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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

EGS Collab Experiment 1: Earth Model Input Files

Dec 19, 2019
411.62 MB
Publicly accessible
The EGS Collab is conducting experiments in hydraulic fracturing at a depth of 1.5 km in the Sanford Underground Research Facility (SURF) on the 4850 Level. A total of eight ~60m-long subhorizontal boreholes were drilled at that depth on the western rib of the West Access Drift. S...
Authors
Neupane, G. and Sigma-V, T. Idaho National Laboratory
geothermalenergyegs collabsurfhydraulicfracturingstimulationsanford underground research facilityexperimentegsexperimentalhydraulic fracturingsubhorizontal boreholeswest access driftgeophysical monitoringjack leg boreholesgeophonestestbed 1earth modelinputmodellingautocadgeologysensorswell databoreholehomestake minegeospatial data

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

Sep 05, 2025
6.17 MB
Publicly accessible
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

Renewable Energy Potential Model: Geothermal Supply Curves

Aug 21, 2023
4.9 MB
Publicly accessible
The Renewable Energy Potential (reV) model is a geospatial platform for estimating technical potential and developing renewable energy supply curves, initially developed for wind and solar technologies. The model evaluates deployment constraints, considering land use, environmenta...
Authors
Trainor-Guitton, W. et al National Renewable Energy Laboratory
geothermalenergysmu temperaturessupply curvegeospatialgrid infrastructureexclusionslevelized cost of electricityegsoperating costsfeasibilitymodelrevhydrothermalcapital costsgeothermal location

GEOPHIRES files for DDU techno-economic simulations

Mar 31, 2021
652.14 kB
Publicly accessible
During 2017-2019, the U.S. Department of Energy funded six geothermal deep direct-use (DDU) projects to investigate feasibility of DDU for heating, cooling and thermal storage in the United States. In a follow-on study conducted at the National Renewable Energy Laboratory (NREL), ...
Authors
Beckers, K. and Kolker, A. National Renewable Energy Laboratory
geothermalenergygeophiresdeep direct-useddueconomicstechno-economicsimulationmodelheatingcoolingenergy storagedeep direct usepythonnrelsandiacornellfeasibilitycostfinancingdefaultdgeo ti

Utah FORGE: Shut-in Wellhead Pressure Data for Wells 16A(78)-32 and 16B(78)-32

Aug 25, 2025
1.22 MB
Publicly accessible
This dataset contains wellhead pressure measurements for Utah FORGE wells 16A(78)-32 and 16B(78)-32 during two distinct shut-in periods. The first spans from September 2024 to April 2025, covering the interval between the conclusion of a 28-day circulation test and the start of a ...
Authors
McLennan, J. Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forge16a16bshut inshut-inwell head pressure16a78-3216b78-32egswell pressurepressure monitoringcirculation testworkover operationstime series datapsireservoir testingwell operationsraw data

Utah FORGE: EGS Reservoir Produced Fluids Geochemistry 2022-2024

Feb 26, 2025
1.38 MB
Publicly accessible
This dataset contains geochemical analyses of produced fluids from the Utah FORGE site, specifically from wells 16A(78)-32, 16B(78)-32, and 58-32, collected during various stimulation, flowback, and circulation tests conducted between 2022 and 2024. The data contains element conce...
Authors
Simmons, S. et al Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forgegeochemistryproduced fluids16a78-3258-32circulation testsstimulationflowback waterflowback watersstimulation testsegsreservoir monitoringdissolved gasesmineral dissolutionfluid chemistrybrine compositionchemical geothermometry16b78-32

GEOPHIRES Simulations for Deep Direct Use (DDU) Projects

Jun 30, 2020
186.36 kB
Publicly accessible
This folder contains the GEOPHIRES codes and input files for running the base case scenarios for the six deep direct-use (DDU) projects. The six DDU projects took place during 2017-2020 and were funded by the U.S. Department of Energy Geothermal Technologies Office. They investiga...
Authors
Beckers, K. National Renewable Energy Laboratory
geothermalenergyddugeophiresdeep direct uselcoheconomicsabsorption chillersubsurface storagetechno-economiclevelized cost of heatwellboreexperimentcostsimulationmodelingreservoirtemperaturetechnologyabsorptionportland basinillinois basinwvuwest virginia universitywest virginiaportlandoregonchampagne-urbanaillinoisuniversity of illinoisurbana-champaignchampaign-urbanacornellhawthornenevadaporosityflowthermal conductivityinjection testdrillingwell data

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

Utah FORGE: Groundwater Data

Jul 20, 2016
621.85 kB
Publicly accessible
This submission includes two modeled drawdown scenarios with new supply well locations, a total dissolved solids (TDS) concentration grid (raster dataset representing the spatial distribution of TDS), and an excel spreadsheet containing well data.
Authors
Moore, J. Energy and Geoscience Institute at the University of Utah
geothermalmilfordutahegsforgegroundwaterdrawdownwellsupplytdsconcentrationgeochemistrywellsconcentrationsmodelaquifertesttransducerdataflow ratescenariowater tablemodelledpredictedpotentialgeospatial dataarcgisgisshapefileshape fileutah forgelocationwell locationreservoirsupply wellroosevelt hot springsresourcecharacterizationwell data

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

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

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

Oilwell Conversion (Well API 121913310501) to Geothermal Heat Storage Well for Flexible Electricity Storage

May 05, 2021
2.86 GB
Publicly accessible
Geothermal growth is limited by a lack of geographically dispersed high-temperature thermal resources and high initial upfront investment in characterization and well construction. This project intended to address the challenges of energy supply intermittency and enhance grid resi...
Authors
Malkewicz, N. et al University of Illinois
geothermalenergycypress reservoirgeothermal modellingoilwell conversioninjection/extraction testingenergy storagegeothermal energy storagewell conversionheat storageheat storage wellsheat injectiongamma ray logspressure testtemperature datasubsurface thermalthermal storagesubsurface thermal storage

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

Appalachian Basin Temperature-Depth Maps and Structured Data in support of Feasibility Study of Direct District Heating for the Cornell Campus Utilizing Deep Geothermal Energy

Oct 29, 2019
229.82 MB
Publicly accessible
This dataset contains shapefiles and rasters that summarize the results of a stochastic analysis of temperatures at depth in the Appalachian Basin states of New York, Pennsylvania, and West Virginia. This analysis provides an update to the temperature-at-depth maps provided in the...
Authors
Smith, J. Cornell University
geothermalenergycornell universitylow-temperature geothermalreservoir simulationuncertainty analysisthermal datadistrict heatingdirect-use heatingdduappalachian basinnew york statetechno-economic analysislevelized cost of heat lcohexternality valuesenvironmental valuemonte carlo analysismonte carloeconomiceaheat pumpghpshapefilerastercornellgeospatial data

EGS Collab: Modeling and Simulation Working Group Teleconference Series (1-98)

Feb 04, 2020
11.93 GB
Publicly accessible
This submission contains the presentation slides and recordings from the first 98 EGS Collab Modeling and Simulation Working Group teleconferences. These teleconferences served three objectives for the project: 1) share simulation results, 2) communicate field activities and resul...
Authors
White, M. et al Pacific Northwest National Laboratory
geothermalenergyegs collabsurfhydraulicfracturingstimulationsanford underground research facilityexperimentegsmodelingtemperatureheat flowdtstracerpressureinjection testflowc-dots