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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

Tularosa Basin Play Fairway Analysis Data and Models

Jul 11, 2017
1.68 MB
Publicly accessible
This submission includes raster datasets for each layer of evidence used for weights of evidence analysis as well as the deterministic play fairway analysis (PFA). Data representative of heat, permeability and groundwater comprises some of the raster datasets. Additionally, the fi...
Authors
Nash, G. Energy and Geoscience Institute at the University of Utah
geothermalenergyplay fairway analysispfatularosanew mexicoheatpermeabilitygroundwaterexplorationresource assessmenttularosa basinmodelarcgisshapefilegisgeospatial datagis layerprobabilityweights of evidenceraster

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