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Hawthorne Nevada Deep Direct-Use Feasibility Study References, Reports, Literature

Mar 29, 2018
189.25 MB
Publicly accessible
The objective of this project is to use a multi-disciplinary, three-tiered approach to assess the geothermal resource and determine the feasibility of implementing a large-scale, direct-use facility for the Hawthorne Army Depot (HAD) and the various town and county facilities in H...
Authors
Lowry, T. Nevada Bureau of Mines and Geology
geothermalenergynevadadirect usedeep direct usewellsgeochemistrygeophysicsreservoir modelingquaternary faultshawthorne army weapons depotdduhawthorneel capitandrillingwell datadrilling data

Hawthorne Nevada Deep Direct-Use Feasibility Study Shallow Temperature Survey

Mar 29, 2018
1.98 MB
Publicly accessible
The objective of this project is to use a multi-disciplinary, three-tiered approach to assess the geothermal resource and determine the feasibility of implementing a large-scale, direct-use facility for the Hawthorne Army Depot (HAD) and the various town and county facilities in H...
Authors
Lowry, T. Nevada Bureau of Mines and Geology
geothermalenergynevadadirect usedeep direct usewellsgeochemistrygeophysicsreservoir modelingquaternary faultshawthorne army weapons depotshallow tempshapefilearcgisgeospatial datakmlkmzdduhawthorne

Newberry EGS Seismic Velocity Model

Oct 01, 2013
4.2 MB
Publicly accessible
We use ambient noise correlation (ANC) to create a detailed image of the subsurface seismic velocity at the Newberry EGS site down to 5 km. We collected continuous data for the 22 stations in the Newberry network, together with 12 additional stations from the nearby CC, UO and UW ...
Authors
Templeton, D. Lawrence Livermore National Laboratory
geothermalegsvelocityreservoirseismic velocitycross-correlationmodelgeophysicsnewberry

Utah FORGE: Groundwater Data

Jul 20, 2016
621.85 kB
Publicly accessible
This submission includes two modeled drawdown scenarios with new supply well locations, a total dissolved solids (TDS) concentration grid (raster dataset representing the spatial distribution of TDS), and an excel spreadsheet containing well data.
Authors
Moore, J. Energy and Geoscience Institute at the University of Utah
geothermalmilfordutahegsforgegroundwaterdrawdownwellsupplytdsconcentrationgeochemistrywellsconcentrationsmodelaquifertesttransducerdataflow ratescenariowater tablemodelledpredictedpotentialgeospatial dataarcgisgisshapefileshape fileutah forgelocationwell locationreservoirsupply wellroosevelt hot springsresourcecharacterizationwell data

Hawthorne Nevada Deep Direct-Use Feasibility Study 3D Seismic

Mar 29, 2018
467.07 MB
Publicly accessible
The objective of this project is to use a multi-disciplinary, three-tiered approach to assess the geothermal resource and determine the feasibility of implementing a large-scale, direct-use facility for the Hawthorne Army Depot (HAD) and the various town and county facilities in H...
Authors
Lowry, T. et al Nevada Bureau of Mines and Geology
geothermalenergynevadadirect usedeep direct usewellsgeochemistrygeophysicsreservoir modelingquaternary faultshawthorne army weapons depotdduopendtectpstmprestack time migrationfault interpretationhawthornegeospatial data

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