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Three Dimensional Thermal Model of Newberry Volcano, Oregon

Jan 30, 2015
134.12 MB
Publicly accessible
Final results of a 3D finite difference thermal model of Newberry Volcano, Oregon. Model data are formatted as a text file with four data columns (X, Y, Z, T). X and Y coordinates are in UTM (NAD83 Zone 10N), Z is elevation from mean sea level (meters), T is temperature in deg C. ...
Authors
Frone, Z. and Cladouhos, T. AltaRock Energy Inc
geothermalnewberry volcano3d modelnewgenegsthermalmodelnewberry3dfinite differenceietexploration

Brady Geothermal Field Well Pumping Data During Deployment

Mar 30, 2016
2.68 MB
Publicly accessible
Contains pumping data associated with the wells used in the 2016 Spring Campaign led partially by UW Madison, LBNL, and LLNL scientists. The well coordinates and the depths to the pressure sensors used in the pumping wells can be found at the link "Coordinates and Sensor Depths" b...
Authors
Feigl, K. University of Wisconsin
geothermalporotomobradys geothermal fieldegspressureflow rateboreholedownholewell datapump datahot springs

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

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

Brady's Geothermal Field Analysis of Pressure Data

Mar 17, 2017
10.13 MB
Publicly accessible
*This submission provides corrections to GDR Submissions 844 and 845* Poroelastic Tomography (PoroTomo) by Adjoint Inverse Modeling of Data from Hydrology. The 3 *csv files containing pressure data are the corrected versions of the pressure dataset found in Submission 844. The ...
Authors
Lim, D. University of Wisconsin
geothermalenergyproduction flow rate datainjection flow rate datapressure datahydrologyhydrogeologybrady hot springsporotomoporoelastic tomographyegsenhanced geothermal systemsengineered geothermal systemsdeployment databradybradys geothermal fieldpressureflow rateboreholedownholewell datapressure sensorobservation wellspumping testwater pressureobservation well

EGS Collab Experiment 2: Shear Stimulation ERT Monitoring Data

Mar 06, 2023
139.08 MB
Publicly accessible
This repository contains the electrical resistivity tomography (ERT) monitoring data that was collected before, during, and after shear stimulation attempts were conducted at EGS Collab. These tests were carried out on the SURF 4100 level during Experiment 2 in March, 2022. Flow a...
Authors
Johnson, T. Pacific Northwest National Laboratory
geothermalenergyegs collabelectrical resistivity tomography4d-imaginge4dertexperiment 2raw datatime-lapse ertamuamldmudmltutltntsstimulation monitoringstimulationhydraulic pressure testsurfsurf 4100code3d modelingdata inversion

Alternative CAES Technology Using Depleted Unconventional Gas Wells and Subsurface Thermal Energy Storage (GeoCAES)

May 23, 2019
413.08 kB
Publicly accessible
This project assessed the technical viability of a process called GeoCAES. The process stores electrical energy by injecting natural gas into shale gas formations using a compressor, storing it, and producing it through an expander to generate electricity. This data submission inc...
Authors
Johnston, H. and Young, D. National Renewable Energy Laboratory
geothermalenergyenergy storagenatural gasunconventional shalegeocaesmodelwellgeothermal energy storagegeothermal reservoirsurface plantfeasibilitytechnologytestechnicaltechnical assesmentcodeprocessed data

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
Curated
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

Resource Analysis for Deep Direct-Use Feasibility Study in East Texas

Jun 28, 2018
20.79 MB
Publicly accessible
The National Renewable Energy Laboratory, Southern Methodist University Geothermal Laboratory, Eastman Chemical, Turbine Air Systems, and the Electric Power Research Institute are evaluating the feasibility of using geothermal heat to improve the efficiency of natural gas power pl...
Authors
Richards, M. et al Southern Methodist University
geothermalenergyeast texastravis peaksabine uplifthosstonsligocotton valleylongvieweastman chemicalreservoir productivity indexrpiheatflowheat flowsmusouthern methodist universitynrelbottom hole temperaturebhtabsorption chillpresentationmemodatapaperpublicationjournal articleddutxfeasibilitydeep direct-use

Dataset and SUTRA model used to evaluate Reservoirs for Thermal Energy Storage in the Portland Basin, Oregon.

Jun 29, 2020
Size unavailable
Publicly accessible
This is a link to the open access, published dataset and modeling that supports a feasibility study of Reservoir Thermal Energy Storage (RTES) in the Portland Basin, Oregon, USA. Citation: Burns, E.R., 2020, SUTRA model used to evaluate Saline or Brackish Aquifers as Reservoirs f...
Authors
Bershaw, J. et al Portland State University
geothermalenergymodelrtesportland basinoregonsutratessimulationviscositydensityflowstimulationhydraulicaquifersalinebrackishporositywell-spacingwell datadistrict heatingheatingcoolingthermal efficiencyheat fluxtemperaturevolumepumping rate

Machine Learning-Assisted High-Temperature Reservoir Thermal Energy Storage Optimization: Numerical Modeling and Machine Learning Input and Output Files

Apr 15, 2022
113.79 MB
Publicly accessible
This data set includes the numerical modeling input files and output files used to synthesize data, and the reduced-order machine learning models trained from the synthesized data for reservoir thermal energy storage site identification. In this study, a machine-learning-assiste...
Authors
Jin, W. et al Idaho National Laboratory
reservoir thermal energy storagestochastic simulationgeotesmachine learningmodelingtesht-rtescharacterizationnumerical modelstochastichydrogeologic formationsimulated datasimulation datahigh-temperaturethermal energy storageoptimizationartificial neural network regressionannneural networkoperation scenariosseasonal-cyclepareto frontsseasonal operationcontinuous operationfalconmoose

WHOLESCALE: Mass Flux Rates for Wells at San Emidio in December 2016

Dec 01, 2016
1.79 MB
Publicly accessible
This dataset provides mass flux rates in kg/s from six (production and injection) wells at San Emidio at minute intervals from December 1, 2016 December 15, 2016. Files for injection wells are named with "IW", for instance "WellIW42-21SI.csv", and include negative flux rates. Fil...
Authors
Cardiff, M. et al University of Wisconsin Madison
geothermalenergywholescalewaterholeobservationstresssystemspatialtemporalphysicsmodelinghydrologicthermalmechanicalgeophysicssan emidionevadamass flux ratesflow rateswell datainjectionproduction

Snake River Plain FORGE: Site Characterization Data

Apr 18, 2016
632.32 MB
Curated
The site characterization data used to develop the conceptual geologic model for the Snake River Plain site in Idaho, as part of phase 1 of the Frontier Observatory for Research in Geothermal Energy (FORGE) initiative. This collection includes data on seismic events, groundwater,...
Authors
Moos, D. and Barton, C. Idaho National Laboratory
geothermalforgeegssrgcsnake river plainidahosite characterizationsite datageologic modelgeomechanical modelwell datatempsupplementaladdendum3d modelrock physicsinel-1wo-2usgs-142websiteeventsinformationblogdatacollectionpaperstressinel sitestrian ratesdeformationanalyticalmodelinlseismicmonitoringannual reportmapseismic modelinggeologichistorysettingsublithosphericneogeneyellowstoneheisepicabovolcanicfieldvoncanicgravityheat flowcalderavolcanismmantle plumeoceanic hotspotmagmatismgrraesrpeastern snake river plainbasinpotentialsiteextensionsubsidencepaleoseismologyextensional structuresintrusiontectonic faultsgeomechanicalcharacterizationheheliumisotopeisotopic evidenceundiscoveredgeothermal systemserspaquiferthermal watermodelingthermalgeochemicalanomaliesconceptual modelwellboregroundwatertemperaturedistributionwell headstdtarget depthlocationcoordinateselevationresidualisostaticmagneticusgsmagneticsnrmeasternmtinversionlong-periodphase 1resistivityelectricalsoundinggeoelectricsectionrefraction surveyteleseismicreceiverprofilingrefractionray trace3dvolcanicspaleozoicrhyoliticpetreljewelsuitefold hingessnapshotsrpsrgmagnetotellurics

Coupling Subsurface and Above-Surface Models for Optimizing the Design of Borefields and District Heating and Cooling Systems

Jan 31, 2022
1.45 GB
Publicly accessible
Accurate dynamic energy simulation is important for the design and sizing of district heating and cooling systems with geothermal heat exchange for seasonal energy storage. Current modeling approaches in building and district energy simulation tools typically consider heat conduct...
Authors
Hu, J. et al Lawrence Berkeley National Laboratory
geothermal bofieldenergymodelica buildings librarytoughcouplingdistrict energy systemdistrict heatingdistrict coolinggeothermalborefieldsimulationmodelmodelingoptimizationenergy storageseasonal energy storagegeothermal heat exchangeground source heat pumpgshpcodepythonmodelica

GOOML Big Kahuna Forecast Modeling and Genetic Optimization Files

Jun 30, 2021
13.6 MB
Curated
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

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

INGENIOUS Great Basin Regional Dataset Compilation

Jun 30, 2022
116.98 MB
Publicly accessible
This is the regional dataset compilation for the INnovative Geothermal Exploration through Novel Investigations Of Undiscovered Systems (INGENIOUS) project. The primary goal of this project is to accelerate discoveries of new, commercially viable hidden geothermal systems while re...
Authors
Ayling, B. et al GBCGE, NBMG, UNR
geothermalenergy2-meter probetemperaturegeochemistryquaternary falutsquaternary volcanicsgeodeticsseismicitypaleogeothermalwellsspringsslip and dilationingeniousplay fairway analysisgreat basinnevadautahidahocaliforniaoregonthermal conductivitymagnetotelluricsgravitymagneticsheat flowshapefilesgridssinterslipdilationearthquakesshearconductivityconductancegeotiffgeospatialcompilationdataregionaltufavolcanicsexplorationplay fairwaymodelingundiscovered systemsdiscoveryfavorabilityfaultsmachine learningelevation trenddetrended elevationseismic dataraw datasoda lake

Reactive Transport Modeling of Aquifer Thermal Energy Storage System at Stockton, NJ

Oct 20, 2021
1.24 GB
Curated
This is the modeling data (input/output files of TOUGHREACT 4.10) used to simulate the reactive transport processes of the Aquifer Thermal Energy Storage (ATES) operations at Stockton University, NJ. Readme.txt lists all the files. TOUGHREACT 4.10 requires to reproduce the modelin...
Authors
Kumar, R. et al Lawrence Berkeley National Laboratory
geothermalenergyaquiferenergy storagethermal storagethermal energy storagemodelsimulationdatamodeling datatoughreactseasonal heatingseasonal coolingseasonal energy storageseasonal heating and coolinghydrogeochemicalgeochemicalinjectionates

GOOML Kahunanui Data Curation, Historical Modeling, Forecast Modeling, and Genetic Optimization Examples

Jan 30, 2023
725.34 MB
In curation
This dataset contains example files and Jupyter Notebooks associated with the Geothermal Operational Optimization using Machine Learning (GOOML) framework, specifically for the fictional Kahunanui (KHN) geothermal power plant. The dataset includes synthetic time series data, confi...
Authors
Taverna, N. et al Upflow
geothermalenergymachine learninggoomlpower plantoptimizationgenetic optimizationregressionneural networkoperationssynthetic datakahunanuiforecasthindcastdata curationinputsoutputsconfigurationexamplephygnnphysics guided neural networkssteamfieldsteam fieldwellsflash plantsprocessed datapythonjupyter notebookmodelmodelingcode

Utah FORGE 3-2417: Simulation Meshes and Results from Extended Circulation and Pulse Interference Testing

Sep 05, 2025
6.17 MB
Curated
This dataset contains numerical simulation meshes and modeling results from extended circulation and pulse interference tests conducted between Utah FORGE wells 16A(78)-32 and 16B(78)-32. The simulations were performed as part of the FOGMORE Utah FORGE project (Fiber Optic MOnitor...
Authors
Lee, S. and Ghassemi, A. Rice University
geothermalenergyutah forgeegsfogmoresimulationmeshreservoir modelingextended circulation testpulse interference testnumerical simulationmesh datapressure distributiontemperature distributionpermeability modelingstress-dependent permeabilitydiscrete fracture networkdfnfiber optic monitoring16a78-3216b78-32paraviewmodelmodel filesmodel results

Utah FORGE 3-2535: Modeling Studies of Energized Steel-Casing Source EM Method for Detecting Stimulated Zone

Feb 06, 2023
6.08 MB
Publicly accessible
Numerical modeling Studies for electromagnetic (EM) Data Acquisition Survey Design this milestone report describes the 3D modeling studies of energized steel-casing source electromagnetic method for detecting stimulated zone at the Utah FORGE Site. FORGE project 3-2535 is planning...
Authors
Um, E. et al Lawrence Berkeley National Laboratory
geothermalenergyutah forgeegsremote sensingwell characterizationwell 16awell 16b

Utah FORGE: Report and Associated Data from Measuring and Modeling Deformation 2018 through 2024

Aug 16, 2018
30.41 MB
Publicly accessible
The report provided here describes research activities between August 16th, 2018 and July 30th, 2024. The goals of the research activities are to conduct an Interferometric Synthetic Aperture Radar (InSAR) analysis and Ground Surface Deformation Modeling at the Utah FORGE site. In...
Authors
Feigl, K. and Batzli, S. University of Wisconsin Madison
geothermalenergyutah forgeforgeutah geothermalreservoirengineeringhydraulicfracturingegsinsarinterferometric synthetic aperture radarmodelingreportprocessed dataground deformationhydromechanical modelingfinite-elementgpssurface displacement

Utah FORGE: Well 16A(78)-32 Stimulation DFN Fracture Plane Evaluation and Data

Oct 27, 2022
1.63 MB
Publicly accessible
This dataset includes files used to fit planar fractures through the preliminary earthquake catalogs of the three stages of the April 2022 well 16A(78)-32 stimulation which is linked bellow. These planar features have been used to update the FORGE reference Discrete Fracture Netwo...
Authors
Finnila, A. WSP Golder
geothermalenergydfnutah forgestimulationwell stimulationfracingfrackingdiscrete fracture networkwell fracturerock fractureswell fractureswell 16a78-32utah forge wellswell 16a78-32 stimulationexcelcsvpdfegsmodelingcharacterizationforge

Utah FORGE 3-2535: Building a 3D Resistivity Model for Simulation and Survey Design of EM Measurements

Dec 01, 2022
3.23 MB
Publicly accessible
The included report outlines the creation of three 3D resistivity models that will be used to determine the sensitivity of EM measurements for the hypothetical stimulated reservoir at FORGE as well as for EM survey design. FORGE project 3-2535 is planning on using a casing source ...
Authors
Alumbaugh, D. et al Lawrence Berkeley National Laboratory
geothermalenergyutah forgeegsforgemodelingresistivity modelremote sensingwell characterizationwell 16awell 16b

University of Illinois Campus Deep Direct-Use Feasibility Study Subsurface Temperature Profile

Jun 13, 2018
128.44 kB
Publicly accessible
High resolution fiber-optic distributed temperature sensing logs from the Illinois Basin Decatur Project (IBDP) in Decatur, IL were used to model the thermal profile in the Illinois Basin.
Authors
Lin, Y. et al University of Illinois
geothermalenergyddudeep direct-useuniversity of illinoisillinois basintemperature profiledtsdistributed temperature sensingtemperature gradient
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