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Utah FORGE: Earth Model Native State Simulation Results

Jul 16, 2019
6.69 MB
Publicly accessible
Utah FORGE phase 2C Native State Simulation zip contains the data used for the boundary conditions and subsequent native state simulation results obtained using the simulation code FALCON. Data are from the nodes of the simulation domain, with used a uniform 50m spacing over a 250...
Authors
Podgorney, R. Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forgeforgeutah geothermalnative state simulationfalconearth modelsimulationmilfordroosevelt hot springsegsanisotropic permeability and porositypermeabilityporositynative statedfnidaho national laboratoryinlmodelingmodellingreservoirparametersproperties

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

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