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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

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

Model results and data for Nontechnical Barriers to Geothermal Development

Jul 25, 2022
73.96 kB
Publicly accessible
Data included in this submission support the analysis conducted for the report "Nontechnical Barriers to Geothermal Development" which is linked bellow. These data include information about the power purchase agreements (PPAs) analyzed for the report, inputs and model results for ...
Authors
Rabinowitz, H. et al Pacific Northwest National Laboratory
geothermalenergyppapro formanontechnical barriersexcelprocessed dataostipower purchase agreementfeasibilityeconomiccostregression analysisassessmentu.s. department of energy office of scientific and technical informationelectricitypower production

Resource Analysis for Deep Direct-Use Feasibility Study in East Texas, Part 2

Mar 01, 2019
3.53 MB
Publicly accessible
The National Renewable Energy Laboratory, Southern Methodist University Geothermal Laboratory, Eastman Chemical, Turbine Air Systems, and the Electric Power Research Institute are evaluating the feasibility of using geothermal heat to improve the efficiency of natural gas power pl...
Authors
Richards, M. et al Southern Methodist University
geothermalenergyeast texasheat flowsmusouthern methodist universitymemodeep direct-usegeological variabilitytravis peakpermitreservoireastman chemicalcross-sectionsabine upliftheatflownreltxdduthermal conductivitypermittingregulatory agenciesland accesssurface watersurface heat flowgeologic variability evaluation

Nevada Great Basin Play Fairway Analysis Regional Data

Oct 28, 2015
260.6 MB
Publicly accessible
This project focused on defining geothermal play fairways and development of a detailed geothermal potential map of a large transect across the Great Basin region (96,000 km2), with the primary objective of facilitating discovery of commercial-grade, blind geothermal fields (i.e. ...
Authors
Faulds, J. Nevada Bureau of Mines and Geology
geothermalnevadaearthquakesquaternary faultsgeodetic straingravityfavorabilitypermeabilitywellsspringsstructurestransmission linesexplorationwildernessheatiso 240iso 267hgmgravity stationsstrain ratemt stationsquaternaryfaultsslip ratesummed slipdilation tendencyerrordirect evidenceinputmodeldegree of explorationmagnitudedepthlocationfairwaybenchmarks130ccombined permeabilityfaultbufferexploration opportunitiesanomalous valuespower plantsgreat basingeothermal systems3kmtemperature modelquaternary faultrecencystudyhorizontalgradient2.40g/ccphase 2second invarianthorizontal gravity gradientregional permeabilityearthquakedilation potentialslip ratesslip tendencysummed dilationfault namepowertransmission20kmtemperaturegeothermometerforest serviceblmusfsndotroadsmxdmaparcgismpkmap packagenv great basingeospatial datadataarc

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

Resource Analysis for Deep Direct-Use Feasibility Study in East Texas

Jun 28, 2018
20.79 MB
Publicly accessible
The National Renewable Energy Laboratory, Southern Methodist University Geothermal Laboratory, Eastman Chemical, Turbine Air Systems, and the Electric Power Research Institute are evaluating the feasibility of using geothermal heat to improve the efficiency of natural gas power pl...
Authors
Richards, M. et al Southern Methodist University
geothermalenergyeast texastravis peaksabine uplifthosstonsligocotton valleylongvieweastman chemicalreservoir productivity indexrpiheatflowheat flowsmusouthern methodist universitynrelbottom hole temperaturebhtabsorption chillpresentationmemodatapaperpublicationjournal articleddutxfeasibilitydeep direct-use

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