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Snake River Plain Geothermal Play Fairway Analysis Heat, Permeability, and Seal CRS Map Raster Files

Oct 09, 2015
117.95 MB
Publicly accessible
Snake River Plain Play Fairway Analysis Phase 1 CRS Raster Files. This dataset contains raster files created in ArcGIS. These raster images depict Common Risk Segment (CRS) maps for HEAT, PERMEABILITY, AND SEAL, as well as selected maps of Evidence Layers. These evidence layers c...
Authors
Shervais, J. Utah State University
geothermalsnake river plainidahoplay fairway analysispfagroundwater temperatureresource assessmentsite characterizationheatpermeabilitysealgravitymagneticdilation tendancyfaultingfaultsheat sourceventsedimentslip tendancyaquifersrp

Washington State Play Fairway Analysis Passive Monitoring of St. Helens Shear Zone for Tomography and Precision Microseismic Event Detection

Oct 03, 2017
16.49 MB
Publicly accessible
Data resources were derived from a passive seismic survey of the northern St. Helens Shear Zone on geothermal leases 12-24 km north of Mount St. Helens for phase 2 of the Geothermal Play-Fairway Analysis of Washington State Prospects. A 20 seismic station array of broadband seismo...
Authors
Swyer, M. et al AltaRock Energy Inc
geothermalenergyexplorationpassive seismic monitoringpassive seismic tomographyambient noise tomographymicro-seismicitywashington statest. helens shear zonemount st. helensvpvsvp/vsfocal mechanismsrelocated seismic eventsmt st helensmount saint helensmt saint helensvelocityseismicsite assessmentresource assessmentsite investigationpfatomographygeophysics

Microhole drilling technology utilizing a golden section search algorithm

Jun 23, 2021
812.35 MB
Publicly accessible
A fundamental issue in microhole drilling is that delivering high weight-on-bit (WOB), high torque rotational horsepower to a conventional drill bit does not scale down to the hole sizes necessary to realize the envisioned cost savings An optimization algorithm called a golden sec...
Authors
Su, J. et al Sandia National Laboratories
geothermalpercussive hammerweight-on-bitoptimizationmicroholesslimholesdrillingexplorationmonitoringtechnical assessmentfeasibilitywobgssgolden section searchalgorithmblue canyon domenew mexico tech energetic materials research and testing centersocorronew mexico

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

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