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Showing results 1 - 14 of 14.
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Deep Direct-Use Feasibility Study Numerical Modeling and Uncertainty Analysis using iTOUGH2 for West Virginia University

Dec 20, 2019
384.67 MB
Publicly accessible
To reduce the geothermal exploration risk, a feasibility study is performed for a deep direct-use system proposed at the West Virginia University (WVU) Morgantown campus. This study applies numerical simulations to investigate reservoir impedance and thermal production. Because of...
Authors
Garapati, N. et al West Virginia University
geothermalwvutuscaroraitough2lbnlreservoir flow modelpermeabilityfracturematrixuncertainty analysisnumerical modelingmonte carlofirst-order-second-moment uncertainty propagation analysisfeasibilityddudeep direct-usemorgantownreservoir impedancethermal productionresource potentialthermal breakthroughpermeability modelseconomic analysispapergeothermicsgeothermal exploration riskexploration riskmodelingeconomicdirect usewest virginia universitytuscarora sandstoneflow modeluncertaintyanalysissimulationflow

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

University of Illinois Campus Deep Direct-Use Feasibility Study Porosity and Permeability of Rock Formations

Mar 30, 2018
93.1 kB
Publicly accessible
Porosity and permeability data from published and unpublished sources for the St. Peter and Mt. Simon Sandstones in the Illinois Basin.
Authors
Damico, J. et al University of Illinois
geothermalenergyddudeep direct-useuniversity of illinoisillinois basinst. peter sandstoneporositypermeabilitymt. simon sandstoneoil and gas well

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

University of Illinois Campus Deep Direct-Use Feasibility Study Geological Characterization of the Mt. Simon Sandstone

Mar 30, 2018
Size unavailable
Publicly accessible
These studies undertook detailed analyses of the Mt. Simon Sandstone in the Illinois Basin for geological storage and sequestration, and brine extraction.
Authors
Lin, Y. et al University of Illinois
geothermalenergyddudeep direct-useuniversity of illinoismt. simon sandstoneco2carbon dioxidesequestrationgeologydiagenesisplumereservoir modelingreservoir characterizationdepositionchampaign countydecaturillinois basin

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

GEOPHIRES Simulations for Deep Direct Use (DDU) Projects

Jun 30, 2020
186.36 kB
Publicly accessible
This folder contains the GEOPHIRES codes and input files for running the base case scenarios for the six deep direct-use (DDU) projects. The six DDU projects took place during 2017-2020 and were funded by the U.S. Department of Energy Geothermal Technologies Office. They investiga...
Authors
Beckers, K. National Renewable Energy Laboratory
geothermalenergyddugeophiresdeep direct uselcoheconomicsabsorption chillersubsurface storagetechno-economiclevelized cost of heatwellboreexperimentcostsimulationmodelingreservoirtemperaturetechnologyabsorptionportland basinillinois basinwvuwest virginia universitywest virginiaportlandoregonchampagne-urbanaillinoisuniversity of illinoisurbana-champaignchampaign-urbanacornellhawthornenevadaporosityflowthermal conductivityinjection testdrillingwell data

University of Illinois Campus Deep Direct-Use Feasibility Study Preliminary Geothermal Reservoir Model

May 08, 2018
11.31 GB
Publicly accessible
Preliminary geothermal reservoir simulations were performed using a homogeneous static model to evaluate and understand the effects of fluid and rock properties that could influence the delivery of thermal energy in a doublet system. A 5000 feet by 5100 feet by 500 feet homogeneou...
Authors
Okwen, R. University of Illinois
geothermalenergyddudeep direct-useuniversity of illinoisillinois basinreservoir modelstatic modelvip landmark

University of Illinois Campus Deep Direct-Use Feasibility Study Thermal Properties of Geologic Formations in Illinois Basin

Mar 30, 2018
Size unavailable
Publicly accessible
Thermal property data for rocks and and minerals and unconsolidated (glacial) sediments units from within and outside the Illinois Basin were compiled for modeling heat transport in the subsurface.
Authors
Lin, Y. et al University of Illinois
geothermalenergyddudeep direct-useuniversity of illinoisillinois basinthermal propertiesgeologic formationsthermophysics

Geocellular model of St. Peter Sandstone for University of Illinois at Urbana-Champaign DDU Feasibility Study

Dec 31, 2018
68.79 MB
Publicly accessible
The geocellular model of the St. Peter Sandstone was constructed for the University of Illinois at Urbana-Champaign DDU feasibility study. Starting with the initial area of review (18.0 km by 18.1 km [11.2 miles by 11.3 miles]) the boundaries of the model were trimmed down to 9.7 ...
Authors
Damico, J. University of Illinois
geothermalenergyst. peter sandstoneillinois basinddudeep direct-useuniversity of illinois at urbana-champaign3-dgeocellular modelingfeasibilitycharacterizationillinois3dstructuralgeologymodelreservoirgeologicthermalhydrologicmechanicalpropertiespetrophysicalthermal conductivityspecific heat capacityheat capacityporositydensitypermeabilitythicknessdepthmt simon

Geocellular Model of Mt. Simon Sandstone for University of Illinois at Urbana-Champaign DDU feasibility study

Dec 31, 2018
111.49 MB
Publicly accessible
The geocellular model of the Mt. Simon Sandstone was constructed for the University of Illinois at Urbana-Champaign DDU feasibility study. Starting with the initial area of review (18.0 km by 18.1 km [11.2 miles by 11.3 miles]) the boundaries of the model were trimmed down to 9.7 ...
Authors
Damico, J. University of Illinois
geothermalenergygeocellular modelingmt. simon sandstoneillinois basinddudeep direct-use3-duniversity of illinois at urbana champaignfeasibilitycharacterizationillinoisstructuralgeologygeologicmodeldensityporositypermeabilitythermal conductivityheat capacitythicknessdepthst. peterthermalhydrologicmechanicalpetrophisicalproperties3dreservoir

Dynamic Earth Energy Storage: Terawatt-Year, Grid-Scale Energy Storage using Planet Earth as a Thermal Battery (GeoTES): Seedling Project Final Report

May 31, 2019
4.48 MB
Publicly accessible
Grid-scale energy storage has been identified as a needed technology to support the continued build-out of intermittent renewable energy resources. As of April 2017, the U.S. had approximately 24.2 GW of energy storage on line, compared to 1,081 GW of installed generation capacity...
Authors
McLing, T. et al Idaho National Laboratory
energy storagegeothermal energythermal energy storagegeotestestemperatureporositymodelingsteamrankine cycleflue gasheatrecoverythermalhydrologylinear stabilitydirect usegoethermalbrinegrid stabilizationinjection testweber formationweber sandstonertes

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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