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PoroTomo: BRAD, BRD1, and BRDY GPS Station RINEX Files April 26, 2016

Apr 26, 2016
25.58 kB
Publicly accessible
This dataset provides links to daily RINEX files for two GPS stations at Brady's Hot Springs as of April 26, 2016. The data is formatted as compressed GNSS RINEX observation files, accessible through formatted CSV files, as well as in links to the complete daily time series data. ...
Authors
Kreemer, C. University of Nevada
geothermalgeodesygpsbradbrdyrinexbrd1bradyporotomoftp locationfieldnevadabradys hot springs

Machine Learning to Identify Geologic Factors Associated with Production in Geothermal Fields: A Case-Study Using 3D Geologic Data from Brady Geothermal Field and NMFk

Oct 01, 2021
5.68 MB
Publicly accessible
In this paper, we present an analysis using unsupervised machine learning (ML) to identify the key geologic factors that contribute to the geothermal production in Brady geothermal field. Brady is a hydrothermal system in northwestern Nevada that supports both electricity producti...
Authors
Siler, D. et al United States Geological Survey
geothermalenergynmfkbrady hot springsmachine learningmlbhsnonnegative matrix factorization k-meanshydrothermalbradyk-meansclusteringnonnegative matrix factorizationmatrix factorizationgeothermalcloudsmarttensorsunsupervised3d well data3d geologic mapgeologic structurefaultsstressgeologycharacterizationgeologic modelproductioncode

Cornell University Borehole Observatory Wireline Geophysical Logs

Jul 21, 2026
8.84 MB
In progress
This data set includes wireline geophysical data from well Cornell ESH #1 (API 31109300030000), known as the Cornell University Borehole Observatory, or CUBO. It is a stratigraphic well drilled to characterize potential EGS resources. The Drilling commenced on June 21, 2022 and to...
Authors
Tester, J. et al Cornell University
geothermalenergycornell universitycuboddudeep direct usedistrict heatingdeep wellwell datadrillingesh-1api 31109300030000raw dataappalachian basin

Cornell University Borehole Observatory Wireline Sonic Logs

Jul 21, 2026
6.32 MB
In progress
This data set includes wireline geophysical data from well Cornell ESH #1 (API 31109300030000), known as the Cornell University Borehole Observatory, or CUBO. It is a stratigraphic well drilled to characterize potential EGS resources. The Drilling commenced on June 21, 2022 and to...
Authors
Tester, J. et al Cornell University
geothermalenergycornell universitycuboddudeep direct usedistrict heatingdeep wellwell datadrillingesh-1api 31109300030000raw dataappalachian basin

Risk Factor Analysis in Low-Temperature Geothermal Play Fairway Analysis for the Appalachian Basin (GPFA-AB)

Sep 30, 2015
612.79 MB
Publicly accessible
This submission contains information used to compute the risk factors for the GPFA-AB project. The risk factors are natural reservoir quality, thermal resource quality, potential for induced seismicity, and utilization. The methods used to combine the risk factors included taking ...
Authors
E., T. Cornell University
geothermalappalachian basinwest virginianew yorkpennsylvaniadistrict heatinglow-temperaturedeep direct usecombined risk segment maprisk analysisgeothermal play fairway analysisgpfa-abpfarastershapefileshape filearcgisgisgeospatial dataseismicseismicityrisklow temperaturerisk factorplay fairway analysis

Improvements in 2016 to Natural Reservoir Analysis in Low-Temperature Geothermal Play Fairway Analysis for the Appalachian Basin

Aug 18, 2016
128.01 MB
Publicly accessible
*These files add to and replace same-named files found within Submission 559 (hover over file display names to see actual file names in bottom-left corner of screen)* The files included in this submission contain all data pertinent to the methods and results of a cohesive multi-st...
Authors
Camp, E. Cornell University
geothermalappalachian basinnew yorkpennsylvaniawest virginiadistrict heatingdeep direct uselow-temperaturereservoirproductivityfavorabilityreservoir productivity indexreservoir flow capacityrpi rfcgpfa-abpfageothermal play fairway analysisexplanationmetadatafile descriptionmethodsreservoirssensitivity analysismonte carloshapefilegisgeospatial datanypawvcounty boundariescsvnortheastern united stateslow temperature

Utah FORGE: Stress Logging Data

Mar 14, 2018
814.17 kB
Publicly accessible
This spreadsheet consist of data and graphs from deep well 58-32 stress testing from 6900 7500 ft depth. Measured stress data were used to correct logging predictions of in situ stress. Stress plots shows pore pressure (measured during the injection testing), the total vertical in...
Authors
McLennan, J. Energy and Geoscience Institute at the University of Utah
geothermalenergywell 58-32stress58-32 stressstress test58-32 stress data58-32 stress testutah forgeutahroosevelt hot springsutyoungs moduluspoisson ratiodynamicpressurepore pressuresh maxverticalhorizontalstress loglogginglogdataforgeegsrock propertiesrock propsgeomechanicswell datain situ stressresourcecharacterizationmilfordstress plot

Water Use in Enhanced Geothermal Systems (EGS): Geology of U.S. Stimulation Projects, Water Costs, and Alternative Water Use Policies

Dec 16, 2014
2.32 MB
Publicly accessible
According to the Energy Information Administration (EIA) of the U.S. Department of Energy (DOE), geothermal energy generation in the United States is projected to more than triple by 2040 (EIA 2013). This addition, which translates to more than 5 GW of generation capacity, is anti...
Authors
Harto, C. et al Argonne National Laboratory
geothermalegsenhance geothermal systempowergeologyalternative waterpolicywaterwater usedesert peakthe geysersnewberrynewberry volcanoraft river

Utah FORGE: Well 16A(78)-32 Planned Trajectory

Mar 24, 2020
3.58 kB
Publicly accessible
This submission includes an Excel spreadsheet containing the Utah FORGE deep well 16A(78)-32 planned trajectory including UTM coordinates, elevations, and depths from the well head to the toe. This proposed new injection well is expected to descend vertically to a depth of approxi...
Authors
Podgorney, R. and Nash, G. Idaho National Laboratory
geothermalenergywell 16a78-32utah forgeforgewell 16a78-32 trajectory16a78-32 well planwell datatrajectoryegsgeospatial dataplanneddepthlocationwell location16a78-32injectioninjection test

Hourly Thermal Load Profiles for U.S. Manufacturing Subsectors

Apr 24, 2026
3.92 MB
Publicly accessible
This dataset includes a consistent framework of annual, quarterly, and hourly energy demand and operational profiles for 63 U.S. manufacturing subsectors defined by NAICS classification, building on the county-level demand dataset "Updated U.S. Low-Temperature Heating and Cooling ...
Authors
Oh, H. et al National Laboratory of the Rockies
geothermalenergythermal energy demandindustrial energy demandmanufacturingu.s. manufacturingnaicseia mecsqpchourly load profilesoperating schedulescapacity utilizationprocess heatingprocess coolingrefrigerationboiler usefacility heatingfacility coolingend-use energyfuel typeprocessed data

Geothermal Development and the Use of Categorical Exclusions Under NEPA

Sep 30, 2014
6.8 MB
Publicly accessible
This study focuses primarily on the Categorial Exclusions (CX) process and its applicability to geothermal exploration. In this paper, we: Provide generalized background information on CXs, including previous NEPA reports addressing CXs, the process for developing CXs, and the ro...
Authors
Young, K. and Levine, A. National Renewable Energy Laboratory
geothermalenergyregulatorynepacategorical exclusionfonsipermitpermittingeaenvironmentalassessmentblmbureau of land managementfinding of no significant impactnational environmental policy actadministrativestatutory

Analyzed Boise Data for Oscillatory Hydraulic Tomography

Jul 01, 2015
4.76 MB
Publicly accessible
Data here has been "pre-processed" and "analyzed" from the raw data submitted to the GDR previously (raw data files found at http://gdr.openei.org/submissions/479. doi:10.15121/1176944 after 30 September 2017). First, we submit .mat files which are the "pre-processed" data (must h...
Authors
Lim, D. University of Wisconsin
geothermaloscillatory pumpingboisehydraulic tomographyfourier analysisidahoporotomobhrsanalyzedmatlabhydrogeophysicalpressure datapressurewell testwellhydrologyoscillatory flowaquifer characterizationreservoir characterizationpressure testfouriercoefficientsprocessed datapre-processed data

Rare Earth Element Concentrations from Wells at the Don A. Campbell Geothermal Plant, Nevada

Dec 09, 2016
731.5 kB
Publicly accessible
* Requires permission of originators for use. Rare earth element concentrations in thermal springs from the wells at the Don A. Campbell geothermal plant, Nevada. Samples taken from geothermal wells 85-11, 65-11, 54-11, and 64-11. Includes pH and concentrations for Cerium, Dyspros...
Authors
Fowler, A. and Zierenberg, R. University of California
geothermalnevadadon a. campbellrare earth elementsbrinereemineral countyconcentrationsaqueous chemistrythermal springsusgin content modelngds content modelcedyereugdholalundprsmtbtmyyb

PoroTomo Natural Laboratory Horizontal and Vertical Distributed Acoustic Sensing Data

Mar 29, 2016
342.13 TB
Publicly accessible
This dataset includes links to the PoroTomo DAS data in both SEG-Y and hdf5 (via h5py and HSDS with h5pyd) formats with tutorial notebooks for use. Data are hosted on Amazon Web Services (AWS) Simple Storage Service (S3) through the Open Energy Data Initiative (OEDI). Also include...
Authors
Feigl, K. et al University of Wisconsin
geothermalporotomodasfiber opticsurface sensorsseismic arraydistributed acoustic sensingporoeleastic tomographybradys geothermal fieldgeosciencedistributed sensingdownholetrenchedseismicityhydrothermalgeophysicsoediraw datajupyter notebookpythonhdf5hsdsh5pyh5pyd

Hourly Electrical Load, Cooling Load, and Ground Heat Exchanger Performance Profiles for College Buildings in Puerto Rico

Sep 08, 2026
1.56 MB
Publicly accessible
This dataset provides the numerical source data underlying selected figures in an associated study of cooling system performance for college buildings at the University of Puerto Rico at Rio Piedras. The data include modeled cooling demand, ground heat exchanger temperatures and t...
Authors
Oh, H. et al National Laboratory of the Rockies
geothermalenergyheating and coolingcooling loadsload profilepuerto ricogeothermal heat exchangeropen-loop heat exchangerground heat exchangercold utesgeotessutraenergyplusmodeled databuilding coolingcooling loadchiller performancecopcoefficient of performanceelectricity consumptioncooling towerwater consumptionbuilding energy modelingsimulation dataprocessed data

InSAR Maps of Deformation Covering Raft River, Idaho from 2007 to 2010

Mar 11, 2007
196.13 MB
Publicly accessible
This dataset contains maps of deformation covering Raft River, Idaho from 2007 to 2010 calculated from interferometric synthetic aperture radar data. This dataset is used in the study entitled "Inferring geothermal reservoir processes at the Raft River Geothermal Field, Idaho, US...
Authors
Reinisch, E. University of Wisconsin
geothermalenergyraft river geothermal fieldinsarenvisatsatelliteinterferometric synthetic aperture radaregsreservoir developmentreservoir modeling

Renewable Energy Potential Model: Hawaii Geothermal Supply Curves

Jan 13, 2025
102.89 kB
Publicly accessible
This dataset extends the development of the Renewable Energy Potential (reV) model to include geothermal energy, with a specific focus on Hawaii. Provided here are the results of two scenarios that were modeled for geothermal energy in Hawaii: binary enhanced geothermal systems (E...
Authors
Trainor-Guitton, W. et al National Renewable Energy Laboratory
geothermalenergysupply curvegeospatialhawaiirevlevelized cost of energyhydrothermalcapital costgeothermal locationlcoeegspfaplay fairwaysimulationmodelmodel resultsheat mapbinary egsbinary hydrothermaltransmissiongrid connectiondevelopmentfeasibilityproduction metricssupply curves

Newberry EGS Literature References

Apr 22, 2016
69.94 kB
Publicly accessible
Research references to literature about the Newberry geothermal area, Oregon.
Authors
Rose, K. National Energy Technology Laboratory
geothermalegsenhanced geothermal systemnewberryoregonnewgengeophysicsgeologyhydrothermalseismicstructurep waveelectricmagnetotelluriclithologyliteraturefield guidegeologic historyvolcano hazardsframeworkpetrologyexploratory drillingslimholeexplorationflow testingdrillholestructuralactive sourceteleseismictomographyresource characterizationmagma chambercrustalvelocitygravityemelectricalcompressional wavecoremineralogy

Newberry EGS Well Logs, Earthquakes, Maps, Cross-Sections, and LiDAR Datasets

Apr 22, 2016
13.4 kB
Publicly accessible
Datasets and information used to characterize the subsurface of Newberry and support modeling efforts. Includes sources for well logs, earthquakes, maps & cross-sections, and LiDAR/DEM
Authors
Rose, K. National Energy Technology Laboratory
geothermalegsenhanced geothermal systemnewgennewberryoregonearthquakesseismicgeologic maplidardemdatasetmodelwell logearthquakeseismicitymapcross-sectionremote sensing

Chelating Resins for Selective Separation and Recovery of Rare Earth Elements from Low Temperature Geothermal Water

Dec 31, 2016
100.34 kB
Publicly accessible
Study on the use of organic ligands to extract lanthanides from low temperature geothermal water.
Authors
Callura, J. Carnegie Mellon University
geothermalrare earth elementlanthanideadsorptionmineral revcoveryselective separationlow templow temperaturechelating resinscarnegie mellongeochemistrymineralogybrinechemical propertiesphysical propertiescomposition

Geothermal Water Use: Life Cycle Water Consumption, Water Resource Assessment, and Water Policy Framework

Jun 10, 2014
2.84 MB
Publicly accessible
This report examines life cycle water consumption for various geothermal technologies to better understand factors that affect water consumption across the life cycle (e.g., power plant cooling, belowground fluid losses) and to assess the potential water challenges that future geo...
Authors
Schroeder, J. et al Argonne National Laboratory
geothermalpoweregswaterpolicyhydrothermalbinaryflashwater resource assessmentgetemlife cycle assessmentwater resourcewater consumptionegs flash

Processed Lab Data for Neural Network-Based Shear Stress Level Prediction

May 14, 2021
6.01 MB
Publicly accessible
Machine learning can be used to predict fault properties such as shear stress, friction, and time to failure using continuous records of fault zone acoustic emissions. The files are extracted features and labels from lab data (experiment p4679). The features are extracted with a n...
Authors
Marone, C. et al Pennsylvania State University
geothermalenergymatlabgeophysicsseismiccodeprocessed datamicroseismicityaiartificial intelligencedeep learningmachine learningacousticsacoustic emissionsseismic forcastingseismic predictionfaultfault propertiesshear stresstime to failureexperimentexperimental datalab databiaxial shear experimentbiaxial shear apparatusfriction

Compilation of Rare Earth Element Analyses from US Geothermal Fields and Mid Ocean Ridge Hydrothermal Vents

Oct 01, 2015
1.34 MB
Publicly accessible
Compilation of rare earth element and associated major and minor dissolved constituent analytical data for USA geothermal fields and global seafloor hydrothermal vents. Data is in original units. Reference to and use of this data should be attributed to the original authors and pu...
Authors
Fowler, A. University of California
geothermalfluid analyticalusaseafloor hydrothermalrare earth elementsaasg geothermal datausgin content modelngds content modelcontent modelaqueous chemistrygeochemistrywater chemistrychemistryreehydrothermal ventsus geothermal fieldsmid ocean ridge

Greenhouse Gas emissions from California Geothermal Power Plants

Mar 14, 2014
42.11 kB
Publicly accessible
The information given in this file represents greenhouse gas (GHG) emissions and corresponding emission rates for California flash and dry steam geothermal power plants. This stage of the life cycle is the fuel use component of the fuel cycle and arises during plant operation. Des...
Authors
Sullivan, J. Argonne National Laboratory
geothermalgreenhouse gas emissionscalifornia geothermal plantslife cycle assessmentelectricity generatedlca

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
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