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 - 25 of 76.
Show results per page.
Order by:
Available Now:
Filters Clear All Filters ×
Topic
Technologies
Demonstration Sites
Data Type
"output files"×
Other×

Active Management of Integrated Geothermal-CO2 Storage Reservoirs in Sedimentary Formations

Jan 01, 2012
1.27 GB
Publicly accessible
The purpose of phase 1 is to determine the feasibility of integrating geologic CO2 storage (GCS) with geothermal energy production. Phase 1 includes reservoir analyses to determine injector/producer well schemes that balance the generation of economically useful flow rates at the ...
Authors
A., T. Lawrence Livermore National Laboratory
geothermalgeologic co2 storageco2 injectionpressure managmentpressure supportartesian well flowheat extractionco2 cutpressure management

Active Management of Integrated Geothermal-CO2 Storage Reservoirs in Sedimentary Formations

Jan 01, 2012
475.12 MB
Publicly accessible
Active Management of Integrated Geothermal-CO2 Storage Reservoirs in Sedimentary Formations: An Approach to Improve Energy Recovery and Mitigate Risk : FY1 Final Report The purpose of phase 1 is to determine the feasibility of integrating geologic CO2 storage (GCS) with geothermal...
Authors
A., T. Lawrence Livermore National Laboratory
geothermalgeologic co2 storageco2 injectionheat extractionpressure managmentpressure supportartesian well flowco2 cutsedimentarypressure managementworking fluid

Active Management of Integrated Geothermal-CO2 Storage Reservoirs in Sedimentary Formations

Jan 01, 2012
979.58 MB
Publicly accessible
Active Management of Integrated Geothermal-CO2 Storage Reservoirs in Sedimentary Formations: An Approach to Improve Energy Recovery and Mitigate Risk : FY1 Final Report The purpose of phase 1 is to determine the feasibility of integrating geologic CO2 storage (GCS) with geothermal...
Authors
A., T. Lawrence Livermore National Laboratory
geothermalgeologic co2 storagepressure managementpressure supportco2 injectionartesian well flowheat extractionco2 cutsedimentarybrine reinjection

Active Management of Integrated Geothermal-CO2 Storage Reservoirs in Sedimentary Formations

Jan 01, 2000
609.93 MB
Publicly accessible
Active Management of Integrated Geothermal-CO2 Storage Reservoirs in Sedimentary Formations: An Approach to Improve Energy Recovery and Mitigate Risk: FY1 Final Report The purpose of phase 1 is to determine the feasibility of integrating geologic CO2 storage (GCS) with geothermal...
Authors
A., T. Lawrence Livermore National Laboratory
geothermalgeologic co2 storageheat extractionpressure managementpressure supportartesian well flowco2 cutworking fluidco2 injection

Simulations of Brady's-Type Fault Undergoing CO2 Push-Pull: Pressure-Transient and Sensitivity Analysis

Mar 09, 2018
9.74 MB
Publicly accessible
Input and output files used for fault characterization through numerical simulation using iTOUGH2. The synthetic data for the push period are generated by running a forward simulation (input parameters are provided in iTOUGH2 Brady GF6 Input Parameters.txt [InvExt6i.txt]). In gene...
Authors
Jung, Y. and Doughty, C. Lawrence Berkeley National Laboratory
geothermalenergyegsco2carbon dioxidepush-pullpressure-transient testingitough2sensitivity analysisinverse modelingparameter estimationinconpesttough2fault modelinggf6bradyfaultingfaultfracturecharacterizationstimulation

GOOML Big Kahuna Forecast Modeling and Genetic Optimization Files

Jun 30, 2021
13.6 MB
Publicly accessible
This submission includes example files associated with the Geothermal Operational Optimization using Machine Learning (GOOML) Big Kahuna fictional power plant, which uses synthetic data to model a fictional power plant. A forecast was produced using the GOOML data model framework ...
Authors
Buster, G. et al Upflow
geothermalenergymachine learningoptimizationoperationssynthetic datapower plantbig kahunagoomlgenetic optimizationforecastinputsoutputsconfigurationexamplephygnnphysics guided neural networkssteamfieldsteam fieldwellsflash plantsneural networkdataprocessed datacodepythonsimulationmodel

Community Geothermal: Soil Conductivity, Borehole Design, Energy Models, and Load Data for a Residential System Development Hinesburg, VT

Aug 30, 2024
743.47 MB
Publicly accessible
This dataset contains materials from the Coalition for Community-Supported Affordable Geothermal Energy Systems (C2SAGES) project, which evaluated the techno-economic feasibility of a community geothermal system for a residential development in Hinesburg, VT. The dataset includes ...
Authors
Jogineedi, R. et al GTI Energy
geothermalenergycommunity geothermalgeothermal sizingborehole testinggeothermal heat pumpworkforce developmentbuilding energy modelingground heat exchangergeothermal network designcommunity engagementcommgeohinesburgvermontmodelicaenergyplusonepipepythonmodelingthermal conductivity testreportenergy modelborehole designhourly energy loadssizinggeothermal loop sizingsystem designdevelopment

Active Management of Integrated Geothermal-CO2 Storage Reservoirs in Sedimentary Formations

Jan 01, 2012
34.45 MB
Publicly accessible
Active Management of Integrated Geothermal-CO2 Storage Reservoirs in Sedimentary Formations: An Approach to Improve Energy Recovery and Mitigate Risk: FY1 Final Report The purpose of phase 1 is to determine the feasibility of integrating geologic CO2 storage (GCS) with geothermal ...
Authors
A., T. Lawrence Livermore National Laboratory
geothermalgeologic co2 storagepressure managementpressure supportworking fluidheat extractionco2 cutsedimentary

Transported Geothermal Energy Technoeconomic Screening Tool Calculation Engine

Sep 21, 2016
449.36 kB
Publicly accessible
This calculation engine estimates technoeconomic feasibility for transported geothermal energy projects. The TGE screening tool (geotool.exe) takes input from input file (input.txt), and list results into output file (output.txt). Both the input and ouput files are in the same f...
Authors
Liu, X. Oak Ridge National Laboratory
geothermaltranportedabsorptionlow temperaturetransported

Thermal-Hydrological-Mechanical Modelling of Stockton University Reservoir Cooling System, Fine Scale Stress Test Modelling

Feb 22, 2021
132.27 MB
Publicly accessible
Mesh, properties, initial conditions, injection/withdrawal rates for modelling thermal, hydrological, and mechanical effects of fluid injection to and withdrawal from ground for Stockton University reservoir cooling system (aquifer storage cooling system), Galloway, New Jersey, fo...
Authors
Smith, J. et al Lawrence Berkeley National Laboratory
geothermalcoolingthermal-hydrological-mechanicalmodelingground sourcestress teststress modelingmodelstressinjectionwithdrawalfluidsimulationaquifer storage cooling systemreservoir cooling systemstockton universitynew jerseygeothermal coolingcfdflow simulationfea

Thermal-Hydrological-Mechanical Modelling of Stockton University Reservoir Cooling System, Large Scale Grid

Feb 26, 2021
248.07 MB
Publicly accessible
Mesh, properties, initial conditions, injection/withdrawal rates for modeling thermal, hydrological, and mechanical effects of fluid injection to and withdrawal from ground for Stockton University reservoir cooling system (aquifer storage cooling system), Galloway, New Jersey, on ...
Authors
Smith, J. et al Lawrence Berkeley National Laboratory
geothermalcoolingthermal-hydrological-mechanicalmodelingground sourcesimulationflowcfdflow simulationmodelreservoir coolinginjectionreservoir cooling systemaquifer storage cooling systemgroundground coolinggeothermal coolingreservoirnew jerseystockton universitywithdrawalfea

GeoThermalCloud: Cloud Fusion of Big Data and Multi-Physics Models using Machine Learning for Discovery, Exploration and Development of Hidden Geothermal Resources

Apr 04, 2022
1.04 GB
Publicly accessible
Geothermal exploration and production are challenging, expensive and risky. The GeoThermalCloud uses Machine Learning to predict the location of hidden geothermal resources. This submission includes a training dataset for the GeoThermalCloud neural network. Machine Learning for Di...
Authors
Ahmmed, B. Stanford University
geothermalenergymachine learningartificial intelligenceaiexplorationmodelmodelingprocessed datatraining datatraining datasetremote sensinghidden geothermal resourcesresource detectiondiscoverydevelopmentresourceneural networkprediction

GeoVision: Harnessing the Heat Beneath Our Feet Analysis Inputs and Results

Sep 30, 2019
29.51 MB
Publicly accessible
This submission includes input and results data from analysis done as part of the Geothermal Technology Office's Geothermal Vision Study (GeoVision). The submission includes data for both analysis of the electricity sector and the heating and cooling sector. For the electricity se...
Authors
Geothermal Technologies Office, U. National Renewable Energy Laboratory
geothermalenergygeovisionreeds modeldgeo modelfuture scenariosresource potentialcapacity expansionmodelingsystems analysisghpground source heat pumpgeothermal conductivitygeographic information systemgisgtcdistributed energy resourcesdersdistributed geothermal market demand modelnrelregional energy deployment systemrenewable analysiswater use analysissupply curve inputselectricity sectorair quality impactswater impacts

Natural Reservoir Analysis in Low-Temperature Geothermal Play Fairway Analysis for the Appalachian Basin

Oct 22, 2015
12.19 MB
Publicly accessible
The files included in this submission contain all data pertinent to the methods and results of this task's output, which is a cohesive multi-state map of all known potential geothermal reservoirs in our region, ranked by their potential favorability. Favorability is quantified usi...
Authors
Jordan, T. and Camp, E. Cornell University
geothermalappalachian basinnew yorkpennsylvaniawest virginiadistrict heatingdeep direct uselow-temperaturereservoirproductivityfavorabilityreservoir productivity indexrpigpfa-abgeothermal play fairway analysispfashapefilegisreservoirsgeospatial datacharacterizationarcgisqgisindexplay fairway analysislow temperature

Programs and Code for Geothermal Exploration Artificial Intelligence

Apr 27, 2021
710.72 kB
Publicly accessible
The scripts below are used to run the Geothermal Exploration Artificial Intelligence developed within the "Detection of Potential Geothermal Exploration Sites from Hyperspectral Images via Deep Learning" project. It includes all scripts for pre-processing and processing, including...
Authors
Moraga, J. Colorado School of Mines
geothermalenergycodershell scriptsgeothermal aimachine learningself organizing mapk-meanspythonaiartificial intelligencedeep learningexplorationgeothermal explorationremote sensingblindsite detectionlstland surface temperaturenumpyrastertensorflowk meananomaly detectionlandsat adr lstsbatchslurmshell

EGS Collab Experiment 2: Distributed Fiber Optic Temperature Data (DTS)

Nov 08, 2022
2.77 GB
Publicly accessible
The EGS Collab Experiment took place at the Sanford Underground Research Facility at the Homestake gold mine in Lead, SD, USA. Distributed fiber optic sensing temperature data is included in this dataset for this experiment. A single loop of custom fiber package was grouted into ...
Authors
Rodriguez Tribaldos, V. et al Lawrence Berkeley National Laboratory
geothermalenergyegs collabsurfhydraulicfracturingstimulationsanford underground research facilityexperimentegsdfosfiber opticxt-dtstemperaturedtsexperiment 2distributed sensingmonitoringcharacterization

GIS Resource Compilation Map Package Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada

Jun 01, 2021
831.16 MB
Publicly accessible
This submission contains an ESRI map package (.mpk) with an embedded geodatabase for GIS resources used or derived in the Nevada Machine Learning project, meant to accompany the final report. The package includes layer descriptions, layer grouping, and symbology. Layer groups incl...
Authors
Brown, S. et al Nevada Bureau of Mines and Geology
geothermalenergynevadamachine learningmap packagegispcanmfbnnannelmgeochemistrygeophysicsheat flowslip and dilationstructureplay fairwaypfaexplorationcharacterizationgreat basindlipdilationgeodatabasehydrothermaldatamodelsprocessed datapaleo-geothermal featurestest sittessupervisedunsupervisedcultural

Raw Neutron Scattering Data for Strain Measurement of Hydraulically Loaded Granite and Marble Samples in Triaxial Stress State

May 23, 2014
22.11 MB
Publicly accessible
This entry contains raw data files from experiments performed on the Vulcan beamline at the Spallation Neutron Source at Oak Ridge National Laboratory using a pressure cell. Cylindrical granite and marble samples were subjected to confining pressures of either 0 psi or approximate...
Authors
Polsky, Y. Oak Ridge National Laboratory
geothermalneutronstrainhydraulic fracturingegsdiffractiongranitemarbletriaxialhydraulic fracturestressneutron scatteringvulcan beamline

Lightning Dock Geothermal Field GIS Data

Aug 19, 2026
1.34 GB
Curated
This submission houses geospatial data for the Lightning Dock geothermal (LDG) field in the Animas Valley, Hidalgo County, south-western New Mexico. LDG is a liquid-dominated system produced for binary (ORC) power generation. In this submission shp and tif files are zipped with al...
Authors
Ifrene, G. et al Zanskar Geothermal
geothermalenergygeospatiallightning dockgiswaterchemistrywell datageologicaltemperaturegeophysicalaeromagneticgravitylidarfaults

Training dataset and results for geothermal exploration artificial intelligence, applied to Brady Hot Springs and Desert Peak

Sep 01, 2020
109.94 MB
Publicly accessible
The submission includes the labeled datasets, as ESRI Grid files (.gri, .grd) used for training and classification results for our machine leaning model: brady_som_output.gri, brady_som_output.grd, brady_som_output.* desert_som_output.gri, desert_som_output.grd, desert_som_outpu...
Authors
Moraga, J. et al Colorado School of Mines
geothermalenergygeothermal explorationhydrothermal mineral alterationsland surface temperaturefault densitypsinsarsubsidenceupliftbrady hot springsdesert peaknevadaconvolutional neural networkfallonmachine learningmodelhydrothermalmineraltemperaturerastergeospatial datageotifftraining datatraining dataset

Granite Springs Valley, Nevada Play Fairway Analysis Well data and Temperature Survey

Sep 14, 2017
12.18 MB
Publicly accessible
This data is associated with the Nevada Play Fairway project and includes excel files containing raw 2-meter temperature data and corrections. GIS shapefiles and layer files contain ing location and attribute information for the data are included. Well data includes both deep and ...
Authors
Faulds, J. Nevada Bureau of Mines and Geology
geothermalenergy2 meter temperature datanevadagranite springs valleyshapefilearcgisshape filelayer filelayerfilegisgeospatial datashallow temperature surveywell datageochemistryrock chemistrynv great basin

Community Geothermal: Energy, Cost, and Carbon Modeling for District Design Ann Arbor, MI

Jan 01, 2024
410.48 MB
Publicly accessible
This data includes results on an analysis of existing and projected energy, cost, and carbon for the City of Ann Arbor District Geothermal Design and Deployment to Equitably Decarbonize Low Income Neighborhoods in Ann Arbor project. The scope of the project includes designing and ...
Authors
Lee, J. and McMillen, A. IMEG Corp
geothermalenergyenergy plusdesign buildermichigancommunity geothermaldistrict geothermalcommgeoann arborheating and coolingenergy loadenergy modelcostcarbonbenchmarkingprocessed dataload timeseriesmodelresstockeconomicenvironmentalassessmentenergy auditbuilding modelingdevelopment

Utah FORGE: Green's Functions and Station Response Files for Moment Tensor Analysis

Oct 07, 2026
5.54 GB
In curation
This submission includes data accompanying the paper titled, "Resolution of non-DC components of MTs induced during EGS stimulations at Utah FORGE and their implications." The resources includes the Green's Functions used to calculate the Moment Tensors published in Niemz et al. (...
Authors
Niemz, P. and Petersen, G. University Of Utah
geothermalenergyutah forgemoment tensorimpulse responsestimulationegsseismic

Microhole drilling technology utilizing a golden section search algorithm

Jun 23, 2021
812.35 MB
Publicly accessible
A fundamental issue in microhole drilling is that delivering high weight-on-bit (WOB), high torque rotational horsepower to a conventional drill bit does not scale down to the hole sizes necessary to realize the envisioned cost savings An optimization algorithm called a golden sec...
Authors
Su, J. et al Sandia National Laboratories
geothermalpercussive hammerweight-on-bitoptimizationmicroholesslimholesdrillingexplorationmonitoringtechnical assessmentfeasibilitywobgssgolden section searchalgorithmblue canyon domenew mexico tech energetic materials research and testing centersocorronew mexico

Stanford Thermal Earth Model for the Conterminous United States

Mar 14, 2024
21.57 GB
Publicly accessible
Provided here are various forms of the Stanford Thermal Earth Model, as well as the data and methods used for its creation. The predictions produced by this model were visualized in two-dimensional spatial maps across the modeled depths (0-7 km) for the conterminous United States....
Authors
Aljubran, M. and Horne, R. Stanford University
thermal earth modeltemperaturegeothermalenergystanfordtemperature-at-depthheat flowrock thermal conductivityinterpignnphysics-informedgraph neural networksmachine learningmodeltemperature modelarcgisapimodel inputsmodel outputsdata-drivenspatial interpolationalgorithmheat conductionbottomhole temperature
1234Next >>
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