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Final Report Earth Source Heat: A Cascaded Systems Approach to DDU of Geothermal Energy on the Cornell Campus

Oct 27, 2019
4.08 MB
Publicly accessible
The purpose of this document is to describe the contents contained within Geothermal Data Repository (GDR) node of the National Geothermal Data System (NGDS) that serves as the final report for the project "Earth Source Heat: A Cascaded Systems Approach to DDU of Geothermal Energy...
Authors
Tester, J. et al Cornell University
geothermalenergycornell universitydistrict heatingdirect-use heatingappalachian basinnew york statelow-temperature geothermalreservoir simulationtechno-economic analysisuncertainty analysisexternality valuesenvironmental valueeconomic valuedirect useddulevelized cost of heatlcoheconomiceaheat pumpghptemperatureearth source heatsubsurface data

University of Illinois Campus Deep Direct-Use Feasibility Study Subsurface Temperature Profile

Jun 13, 2018
128.44 kB
Publicly accessible
High resolution fiber-optic distributed temperature sensing logs from the Illinois Basin Decatur Project (IBDP) in Decatur, IL were used to model the thermal profile in the Illinois Basin.
Authors
Lin, Y. et al University of Illinois
geothermalenergyddudeep direct-useuniversity of illinoisillinois basintemperature profiledtsdistributed temperature sensingtemperature gradient

EGS Collab Experiment 2: Microseismic Monitoring

May 28, 2024
230 TB
Publicly accessible
This dataset contains continuous seismic waveform data recorded during stimulation and thermal circulation tests for the Enhanced Geothermal Systems (EGS) Collab Experiment #2, conducted from February to September 2022 at the Sanford Underground Research Facility in Lead, South Da...
Authors
Hopp, C. Lawrence Berkeley National Laboratory
geothermalenergymicroseismicwaveformcontinuous seismicstimulationcirculationsurf3caccelerometerhydrophoneborehole arrayegs collabraw datacontinuous waveformbinaryseedobspytechnical reportgeophysicsmicroseismicity

Utah FORGE: Laboratory Shear Experiments Linking Fault Roughness, Friction, Permeability, and P-Wave Characteristics

Aug 20, 2025
23.22 GB
Publicly accessible
This dataset contains results from five laboratory shear experiments on gneiss and granitoid samples from the Utah FORGE site, conducted at Penn State University. The experiments investigate links between fault surface roughness, frictional behavior, permeability, and P-wave acous...
Authors
Eijsink, A. et al Pennsylvania State University
geothermalenergyfrictionroughnessutah forgeegslaboratory datamodeled datashear experimentsfault mechanicspermeabilityp-waveacoustic transmissivityfault roughnessrate-and-state frictionbiaxial deformationgneissgranitoidoptical profilometrykeyencersfit3000mechanical dataacoustic datafault zone propertiesgeomechanicsrock physicsgeothermal reservoir characterization

2016 Passive Seismic Imaging of the Dixie Valley Geothermal Well Field for EGS Favorability and Fault Mapping

Nov 01, 2015
343.78 MB
Publicly accessible
This submission provides reports on the results of seismic data analyses, statistical data sets of rock properties under the DVGWF, GIS data for new maps of EGS favorability, and a link to raw seismogram data archived by the IRIS-DMS.
Authors
Louie, J. et al University of Nevada, Reno
geothermalenergydixie valleynevadapassiveseismicreflectionegsfaultfavorabilitygeospatial dataarcgisgispsdcwtcdpgeophysicsgeophysicalinterferometryambient noisetechnical reportreportseismogramraw

Final Report: Low Temperature Geothermal Play Fairway Analysis for the Appalachian Basin

Nov 18, 2015
31.13 MB
Publicly accessible
This is a final report summarizing a two-year (2014-16) DOE funded Geothermal Play Fairway Analysis of the Low-Temperature resources of the Appalachian Basin of New York, Pennsylvania and West Virginia. Collaborators included Cornell University, Southern Methodist University, and ...
Authors
E. Jordan, T. Cornell University
geothermalappalachian basinnew yorkpennsylvaniawest virginiadistrict heatingdeep direct uselow-temperaturereservoirproductivityfavorabilityreservoir productivity indexreservoir flow capacitygpfa-abgeothermal play fairway analysisthermal analysisresource assessmentheat flowthermal conductivitygeothermsheat utilizationsurface leveled cost of heatlcohslcohdemandgeophirescombined risk segment mapsrisk analysisinduced seismicityfaultspotential fieldswaveletsbht correctionslow temperature

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

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

Cornell Ithaca Campus heat use data for a model year

Nov 13, 2019
2.07 MB
Publicly accessible
Hourly steam use data for all significant buildings from the fiscal year (FY) 2017 (1 July 2016 30 June 2017) are provided. The total annual campus heating load in FY 2017 was about 0.81 trillion Btu (283,000 MWth-hrs). The data are presented as a spreadsheet, detailing on an ho...
Authors
Beyers, S. and Gustafson, J. Cornell University
geothermalenergycornell universitydistrict heatingdirect-use heatingnew york stateenergy meteringbuilding heat demandappalachian basinlow-temperature geothermalddusteam datadirect useheat pumpghptemperatureearth source heateaenvironmentenvironmentalassessmentheatingsteam use data

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

Subsurface Geological Information and Models in support of Feasibility Study of Direct District Heating for the Cornell Campus Utilizing Deep Geothermal Energy

Oct 27, 2019
3.29 MB
Publicly accessible
This purpose of this set of entries is to group together the materials and analytical methods used in the assessment of the natural rock properties within and surrounding two potential reservoirs.
Authors
Jordan, T. et al Cornell University
geothermalenergycornell universitylow-temperature geothermalreservoir simulationuncertainty analysisdistrict heatingdirect useappalachian basinnew york statetechno-economic analysislevelized cost of heat lcohexternality valuesenvironmental valueeconomic valueddueaenvironmentenvironmentalassessmenttemperaturelcohlevelized cost of heateffective porosityheat pumpghpwell datacharacterizationshale neutron porositycornell

Sedimentary Geothermal Feasibility in Eastern Nevada and Millard County, Utah Well Databases

Nov 30, 2019
8.57 MB
Publicly accessible
In order to gather data to assess sedimentary geothermal feasibility in Nevada and Utah, state oil and gas and geothermal databases were serached for well files and well logs. Well data from the Nevada Bureau of Mines and Geology oil and gas and geothermal databases was mined for ...
Authors
Taverna, N. National Renewable Energy Laboratory
geothermalenergysedimentaryfeasibilitywell datatemperaturepermeabilityformationdepthsedimentary basinpavant butteelko basinsteptoe basinrailroad valleybacon flatmarys riverdiamond valleyblackburnn. willow creeknorth willow creektomera ranchblack rock desertmillard countysedgeo

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

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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