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Dynamic Earth Energy Storage: Terawatt-Year, Grid-Scale Energy Storage using Planet Earth as a Thermal Battery (GeoTES): Seedling Project Final Report

May 31, 2019
4.48 MB
Publicly accessible
Grid-scale energy storage has been identified as a needed technology to support the continued build-out of intermittent renewable energy resources. As of April 2017, the U.S. had approximately 24.2 GW of energy storage on line, compared to 1,081 GW of installed generation capacity...
Authors
McLing, T. et al Idaho National Laboratory
energy storagegeothermal energythermal energy storagegeotestestemperatureporositymodelingsteamrankine cycleflue gasheatrecoverythermalhydrologylinear stabilitydirect usegoethermalbrinegrid stabilizationinjection testweber formationweber sandstonertes

Data of High-Temperature Dynamic LCM Testing Setup

May 31, 2021
9.94 MB
Publicly accessible
Data from high temperature dynamic sealing tests for various fracture widths, at various temperatures (degrees F), with 5 wt.% bentonite-based mud containing various material fiber contents, at 100 to 400 psi differential pressure. Data from pressure test and evaluation of the dy...
Authors
Magzoub, M. et al University of Oklahoma
geothermal drillinglost circulationshape memory polymergranitefractureswellbore strengtheningsealabilitygeothermalenergylost circulation materialssealing pressurefiltrationsmart lcmsmpfracture sealingdrilling fluid additivestemperaturemodeldrillingwellboreexperimenttechnologyprocessed data

Foam Fracturing Study for Stimulation Development of Enhanced Geothermal Systems

May 17, 2022
10.61 MB
Publicly accessible
This is a final technical report for the project: Foam Fracturing Study for Stimulation Development of Enhanced Geothermal Systems (EGS). The goal is to demonstrate the feasibility of foam fracturing in EGS applications. The project, led by Oak Ridge National Laboratory (ORNL), wa...
Authors
Wang, H. et al Oak Ridge National Laboratory
foam fracturingfoam stabilitywaterless stimulationenhanced geothermal systemsegsenergygeothermalfoamfracturingsimulationtestsample datablind boreholefatiguestressdatatime data

Cape EGS and Utah FORGE: Empirical 3D Seismic Velocity Model

Nov 12, 2025
1.08 GB
Publicly accessible
This dataset provides an empirical three-dimensional P and S-wave velocity model covering a 30 x 30 km area and extending to 10 km depth around the Cape Modern EGS and Utah FORGE sites. It incorporates three-dimensional topography and a sediment/basement contact derived from geoph...
Authors
Nakata, N. et al Lawrence Berkeley National Laboratory
geothermalenergyvelocitycape modernseismicseismic velocityvelocity modelp-waves-waveutah forgeenhanced geothermal systemsegscape egssubsurface characterizationnetcdfborehole velocityempirical model3d model

Utah FORGE: High-Resolution DAS Microseismic Data from Well 78-32

Oct 20, 2019
7.42 MB
Publicly accessible
This regards a high-resolution DAS microseismic dataset produced by Silixa from Utah FORGE Phase 2C seismic monitoring well 78-32 during stimulation testing of well 58-32. It is a very large dataset and as such it is currently not directly available on GDR. However, it is availabl...
Authors
Martin, T. and Nash, G. Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forgeforgeutah geothermalmicroseismic datasilixa microseismic datawell 78-32 microseismic datawell 58-32 stimulation seismicityforge phase 2csilixawell 58-32well 78-32utahmilfordroosevelt hot springssegyseg-ydasdistributed acoustic sensingdxsmicroseismicitydasvmonitoringwell locationwell datadtsdistributed temperature sensingprocessed datageophysicsstimulationraw data

EGS Collab Experiment 2: Continuous Active Source Seismic Monitoring (CASSM)

Jan 06, 2025
15.42 GB
Publicly accessible
The dataset contains continuous active-source seismic monitoring (CASSM) data collected during EGS Collab Experiment 2, conducted from February to September 2022 at the Sanford Underground Research Facility in Lead, South Dakota. This experiment aimed to investigate enhanced geoth...
Authors
Hopp, C. et al Lawrence Berkeley National Laboratory
geothermalenergyegs collabcassmseismicactive-sourcesurfstimulationcrosswellseismic monitoringraw data3caccelerometerthre componentcalibrationtechnical reportborehole arrayshot recordsactive-source monitoringexperiment 2triggeredtriggered recording systemgeophysicsegs

Flow and Geomechanical Modeling for the VESTA Project

Oct 07, 2025
705.82 MB
Awaiting release
This dataset contains flow and geomechanical modeling results developed for the VESTA project, which investigates high-temperature aquifer thermal energy storage (ATES). Both generic and site-specific models were constructed to evaluate reservoir thermal and mechanical performance...
Authors
Zhang, Y. and Rutqvist, J. Lawrence Berkeley National Laboratory
geothermalenergyhigh-temperature aquifer thermal energy storagecoupled thermal-hydrological-mechnical modelvestaaquifer thermal energy storageatesht-atestough-flactoughitough2thmgeomechanical modelingflow simulationheat transportberngeneric modelgroundwater flowpressure distributiontemperature profilesmodeled datastrainpermeabilityflac3dreservoir simulationates simulation

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

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

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

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

Appalachian Basin Play Fairway Analysis: Natural Sedimentary Reservoirs Data 2016 Revision

Dec 07, 2016
6.37 MB
Publicly accessible
Tier 3 data for Appalachian Basin sectors of New York, Pennsylvania and West Virginia used in a Geothermal Play Fairway Analysis of opportunities for low-temperature direct-use applications of heat. It accompanies data and materials submitted as Geothermal Data Repository Submissi...
Authors
Jordan, T. Cornell University
geothermalappalachian basinnew yorkpennsylvaniawest virginiadistrict heatingdeep direct uselow-temperaturereservoirproductivityfavorabilityreservoir productivity indexreservoir flow capacityrpirfcgpfa-abgeothermal play fairway analysiscontent modelgeologicnaturallow tempsedimentarycharacterizationutilizationlocationformationlithologyvolumeporositypermeabilityqualityassessmentresourcelow temperature

GEO2D Two-Dimensional Computer Model of a Ground Source Heat Pump System

Jun 07, 2013
23.23 MB
Publicly accessible
This file contains a zipped file that contains many files required to run GEO2D. GEO2D is a computer code for simulating ground source heat pump (GSHP) systems in two-dimensions. GEO2D performs a detailed finite difference simulation of the heat transfer occurring within the worki...
Authors
Menart, J. Wright State University
geothermalground source heat pump systemcomputer codevertical geothermal wellhorizontal geothermal wellgeo2dfinite differencecomputer modelheat pumpsgshpsoftwarematlab2dtwo dimensional

Full Moment Tensor Inversion Software

Oct 31, 2018
Size unavailable
Publicly accessible
The link points to a website at NCEDC to download the full moment tensors inversion software The moment tensor analysis conducted in the current project is based on the full moment tensor model described in Minson and Dreger (2008). The software including source, examples and tut...
Authors
Gritto, R. and Dreger, D. Array Information Technology
geothermalenergyfull moment tensor inversioninversionsoftwaremoment tensoranalysisseismicexampletutorialgeophysicsgeophysicalfaultfaultingearthquakemicroseismicityinducedseismicitystimulationegsinjectionfracturemonitoringhydraulicgenerationpassive

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

Cape EGS: Seismic Attenuation Profile and DAS Microseismic P-wave Spectra

Mar 17, 2026
15.25 GB
Publicly accessible
This dataset contains a 1D P-wave attenuation (Q) profile, distributed acoustic sensing (DAS) microseismic P-wave spectra, and derived source parameters from the Delano 1OB well at the Cape Modern geothermal field. The data were collected during a stimulation period from mid-Febru...
Authors
Chang, H. et al Lamont Doherty Earth Observatory
geothermalenergydasfiber-opticattenuationmicroseismicityp-wavesource parametersstress dropcapeforgeqspectraseismicegscape modernutah forgedistributed acoustic sensingp-wave attenuationquality factorbrune modelcorner frequencyseismic momentmoment magnitudewell logsdownhole measurementsraw dataprocessed datageomechanicsgeophysics

Drilling Parameters for ESH-1 Well at Cornell University Borehole Observatory

Jun 24, 2026
137.28 MB
Curated
This data set includes drill rig drilling parameters from well Cornell ESH #1 (API 31109300030000), known as the Cornell University Borehole Observatory, or CUBO. It is a stratigraphic well drilled to characterize potential EGS resources. The Drilling commenced on June 21, 2022 an...
Authors
Fulton, P. et al Cornell University
geothermalenergyegsdirect useappalachian basindrilling datacornell universitycubodeep direct useddudistrict heatingdeep welldrillingesh-1api 31109300030000drilling parametersedr

District Geothermal Energy Systems with Seasonal Underground Thermal Storage: Load Profiles, Modeling Workflow, and Techno-Economic Results for U.S. Screening

Sep 27, 2025
135.99 MB
Publicly accessible
This dataset accompanies the paper "Geothermal district energy systems coupled with seasonal underground thermal energy storage: a U.S. techno-economic screening by climate and geology." It contains the data and scripts required to reproduce the study's results across ten U.S. cit...
Authors
Mello, S. et al National Laboratory of the Rockies
geothermalenergydistrict energy systemsunderground thermal energy storageutesatesrtesground heat exchangerghesutratecho-economic analysisenergy modelingcomstockbuilding load profileslcoeaquifer storageseasonal storageu.s. citiespythonmodelscriptsmodel datasubsurface simulationgeotescold utes

Utah FORGE: Well 16B(78)-32 Drilling Data

Jul 03, 2023
393.06 MB
Publicly accessible
This drilling data for Utah FORGE well 16B(78)-32 include a well survey, core summary, mud and mud temperature logs, daily reports of the drilling process, and additional data from the Pason oil and gas company. Well 16B(78)-32 serves as the production well for reservoir creation...
Authors
McLennan, J. et al Energy and Geoscience Institute at the University of Utah
geothermalenergywell 16b78-32utah forgewell 16b78-32 drillingwell 16b78-32 drilling datadrilling datautah forge drilling datawell 16b78-32 drilling logswell 16b78-32 logswell 16b78-32 daily reportswell 16b78-32 surveyutah forge drillingcore drillingcorepasonpason datamud temperature logsmud temperaturedaily reportscore summaryeavorinsulated drill pipeinsulated drill pipe testutah geothermalmud logslithologygeology

Closed Loop Geothermal Working Group: GeoCLUSTER App, Subsurface Simulation Results, and Publications

Feb 03, 2023
177.77 MB
Publicly accessible
To better understand the heat production, electricity generation performance, and economic viability of closed-loop geothermal systems in hot-dry rock, the Closed-Loop Geothermal Working Group a consortium of several national labs and academic institutions has tabulated time-depe...
Authors
Beckers, K. et al Pacific Northwest National Laboratory
geothermalenergyclosed loopclosed loop geothermal working groupgeoclusteru-shape configurationcoaxial configurationwater working fluidsco2 working fluidlcohlcoeapplicaitonhdf5databaseinstallationclgwghot-dry rockhdrcodepythondashsubsurfacesimulationmodelingeconomiccoaxialu-shapedconfigurationclosed loop geothermal

EGS Collab Experiment 1: Microseismic Monitoring

Jul 29, 2019
2.83 TB
Publicly accessible
The U.S. Department of Energy's Enhanced Geothermal System (EGS) Collab project aims to improve our understanding of hydraulic stimulations in crystalline rock for enhanced geothermal energy production through execution of intensely monitored meso-scale experiments. The first expe...
Authors
Schoenball, M. et al Lawrence Berkeley National Laboratory
geothermalenergyegs collabsurfhydraulicfracturingstimulationsanford underground research facilityexperimentegsmicroseismic monitoringmeso-scale stimulationssandford underground researchmesoscale experimentscrystalline rock3d sensorleadsouth dakotasta/lta triggering algorithmmicroseismicitycatalograw dataprocessed databinary file interpreterpythongeospatial data

Machine Learning to Identify Geologic Factors Associated with Production in Geothermal Fields: A Case-Study Using 3D Geologic Data from Brady Geothermal Field and NMFk

Oct 01, 2021
5.68 MB
Publicly accessible
In this paper, we present an analysis using unsupervised machine learning (ML) to identify the key geologic factors that contribute to the geothermal production in Brady geothermal field. Brady is a hydrothermal system in northwestern Nevada that supports both electricity producti...
Authors
Siler, D. et al United States Geological Survey
geothermalenergynmfkbrady hot springsmachine learningmlbhsnonnegative matrix factorization k-meanshydrothermalbradyk-meansclusteringnonnegative matrix factorizationmatrix factorizationgeothermalcloudsmarttensorsunsupervised3d well data3d geologic mapgeologic structurefaultsstressgeologycharacterizationgeologic modelproductioncode

Basin and Range Investigation for Developing Geothermal Energy: Exploration Data

Jan 03, 2022
266.32 GB
Publicly accessible
This data package includes exploration material from the Basin & Range Investigation for Developing Geothermal Energy [in Hidden Systems] project (BRIDGE), which is part of a broader initiative to advance the exploration of hidden geothermal resources in the Basin & Range Province...
Authors
Schwering, P. et al Sandia National Laboratories
geothermalenergybasinrangeexplorationpotential fieldsairborne electromagneticsmagnetotellurics2-metertemperatureinversionconceptual modelnevadadixie valleyhawthornegabbs valleywalker lanegeologic mappinglidar analysisgeochemistrygravitylee allengrover pointhiddenblindclay caphidden systemsblind systemsgeophysicsraw dataprocessed data

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

Project Data for Evaluation Of Physics-Based Drilling and Alternative Bit Design At The Geysers

Mar 31, 2026
601.08 MB
Awaiting release
This dataset contains project data generated by the project "Evaluation Of Physics-Based Drilling and Alternative Bit Design At The Geysers." It includes drilling, downhole drilling dynamics, bit records, daily drilling reports, directional surveys, lithology and mineralogy data, ...
Authors
Wriedt, J. and So, P. Geysers Power Company, LLC
geothermalenergydrillingthe geysersphysics-based drillingbit designgdc-36prati-44downhole drilling dynamicsbit recordsdirectional surveylithologymineralogymud logspason edrwell logssonic logsfmiubiwell schematicraw data
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