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GEO3D Three-Dimensional Computer Model of a Ground Source Heat Pump System

Jun 07, 2013
525.02 kB
Publicly accessible
This file is the setup file for GEO3D, a computer program written by Jim Menart to simulate vertical wells in conjunction with a heat pump for ground source heat pump (GSHP) systems. This is a very detailed three-dimensional computer model. This program produces detailed heat tran...
Authors
Menart, J. Wright State University
geothermalground source heat pump systemscomputer programvertical geothermal wellgeo3dvertical gshp systemcomputer model3d modelheat pumpground source heat pump computer programheat pumpsgshpheattransfercodeprogram3dthree dimensional

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

Finite Volume Based Computer Program for Ground Source Heat Pump System Final Scientific Report

Jul 31, 2013
5.62 MB
Publicly accessible
The goal of this project was to develop a detailed computer simulation tool for GSHP (ground source heat pump) heating and cooling systems. Two such tools were developed as part of this DOE (Department of Energy) grant; the first is a two-dimensional computer program called GEO2D ...
Authors
Menart, J. and Frederick, J. Wright State University
geothermalground source heat pump systemscomputer modelingvertical wellshorizontal wellsheat rate resultscop resultsfinal reportgeo2dgeo3dcodecomputermodelingwellsreportheat pumps

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

Utah FORGE: InSAR Data Best Pairs

May 31, 2023
4.9 GB
Publicly accessible
This submission provides Interferometric Synthetic Aperture Radar (InSAR) data covering the Utah FORGE site via the TerraSAR-X and TanDEM-X satellite missions operated by the German Space Agency (DLR). Data was collected between 2019/01/01 and 2023/06/30. Interferometric pairs (...
Authors
Batzli, S. and Feigl, K. University of Wisconsin Madison
geothermalenergyutah forgeforgeutah geothermalreservoirengineeringhydraulicfracturingegsremote sensinginsargeospatial dataprocessed dataterrasar-xtandem-xdigital elevation modelrasterdlrgmt-sargeneric mapping tool

EGS Collab Experiment 1: Circulation Testing Processed data

Apr 01, 2021
129.85 MB
Publicly accessible
This submission includes processed and reduced data for circulation testing that was conducted at the 164' fracture on the 4850 ft level of the Sanford Underground Research Facility. The circulation tests were done to test the flow through the 164' fracture in the EGS Collab Exper...
Authors
Fu, P. et al Lawrence Livermore National Laboratory
geothermalenergyegs collabsurfsanford underground research facilityexperimentegscirculationthermal drawdownprocessed datadata processingpythoncodeinjection testinjection rateinjection pressureflowpressuretemperaturestimulation

Energyshed: University of Vermont Dashboard and Simulation Code V2

Oct 29, 2025
73.63 MB
Awaiting release
This dataset contains (updated) preliminary code for the Energyshed project at University of Vermont. The data includes code for the community dashboard tool (website) and the modeling and co-simulation tools. This code is intended to supplement the Continuation Application and re...
Authors
Hamilton, D. et al University of Vermont
geothermalenergyenergysheduniversity of vermontuvmcoderpythonwebsitedashboardsoftwareceiimodelingco-simulationlocal generationlocal consumptionplace-based energy production

Energyshed: University of Vermont Dashboard and Simulation Code V1

Apr 27, 2025
47.97 MB
Awaiting release
This dataset contains the preliminary code for the Energyshed project at University of Vermont. The data includes code for the community dashboard tool (website) and the modeling and co-simulation tools. This code is intended to supplement the Continuation Application and reports ...
Authors
Hamilton, D. et al University of Vermont
geothermalenergyenergysheduniversity of vermontuvmcoderpythonwebsitedashboardsoftwarecritical energy infrastructure informationceiimodelingco-simulationplaced-based energy productionlocal generationlocal consumption

STRESSINVERSE Software for Stress Inversion

Oct 31, 2018
Size unavailable
Publicly accessible
The STRESSINVERSE code uses an iterative method to find the nodal planes most consistent with the stress field given fault frictional properties. STRESINVERSE inverts the strike, rake and dip from moment tensor solutions for the in-situ state of stress. The code iteratively solves...
Authors
Gritto, R. Array Information Technology
geothermalenergystress inversioninversionstressseismicanalysisstressinversejointfault orientationmatlabcodenumericalmomenttensorsoftwarepassivefaultfaultingearthquakeorientationgeophysicsgeophysicalmicroseismicityinducedseismicitystimulationegsinjectionfracturemonitoringhydraulicgeneration

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

GeoThermalCloud framework for fusion of big data and multi-physics models in Nevada and Southwest New Mexico

Mar 29, 2021
179.87 MB
Publicly accessible
Our GeoThermalCloud framework is designed to process geothermal datasets using a novel toolbox for unsupervised and physics-informed machine learning called SmartTensors. More information about GeoThermalCloud can be found at the GeoThermalCloud GitHub Repository. More information...
Authors
Vesselinov, V. Los Alamos National Laboratory
geothermalenergymachine-learningnew mexicobradynevadagreat basinsouthwest new mexicomulti-physicsbrady hot springssmarttensorsgeothermalcloudgeothermal cloudlos alamos national laboratorysite datasimulationmachine learningmodel

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

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

Newberry Volcano Joint Active-Source and Teleseismic P-Wave Tomography Slowness Model and Processing Code

Dec 14, 2015
3.54 GB
Publicly accessible
This dataset contains a three-dimensional seismic slowness model and MATLAB processing code derived from P-wave seismic data collected at Newberry Volcano in central Oregon. The associated study combines active-source first-arrival travel times with teleseismic P-wave delay times ...
Authors
Heath, B. et al University of Oregon
geothermalenergynewberry volcanoseismic tomographyp-waveslownessslowness modelvelocity modelactive-source seismologyteleseismic delay timesjoint inversionupper crustmatlabdeepenprocessed datageophysicssuperhot

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

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

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

Utah FORGE: Triggered DAS Data from the April 2024 Mini-Circulation Test

May 01, 2026
Size unavailable
In progress
This dataset contains distributed acoustic sensing (DAS) data collected during the April 2024 mini-circulation test at the Utah FORGE site. Data were acquired from wells 16B(78)-32 and 58-32 during the mini-circulation period from April 23-28, 2024, following stimulation of the in...
Authors
Dyer, B. et al Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forgeegsdistributed acoustic sensingdasmini-circulation testcirculation testsegyseg-y16b78-3258-32seismic datawell trajectoriesgeophysics

PoroTomo Natural Laboratory Horizontal and Vertical Distributed Acoustic Sensing Data

Mar 29, 2016
342.13 TB
Publicly accessible
This dataset includes links to the PoroTomo DAS data in both SEG-Y and hdf5 (via h5py and HSDS with h5pyd) formats with tutorial notebooks for use. Data are hosted on Amazon Web Services (AWS) Simple Storage Service (S3) through the Open Energy Data Initiative (OEDI). Also include...
Authors
Feigl, K. et al University of Wisconsin
geothermalporotomodasfiber opticsurface sensorsseismic arraydistributed acoustic sensingporoeleastic tomographybradys geothermal fieldgeosciencedistributed sensingdownholetrenchedseismicityhydrothermalgeophysicsoediraw datajupyter notebookpythonhdf5hsdsh5pyh5pyd

Final Report: Low Temperature Geothermal Play Fairway Analysis for the Appalachian Basin

Nov 18, 2015
31.13 MB
Publicly accessible
This is a final report summarizing a two-year (2014-16) DOE funded Geothermal Play Fairway Analysis of the Low-Temperature resources of the Appalachian Basin of New York, Pennsylvania and West Virginia. Collaborators included Cornell University, Southern Methodist University, and ...
Authors
E. Jordan, T. Cornell University
geothermalappalachian basinnew yorkpennsylvaniawest virginiadistrict heatingdeep direct uselow-temperaturereservoirproductivityfavorabilityreservoir productivity indexreservoir flow capacitygpfa-abgeothermal play fairway analysisthermal analysisresource assessmentheat flowthermal conductivitygeothermsheat utilizationsurface leveled cost of heatlcohslcohdemandgeophirescombined risk segment mapsrisk analysisinduced seismicityfaultspotential fieldswaveletsbht correctionslow temperature

Appalachian Basin Play Fairway Analysis Thermal Risk Factor and Quality Analyses

Aug 02, 2016
197.39 MB
Publicly accessible
*This submission revises the analysis and products for Thermal Quality Analysis for the northern half of the Appalachian Basin (https://gdr.openei.org/submissions/638)* This submission is one of five major parts of a Low Temperature Geothermal Play Fairway Analysis. Phase 1 of the...
Authors
Jordan, T. Cornell University
geothermalappalachian basinwest virginiapennsylvanianew yorkdeep direct uselow temperaturedistrict heatingthermal analysisresource assessmentheat flowthermal conductivitygeothermsgeothermal play fairway analysisgpfa-abarcgispfatemperatureanalysisthermalrisk factorgeospatial data

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

Jan 30, 2023
725.34 MB
Awaiting release
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: Triggered 3-Component Surface Nodal Seismic Waveforms from the April 2022 FOAL 1 Experiment

Jun 30, 2026
736.6 MB
Publicly accessible
This package contains triggered 3-component surface nodal seismic waveforms recorded during the FOAL 1 experiment, or FORGE Observation Array Linear #1, which occurred during the April 2022 hydraulic stimulation of well 16A(78)-32 at the Utah FORGE EGS site. This data was utilized...
Authors
Kim, J. et al Rice University
geothermalenergyegsutah forgeforgemicroseismichydraulic stimulationfoal 1forge observation array linear16a32-32april 2022microseismicityinduced seismicitypassive seismic monitoringsurface nodal array3-component seismic datasmartsolominiseedstationxmlevent catalogwell trajectoryfogmoregeophysicsseismic dataprocessed data

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
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