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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

An HPC-Based Hydrothermal Finite Element Simulator for Modeling Underground Geothermal Behavior with Example Simulations on The Treasure Island and UC Berkeley Campus

Aug 01, 2021
186.08 MB
Publicly accessible
This submission contains the source code of the Hydrothermal Finite Element Simulator used for the Treasure Island and UC Berkeley campus geothermal simulation. It contains a report that summarizes the development and validation of this Hydrothermal Finite Element Simulator, with ...
Authors
Chen, K. et al Lawrence Berkeley National Laboratory
geothermalenergyfinite elementcoupled hydrothermal modelingcommunity scaleground source heat pumpparallel computingdeal.iidistrict heating and cooling systemsubsurface heat responsetreasure islanduc berkeley campuscsimulationuc berkeleydistrict heatingdistrict coolingenergy deliverygeothermal storagegoethermal energy storageenergy storage

Brady Geothermal Field Well Lithologies

Jul 22, 2015
16 kB
Publicly accessible
This dataset provides well lithologies and corresponding descriptions exported from the 3D Leapfrog geologic model of the Brady Geothermal Field in Northwestern Nevada. Two .csv files are included. The file labeled Well Lithologies Descriptions provides the descriptions for each l...
Authors
Lopeman, J. University of Wisconsin
geothermalwelllithologiesdescriptionlithology3dgeologic modelgeologyleapfrogbradyshot springsbradygeothermal areawell datanevada

QuakeCastNet: Source Code for Forecasting of Injection-Induced Seismicity

Sep 20, 2026
16.21 MB
Curated
This submission houses the companion code for the manuscript by Zhengfa Bi (Lawrence Berkeley National Laboratory) and Nori Nakata (Lawrence Berkeley National Laboratory; MIT). Both the companion code and manuscript are included in the resources section of this submission. Fluid ...
Authors
Nakata, N. and Bi, Z. Lawrence Berkeley National Laboratory
geothermalenergyutah forgeseismicitydeep learningthe geysersforecastegsinduced seismicityseismicity forecastingtftprobabilisticmulti-horizontemporal transformer frameworkmachine learningdecision supporttraffic light

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

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

Utah FORGE: Fault Shear Reactivation Experimental Data for Fluid Injection-Rate Controls on Seismic Moment

Nov 07, 2023
12.98 MB
Publicly accessible
Included are experimental data recorded from shear experiments that specifically explore the link between fluid-injection rate and seismic moment resulting from shear reactivation of laboratory faults. Raw mechanical data from three experiments are included alongside corresponding...
Authors
Roseboom, M. et al Pennsylvania State University
geothermalenergyinduced seismicityinjection rateegsseismic momentgeomechanicsgeophysicsutah forgeshearmatlabshear experimentsraw datacodecore experimenttemcoconfining pressurepore pressureaxial pressureshear displacementfracturealong-fault pressureconstant shear stress

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

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

Utah FORGE: Fault Reactivation Through Fluid Injection Induced Seismicity Laboratory Experiments

Jul 01, 2023
119.91 MB
Publicly accessible
Included are results from shear reactivation experiments on laboratory faults pre-loaded close to failure and reactivated by the injection of fluid into the fault. The sample comprises a single-inclined-fracture (SIF) transecting a cylindrical sample of Westerly granite. All expe...
Authors
Yu, J. et al Pennsylvania State University
energyinduced seismicityegsutah forgewesterly graniteraw datacodematlabfault activationinjection testpressureflow ratereactivationshearfluid

Nationwide Heat Flow, Well Data, and Related Files in the SMU Node of the National Geothermal Database System (NGDS)

Mar 01, 2014
21.6 GB
Publicly accessible
This dataset compiles heat flow and temperature gradient data from over 44,000 wells across the United States, along with more than 6,000 related geothermal exploration resources. Originally assembled prior to 2014 for the now-retired National Geothermal Data System (NGDS), the co...
Authors
Blackwell, D. et al Geothermal Laboratory, Southern Methodist University
geothermalenergyheat flowtemperature gradientbhtwell datangdsgeothermal explorationthermal conductivityradiogenic heatoil and gas wellsgeothermal wellssubsurface datageological dataprocessed datatechnical reportspublicationsgeothermal mappingngds-smusmu node

Stimulation at Desert Peak Modeling with the Coupled THM Code FEHM

Apr 30, 2013
223.65 MB
Publicly accessible
Numerical modeling of the 2011 shear stimulation at the Desert Peak Well 27-15 using a coupled thermal-hydrological-mechanical simulator. This submission contains the finite element heat and mass transfer (FEHM) executable code for a 64-bit PC Windows-7 machine, and the input and ...
Authors
Kelkar, S. et al Los Alamos National Laboratory
geothermalshear stimulationmodelingegsfehmthmthermal-hydrological-mechanicalsimulationstimulation

Distributed Acoustic Sensing (DAS) Data for Periodic Hydraulic Tests: Hydraulic Data

Jul 31, 2015
4.26 MB
Publicly accessible
Hydraulic responses from periodic hydraulic tests conducted at the Mirror Lake Fractured Rock Research Site, during the summer of 2015. These hydraulic responses were measured also using distributed acoustic sensing (DAS) which is cataloged in a different submission under this gr...
Authors
Cole, M. California State University
geothermalenergyperiodic hydraulic testsinterference testsdaspulse interference testsdistributed acoustic sensinghydraulic testingmatlabacoustic sensing data

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

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

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

EGS Collab Experiment 1: Temperature profile

Apr 01, 2019
18.7 MB
Publicly accessible
This submission includes an input file, plot file, Fortran conversion file, and 3D data file from the simulation of the temperature profile within the Test Bed #1 of the EGS Collab project. The simulation was executed with PNNL's STOMP-GT simulator, which reads the input file, and...
Authors
White, M. Pacific Northwest National Laboratory
geothermalenergysurfegs collabnumerical simulationstomp-gtdataegstemperaturedistribution3dwest access driftfortrancodesanford underground research facility

Deep Direct-Use Feasibility Study Economic Analysis using GEOPHIRES for West Virginia University

Jan 09, 2020
3.73 MB
Publicly accessible
This dataset contains all the inputs used and output produced from the modified GEOPHIRES for the economic analysis of base case hybrid GDHC system, improved hybrid GDHC system with heat pump and for hot water GDHC. Software required: Microsoft Notepad, Microsoft Excel and GEOPHI...
Authors
Garapati, N. West Virginia University
geothermalenergygeophireswvulcohhybrid geothermal natural ags systemdirect-usereservoir simulationuncertainty analysisddudeep direct usefeasibilityeconomicgdhcdhsdistrict heatingdistrict heating and coolingcostheatlevelizedhot waterhybridheat pumpnatural gashybrid geothermal natural gas system

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

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

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

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

Utah FORGE: Phase Native State FALCON Model Files

Jun 06, 2019
11.78 MB
Publicly accessible
The submission includes FALCON input file and mesh for the an initial pressure-temperature simulation, and a second set for pressure-temperature-displacement simulation. All simulations are steady state. Data and input for the FORGE Phase 2 native state model were compiled from hi...
Authors
Podgorney, R. Idaho National Laboratory
geothermalenergyfalconforgenative stateutahroosevelt hot springsmilfordegsenhanced geothermal systemengineered geothermal systemutah forgecodesimulationscprocessed datapreprocessed dataraw datageospatial data3-d modellinggeologytemperaturestresspressurecharacterizationmodeling3-d modelinglithologymesh fileinputslithologic contacts

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
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