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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

Literature Collection for the Evaluation Of Physics-Based Drilling and Alternative Bit Design At The Geysers

Jan 20, 2026
Size unavailable
Publicly accessible
This submission contains links to multiple publications on the Evaluation Of Physics-Based Drilling and Alternative Bit Design At The Geysers. The long-term goal of the project was to safely implement oil and gas industry drilling best-practices, particularly with respect to limit...
Authors
Wriedt, J. Geysers Power Company, LLC
geothermalenergygeyserspublicationsphysics-based drillingbit designlimiter redesignelectronic drilling recordsbit technologycontrol strategies

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

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

Pilgrim Hot Springs: GEOPHIRES Inputs and Outputs for Direct-Use Geothermal District Heating and Cooling

Mar 21, 2024
211.86 kB
Publicly accessible
This dataset includes files for a techno-economic analysis conducted using the GEOPHIRES simulator to examine the feasibility of expanding a larger district heating site in a remote location: Pilgrim Hot Springs, Alaska. Files included here are GEOPHIRES inputs and outputs for fiv...
Authors
Pauling, H. et al National Renewable Energy Laboratory
geothermalenergygeophireschporcparallel cycletopping cyclepilgrim hot springsalaskatechno-economic analysisfeasibilityteareservoir simulationsheat demandcapitaloperating costsdistrict geothermaldistrict heatingmodelmodelingpythongithubinputsoutputs

DEEPEN Leapfrog Geodata Model Cleaned and Reformatted Exploration Datasets from Newberry Volcano

Jun 30, 2023
413.96 MB
Publicly accessible
DEEPEN stands for DE-risking Exploration of geothermal Plays in magmatic ENvironments. As part of the DEEPEN 3D play fairway analysis (PFA) conducted at Newberry Volcano for multiple play types (conventional hydrothermal, superhot EGS, and supercritical), existing geoscientific e...
Authors
Pauling, H. et al National Renewable Energy Laboratory
geothermalenergydeepensuperhotsupercriticalsuperhot egsnewberrymagmatichydrothermalpfaprocessed dataexplorationcharacterizationdatasetsgeodata3dmodelingdemlidarmtmagnetotelluricsgravitydensityresistivityearthquake catalogseismicvelocitytemperature modelgeologic modelalteration modelwell data
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  • The GDR provides free access to data generated from projects funded by the U.S. Department of Energy's Office of Geothermal.
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