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Utah FORGE: UGS Interactive Geoscience Map

Jan 01, 2021
Size unavailable
Publicly accessible
This is a link to the Utah Geological Survey's Utah FORGE Interactive Geoscience Map. The map layers include information on geology, geography, subsurface temperatures, seismicity, gravity and groundwater. Instructions for using the interactive map and a legend for the interactive...
Authors
Hill, J. Utah Geological Survey
geothermalenergyutah forgeinteractive mapgeology mapgravity maptemperature mapseismicity mapgroundwater mapugs mapsutah geological survey mapsutah forge mapsmapgeologyseismiclstgroundwaterhydrologyugsutahforgeinteractivegravityprocessed datageospatial datawater table depthgroundwater chemistrywellfaultwell temperaturetemperaturebedrockbedrock surfacebeddingfoliationcontactgeographycharcterizationegsmilfordroosevelt hot springsenhance geothermal systemengineered geothermal system

Altona Field Lab Inverse Model WRR 2020

Jan 01, 2015
51.98 kB
Publicly accessible
Includes data for measured inert tracer breakthrough curves first reported in Hawkins (2020) (Water Resources Research). In addition, this submission includes the production well temperature measurements first reported in Hawkins et al. (2017a) (Water Resources Research, volume 53...
Authors
Tester, J. Cornell University
geothermalenergyaltona field laboratorytemperaturenanoparticlesc-dotsinert tracertracerraw datadisplacementboreholeinjection testdistributed acoustic sensingdistributed hydraulic sensinggeologyfracturedbedrockmatlabaltona field labbreakthrough curve

Distributed Acoustic Sensing (DAS) of Strain at Earth Tide Frequencies: Laboratory Tests

Jan 24, 2018
1.09 GB
Curated
The solid Earth strains in response to the gravitational pull from the Moon, Sun, and other planetary bodies. Measuring the flexure of geologic material in response to these Earth tides provides information about the geomechanical properties of rock and sediment. Such measurements...
Authors
Coleman, T. and Becker, M. California State University
geothermalenergyearth tidedasdistributed acoustic sensingfiber optics sensorslow frequency straingeomechanicsmeasurementmatlabegslab testsfracturecharacterizationhydraulicstimulation strain

Sedimentary Geothermal Feasibility in Nevada, Western Utah, Colorado, and the Gulf Coast Region of Texas Final Report

Jul 01, 2020
Size unavailable
Publicly accessible
The objectives of this project were to (1) perform a literature review of sedimentary geothermal resources, (2) identify data sources and develop data-collection methodologies that characterize selected resources, (3) screen sedimentary basins and formations for sedimentary geothe...
Authors
Johnston, H. et al National Renewable Energy Laboratory
geothermalenergysedimentaryfeasibilitysedimentary basinelko basinrailroad valleysteptoe valleypavant buttedenver basinpiceance basinraton basingulf coast regionnevadautahtexasgbcaasgreat basin carbonate and alluvial aquifer systemcarbonateagsadvanced geothermal systembottom-hole temperaturewell datalcoeeconomicsupperlowercarbonate aquifer unitegsenhanced geothermal systemplay fairway analysiscoloradotemperaturebottom-holemarys river basindrillingpermeabilityreservoirmodelingcarbonate geothermal systemcgstechno-economicanalysisdownselectsubsurfacedata mininggeologygradientheatflowgeophysicsseismicclosed-loophydrogeologycoststructuralbedrockmapaquifersedgeo

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
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  • The GDR provides free access to data generated from projects funded by the U.S. Department of Energy's Office of Geothermal.
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