau of Mines and Geology
geothermalenergynevadadirect usedeep direct usewellsgeochemistrygeophysicsreservoir modelingquaternary faultshawthorne army weapons depotdduhawthorne

Geothermal Reservoir Simulation Results in support of Feasibility Study of Direct District Heating for the Cornell Campus Utilizing Deep Geothermal Energy

Oct 29, 2019
1.62 GB
Publicly accessible
This dataset contains input data, code, ReadMe files, output data, and figures that summarize the results of a stochastic analysis of geothermal reservoir production from two potential geothermal reservoirs that were evaluated for the Cornell University Deep Direct-Use project. Th...
Authors
Smith, J. and Beckers, K. Cornell University
geothermalenergycornell universitylow-temperature geothermalreservoir simulationuncertainty analysistechno-economic analysisdirect-use heatingdistrict heatingnew york stateheat pumpslevelized cost of heat lcohexternality valuesenvironmental valueeconomic valuedirect usedducornelltrenton-black rivertough2petrasimmonte carlo analysismonte carlogeophiresstochastic analysis

Final Report Earth Source Heat: A Cascaded Systems Approach to DDU of Geothermal Energy on the Cornell Campus

Oct 27, 2019
4.08 MB
Publicly accessible
The purpose of this document is to describe the contents contained within Geothermal Data Repository (GDR) node of the National Geothermal Data System (NGDS) that serves as the final report for the project "Earth Source Heat: A Cascaded Systems Approach to DDU of Geothermal Energy...
Authors
Tester, J. et al Cornell University
geothermalenergycornell universitydistrict heatingdirect-use heatingappalachian basinnew york statelow-temperature geothermalreservoir simulationtechno-economic analysisuncertainty analysisexternality valuesenvironmental valueeconomic valuedirect useddulevelized cost of heatlcoheconomiceaheat pumpghptemperatureearth source heatsubsurface data

Sedimentary Geothermal Feasibility in Nevada, Western Utah, Colorado, and the Gulf Coast Region of Texas Final Report

Jul 01, 2020
Size unavailable
Publicly accessible
The objectives of this project were to (1) perform a literature review of sedimentary geothermal resources, (2) identify data sources and develop data-collection methodologies that characterize selected resources, (3) screen sedimentary basins and formations for sedimentary geothe...
Authors
Johnston, H. et al National Renewable Energy Laboratory
geothermalenergysedimentaryfeasibilitysedimentary basinelko basinrailroad valleysteptoe valleypavant buttedenver basinpiceance basinraton basingulf coast regionnevadautahtexasgbcaasgreat basin carbonate and alluvial aquifer systemcarbonateagsadvanced geothermal systembottom-hole temperaturewell datalcoeeconomicsupperlowercarbonate aquifer unitegsenhanced geothermal systemplay fairway analysiscoloradotemperaturebottom-holemarys river basindrillingpermeabilityreservoirmodelingcarbonate geothermal systemcgstechno-economicanalysisdownselectsubsurfacedata mininggeologygradientheatflowgeophysicsseismicclosed-loophydrogeologycoststructuralbedrockmapaquifersedgeo

Appalachian Basin Temperature-Depth Maps and Structured Data in support of Feasibility Study of Direct District Heating for the Cornell Campus Utilizing Deep Geothermal Energy

Oct 29, 2019
229.82 MB
Publicly accessible
This dataset contains shapefiles and rasters that summarize the results of a stochastic analysis of temperatures at depth in the Appalachian Basin states of New York, Pennsylvania, and West Virginia. This analysis provides an update to the temperature-at-depth maps provided in the...
Authors
Smith, J. Cornell University
geothermalenergycornell universitylow-temperature geothermalreservoir simulationuncertainty analysisthermal datadistrict heatingdirect-use heatingdduappalachian basinnew york statetechno-economic analysislevelized cost of heat lcohexternality valuesenvironmental valuemonte carlo analysismonte carloeconomiceaheat pumpghpshapefilerastercornellgeospatial 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