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Machine Learning Model Geotiffs Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada

Jun 01, 2021
590.94 MB
Publicly accessible
This submission contains geotiffs, supporting shapefiles and readmes for the inputs and output models of algorithms explored in the Nevada Geothermal Machine Learning project, meant to accompany the final report. Layers include: Artificial Neural Network (ANN), Extreme Learning Ma...
Authors
Faulds, J. et al Nevada Bureau of Mines and Geology
geothermalenergyneural networkbayesianannelmbnnprincipal componentpcanmfmachine learningalgorithmplay fairwaynevadapfagreat basingeotiffexplorationcharacterizationinputsoutputsrasterfeature settraining sites

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

Fallon FORGE: Thermal-Hydrological-Mechanical Models

Mar 12, 2018
319.54 MB
Publicly accessible
Archive contains thermal-mechanical simulation input/output files. Included are files which fall into the following categories: ( 1 ) Spreadsheets with various input parameter calculations ( 2 ) Final Simulation Inputs ( 3 ) Native-State Thermal-Hydrological Model Input File Fol...
Authors
Blankenship, D. and Sonnenthal, E. Sandia National Laboratories
geothermalenergyforgeegsgeomechanicssimulationmodelnevadavetted-nofallonnvthmthermal-hydrological modelthermal-hydrological-mechanicalmodelingtmthermalhydrologicalmechanical

Utah FORGE: Composite 3D Seismic Velocity Model

Feb 09, 2024
1.56 MB
Publicly accessible
This is a composite 3D seismic velocity that was constructed from compiled information from several local studies regarding seismic velocities and structural information. This seismic velocity model is provided in NonLinLoc format (slow_len), which is readily usable in NonLinLoc ...
Authors
Finger, C. et al University of Utah Seismograph Stations
geothermalenergyutah forgeseismic modelseismic velocity modelseismic velocityseismicityroosevelt hot springmilfordutah geothermalegs3d seismic velocity modelpythonnonlinloccomposite modelcodeseismicgeophysicssubsurface model

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

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

Brady Geodatabase for Geothermal Exploration Artificial Intelligence

Apr 27, 2021
179.02 GB
Publicly accessible
These files contain the geodatabases related to Brady's Geothermal Field. It includes all input and output files for the Geothermal Exploration Artificial Intelligence. Input and output files are sorted into three categories: raw data, pre-processed data, and analysis (post-proces...
Authors
Moraga, J. et al Colorado School of Mines
geothermalenergygeodatabasebrady hot springsbradyartificial intelligenceaibrady wellseismicremote sensinghyperspectralgeospatial databasedeep learningmachine learningexplorationsite detectiongeothermal site detectionanomaly detectionshort wavelength infraredswirsupport vector machinesvmland surface temperaturelstwellraw dataprocessed datanevadaarcgismodeldatabasehydrothermalgeophysicsradargisblindblind systemdeformationgeophysicalhyperspectral imagingconceptual modelfaultpreprocessedrastervectorfield datageospatial data

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

Utah FORGE: Phase 3 Native State Model 2022 Update

Jul 29, 2022
326.43 MB
Publicly accessible
This is the Phase 3 native state model update. The Phase 3 numerical model represents a significant subsurface volume below the FORGE site footprint. The model domain of 4.0 km x 4.0 km x 4.2 km is located approximately between depths of 4000 to 4200 meters below land surface. Thi...
Authors
Podgorney, R. and Liu, R. Idaho National Laboratory
geothermalenergyutah forgenative state modelstresspressuretemperature16a78-3256-3258-3278-3278b-32fracturespore pressurereservoir potentialraw datasimulationmodelinputinput filesprocessed datawater

Fallon FORGE: Distinct Element Reservoir Modeling

Mar 12, 2018
57.97 MB
Publicly accessible
Archive containing input/output data for distinct element reservoir modeling for Fallon FORGE. Models created using 3DEC, InSite, and in-house Python algorithms (ITASCA). List of archived files follows; please see 'Modeling Metadata.pdf' (included as a resource below) for addition...
Authors
Blankenship, D. et al Sandia National Laboratories
geothermalenergyegsforgefallonnevadastresshydro-shearinghydraulic fracturesgeomechanicsthermalmicroseismicitygeometrycirculationstimulationreservoir modelvetted-nopython codescriptmicroseimicwell trajectoriesfracture aperturehydroshearingstereonet plotspercent fracture slip vs pressureinjectionstressesdfngeologic structurejoint networkleakoff ratioshear stimulatedshear displacementnormal displacementopenholecasedthermal drawdownseismicitywell locationsreservoir mappingmiocroearthquakesmeqthermal modelingfracture tendancymicroseismicanalysisanalysesmodellingmodelreservoir

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: 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

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

Oct 20, 2021
1.24 GB
Publicly accessible
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 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

Desert Peak Geodatabase for Geothermal Exploration Artificial Intelligence

Apr 27, 2021
59.5 GB
Publicly accessible
These files contain the geodatabases related to the Desert Peak Geothermal Field. It includes all input and output files used in the project. The files include data categories of raw data, pre-processed data, and analysis (post-processed data). In each of these categories there ar...
Authors
Moraga, J. et al Colorado School of Mines
geothermalenergygeodatabasenevadadesert peakartificial intelligenceairaw dataprocessed dataremote sensinghyperspectralmachine learningdeep learningexplorationarcgismodelsite detectionanomaly detectiongeothermal site detectiondatabasehydrothermalgeophysicsradarshort wavelength infraredswirsupport vector machinesvmland surface temperaturelstwellgisblindblind systemhyperspectral imaginggeophysicaldeformationconceptual modelfaultpreprocessedgeospatial data

Salton Sea Geodatabase for Geothermal Exploration Artificial Intelligence

Apr 27, 2021
148.82 GB
Publicly accessible
These files contain the geodatabases related to Salton Sea Geothermal Field. It includes all input and output files used with the Geothermal Exploration Artificial Intelligence. Input and output files are sorted into three categories: raw data, pre-processed data, and analysis (po...
Authors
Moraga, J. et al Colorado School of Mines
geothermalenergygeodatabasesalton seaartificial intelligenceaideep learningmachine learningseismicremote sensinghyperspectralhyperspectral imaginggeospacial databaseexplorationsite detectiongeothermal site detectionanomaly detectionshort wavelength infraredswirsupport vector machinesvmland surface temperaturelstwellraw dataprocessed datacaliforniaarcgisgismodeldatabasehydrothermalgeophysicsradarblindblind systemdeformationgeophysicalconceptual model faultpreprocessedrastervectorfield datageospatial data

Geocellular model of St. Peter Sandstone for University of Illinois at Urbana-Champaign DDU Feasibility Study

Dec 31, 2018
68.79 MB
Publicly accessible
The geocellular model of the St. Peter Sandstone was constructed for the University of Illinois at Urbana-Champaign DDU feasibility study. Starting with the initial area of review (18.0 km by 18.1 km [11.2 miles by 11.3 miles]) the boundaries of the model were trimmed down to 9.7 ...
Authors
Damico, J. University of Illinois
geothermalenergyst. peter sandstoneillinois basinddudeep direct-useuniversity of illinois at urbana-champaign3-dgeocellular modelingfeasibilitycharacterizationillinois3dstructuralgeologymodelreservoirgeologicthermalhydrologicmechanicalpropertiespetrophysicalthermal conductivityspecific heat capacityheat capacityporositydensitypermeabilitythicknessdepthmt simon

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

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

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

Deep Direct-Use Feasibility Study Numerical Modeling and Uncertainty Analysis using iTOUGH2 for West Virginia University

Dec 20, 2019
384.67 MB
Publicly accessible
To reduce the geothermal exploration risk, a feasibility study is performed for a deep direct-use system proposed at the West Virginia University (WVU) Morgantown campus. This study applies numerical simulations to investigate reservoir impedance and thermal production. Because of...
Authors
Garapati, N. et al West Virginia University
geothermalwvutuscaroraitough2lbnlreservoir flow modelpermeabilityfracturematrixuncertainty analysisnumerical modelingmonte carlofirst-order-second-moment uncertainty propagation analysisfeasibilityddudeep direct-usemorgantownreservoir impedancethermal productionresource potentialthermal breakthroughpermeability modelseconomic analysispapergeothermicsgeothermal exploration riskexploration riskmodelingeconomicdirect usewest virginia universitytuscarora sandstoneflow modeluncertaintyanalysissimulationflow

Environmental Impact Calculations for Geothermal DDU system on WVU Campus

Mar 18, 2020
43.3 kB
Publicly accessible
This dataset contains all the inputs used and output produced from Matlab for the environmental analysis of an improved hybrid geothermal district heating and cooling (GDHC) system with a heat pump, without a heat pump, and for a hot water GDHC. Detailed descriptions of the conten...
Authors
Garapati, N. et al West Virginia University
geothermalenergywest virginia universitynatural gas boilersenvironmentenvironmentalassessmentgdhcheat pumphybridnatural gasmatlabhot waterdduwvucoalmodelingeainjection testflowco2

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

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
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