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Snake River Plain Play Fairway Analysis: Mountain Home Geothermal Area Natural State Model

Jul 28, 2015
19.23 MB
Publicly accessible
The Mountain Home area is characterized by high heat flow and temperature gradient. Temperature data are available from 18 boreholes with depths equal to or greater than 200 m, 5 of which have depths ranging from ~1340 m to ~3390 m (MH-1, MH-2, Bostic1, Lawrence D No.1, and Anschu...
Authors
Garg, S. et al Utah State University
snake river mountain home modelinggeothermalenergysnake river plainmountain homenumerical modelmagnetotelluricgravityplay fairwaynatural statethermal modelingmagnetotelluricsplay fairway analysissrpmtgeophysicsgeophysicaltemperaurepre-productionstatestructureresource assessmentpfamodellingnatural

Low Temperature Geothermal Resource Assessment for Desalination in United States

Sep 30, 2016
1.6 MB
Publicly accessible
This data is a compilation of well observations from the Southern Methodist University (SMU) and Association of American State Geologists (AASG), location of identified low temperature geothermal systems from United States Geological Survey (USGS), and low temperature geothermal w...
Authors
Akar, S. and Turchi, C. National Renewable Energy Laboratory
geothermallow temperaturedesalinationboreholedirect-usemembrane distillationresource assessmentlow tempfresh water availabilitythermal energy desalinationeconomicslcohlevelized cost of heat

Publications and Datasets from Play-Fairway Retrospective Analysis with Emphasis on Developing Improved Hydrothermal Energy Assessments

Feb 07, 2023
Size unavailable
Publicly accessible
Previous moderate and high-temperature geothermal resource assessments of the western United States utilized data-driven methods and expert decisions to estimate resource favorability. Although expert decisions can add confidence to the modeling process by ensuring reasonable mode...
Authors
Mordensky, S. et al United States Geological Survey
geothermalenergypfahydrothermalenergy assessmentresource assessmentretrospectivemachine learninggeosciencewestern usdata-drivenbias reductionfavorabilitymappingegslow tempprocessed dataresourcecharacterization