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FedGeo Project: Low-Temperature Geothermal Resources at the U.S. Army Detroit Arsenal, Warren, Michigan

Sep 29, 2026
119.99 MB
In progress
This collection includes datasets used for the analyses and modeling of low-temperature geothermal resources at the U.S. Army's Detroit Arsenal located in Warren, Michigan. This project file includes tabular and geospatial data accessed from publicly available repositories held by...
Authors
University of Illinois Urbana-Champaign
geothermalenergydetroit arsenalmichiganmodelinggeophysicsdrillingfedgeogeologyhydrogeologylow temperature

DEEPEN Data Catalog for Magmatic Geothermal Systems in the United States

Sep 30, 2021
1.88 MB
Publicly accessible
This data catalog contains information related to the Training Site Analysis for the Geothermica project "DE-risking Exploration of geothermal Plays in magmatic ENvironments (DEEPEN)." The DEEPEN project aims to reduce exploration risk for geothermal fluids in magmatic systems by ...
Authors
Kolker, A. et al National Renewable Energy Laboratory
geothermalenergyworld volcanic centerspfaplay fairwaydeepenmagmatic environmentsexplorationdata catalogmagmaticcosoaleutianscascadeshawaiioregoncaliforniasnake river plainsrpwashingtonnewberryvolcanicvolcanogeyserssupercriticalcharacterizationgeophysicsgeologygeochemistrytemperaturewell datamodelinggroundwaterremote sensing

A Conceptual Geologic Model for the Newberry Volcano EGS Site in Central Oregon: Constraining Heat Capacity and Permeability through Interpretation of Multicomponent Geosystems Data

Feb 22, 2016
Size unavailable
Publicly accessible
Newberry Volcano, a voluminous (500 km3) basaltic/andesitic/rhyolitic shield volcano located near the intersection of the Cascade volcanic arc, the Oregon High Lava Plains and Brothers Fault Zone, and the northern Basin and Range Province, has been the site of geothermal explorati...
Authors
Mark-Moser, M. et al National Energy Technology Laboratory
geothermalegsenhanced geothermal systemnewberryoregonnewgenmodelgeologygeophysicsconceptual modelmodelingconceptualgeologicheat capacitypermeabilitygeophysicalmulticomponentvolcano

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

GeoVision Barriers Taskforce

Sep 30, 2015
55.69 kB
Publicly accessible
This submission includes papers, presentations, and data developed during the multi-year GeoVision Barriers Taskforce effort. Developers have identified many non-technical barriers to geothermal power development, including land access, permitting, and market barriers. Included i...
Authors
Young, K. and Levine, A. National Renewable Energy Laboratory
geothermalenergybarrierscostspermitpermittingregulatorytimelinesocial acceptanceregulationreedsgeovisionsocio-economicssocialeconomicssocio-economicseatsocio-economic assessment toolgeoreportbarriers expert teamland accesstransmissionmarketcosteconomiceaenvironmentalassessmentculturaltribalbiologicalregulatory frameworkstatefederalleasinggeothermal resource potentialdevelopment timelinesnepamarket barriersincentive

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

Structural Controls of the Tuscarora Geothermal Field, Elko County, Nevada MS Thesis

May 31, 2013
17.99 MB
Publicly accessible
Detailed geologic mapping, structural analysis, and well data have been integrated to elucidate the stratigraphic framework and structural setting of the Tuscarora geothermal area. Tuscarora is an amagmatic geothermal system that lies in the northern part of the Basin and Range pr...
Authors
Dering, G. and Faulds, J. University of Nevada
geothermalgreat basinbasin and rangestructural controlstuscarora geothermal areastep-overaccommodation zonethesisthesis paperelko countynevadanvtuscarora geothermal fieldtuscarorastratigraphygeologic mapgeologystructural analysiswell datastructural geologydrill-hole datafault intersection

Structural Controls of the Neal Hot Springs Geothermal System, Eastern Oregon

May 31, 2013
35.08 MB
Publicly accessible
Detailed geologic mapping (1:24,000 scale), structural and geochemical analyses, and integration of available geophysical and well-field data were utilized to assess the structural controls of the Neal Hot Springs geothermal field in eastern Oregon. The geothermal field lies withi...
Authors
Edwards, J. and Faulds, J. University of Nevada
geothermalneal hot springs geothermal areastructural controlsbasin and rangegreat basinoregonfault intersectionneal hot springsneal hot springs geothermal fieldeastern oregonorstratigraphygeologic mapgeologystructural analysisstructural geologywell datadrill-hole data

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

Publications and Datasets from Play-Fairway Retrospective Analysis with Emphasis on Developing Improved Hydrothermal Energy Assessments

Feb 07, 2023
Size unavailable
Publicly accessible
Previous moderate and high-temperature geothermal resource assessments of the western United States utilized data-driven methods and expert decisions to estimate resource favorability. Although expert decisions can add confidence to the modeling process by ensuring reasonable mode...
Authors
Mordensky, S. et al United States Geological Survey
geothermalenergypfahydrothermalenergy assessmentresource assessmentretrospectivemachine learninggeosciencewestern usdata-drivenbias reductionfavorabilitymappingegslow tempprocessed dataresourcecharacterization

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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