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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

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

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

Closed Loop Geothermal Working Group: GeoCLUSTER App, Subsurface Simulation Results, and Publications

Feb 03, 2023
177.77 MB
Curated
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

Economic Impact of Permitting Timelines on Produced Geothermal Power

Feb 15, 2022
469.81 MB
Publicly accessible
Despite having a large geothermal power potential in the United States, only a small fraction has been developed for power generation. Various barriers, including technical, financial, and regulatory permit delays, are attributed to lower contribution of geothermal energy in the n...
Authors
Neupane, G. and Adhikari, B. Idaho National Laboratory
geothermalenergypermittingnepaceqasalton sea geothermalsalt wells geothermaltruckhaven geothermalcove fort geothermalpermitting timelinestimelinespermitnon-technicalbarriersreport

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

Utah FORGE: 3D Gravity Data

Jun 24, 2019
11.24 MB
Publicly accessible
These resources describe the 3D geophysical inversion modeling of gravity data at the FORGE site near Milford, Utah. FORGE is the Frontier Observatory for Research in Geothermal Energy and the site in Utah has been selected by the U.S. Dept. of Energy for a 5-year R&D program to t...
Authors
Hardwick, C. and Witter, J. Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forge3d gravity datagravity datautah forge gravity datautah geothermalcomplete bouguerdensity modelgravityterrestrial gravity surveyobserved gravityforgegeophysics3d3d model3d gravitygravity anomalyegsmilfordinversionmodellinginverseroosevelt hot springsbougertop of granitedensitysurveysimple bougerfree airterrain correctiongeologiccorrectioncorrectedutahmodelmodeling

Coso Geothermal Spectral Library for Rocks and Minerals

Aug 23, 2023
380.31 MB
Publicly accessible
An integrated open mineral spectral library designed to enhance the utility and precision of mineral spectral data for geothermal exploration, developed from a reliable and comprehensive digital dataset for seamless sharing by integrating field data, the USGS spectral library, and...
Authors
Cavur, M. et al Mining Engineering Department of Colorado School of Mines
geothermalenergyhydrothermalspectroscopyspectral databasecosogeologycoso geothermal fieldgcfcaliforniaspectral libraryhydrothermal alterationalteration mineralsspectral dataelemental enrichmentscanning electron microscopyx-ray fluorescencespectrometry

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

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

Silver Peak Innovative Exploration Project (Ram Power Inc.)

Jan 01, 2010
463.6 MB
Publicly accessible
Data generated from the Silver Peak Innovative Exploration Project, in Esmeralda County, Nevada, encompasses a deep-circulation (amagmatic) meteoric-geothermal system circulating beneath basin-fill sediments locally blanketed with travertine in western Clayton Valley (lithium-rich...
Authors
Miller, C. Ram Power, Inc.
geothermalsilver peakgravitymagneticmtradiometricsregional temperatureremote sensingresource modelseismicfluid datawell dataphotosgeologywalker lanelate miocenepliocenelone mountainesmeralda countynevadagravity surveygridterrain5km10kmupward continued regional residualbougerhorizontal gravity gradientnorth americaimperial countymagnetic reporttmiigrftotal magentic intensitymagnetotelluric surveymt surveyresistivity3dground mtztemradiometric survey silver peak20102011temperatureshallow temperature gradienttemperature gradient holestghasterphotographs2dseismic reflection surveyfaultsmesquitefluidchemistrygeologymapgeospatial data

Deep Direct-Use Feasibility Study Computed Tomography (CT)-scanned data Analysis for the Tuscarora Sandstone at the National Energy Technology Laboratory

Jan 10, 2020
40.99 GB
Publicly accessible
The computed tomography (CT) facilities at the National Energy Technology Laboratory (NETL) Morgantown, West Virginia site were used to characterize core of the Tuscarora Sandstone from a vertical well in Preston County WV, the Preston-119 from a depth of 7,165 to 7,438 ft. The pr...
Authors
Brown, S. et al West Virginia University
geothermalenergyappalachian basinwvuwvgestuscarora sandstonecomputed tomographyimage jctct scannercharacterizationcore sampleslithologydensity valuesddudeep direct usefeasibilitycorepres-119preston 119clay 513harrison 79fracture volume

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

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
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