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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

Nevada Great Basin Play Fairway Analysis Reports & Appendices

Oct 28, 2015
52.81 MB
Publicly accessible
This project focused on defining geothermal play fairways and development of a detailed geothermal potential map of a large transect across the Great Basin region (96,000 km2), with the primary objective of facilitating discovery of commercial-grade, blind geothermal fields (i.e. ...
Authors
Faulds, J. et al Nevada Bureau of Mines and Geology
geothermalnevadaplay fairwayreportappendicesgreat basinnbmgnvpfacarson sinksteptoe valleygeophysicsgeophysicalgeologygeologiclidargeochemicalgravityseismic reflectionmtmagnetotelluricsgeodeticgeodesyshallow temperaturesoil gasslip and dilation tendancy3d modelingthermal modelingexplorationresource assessmentresource potentialinvestigationsurveypreliminarysite assessmentfavorabilitynv great basin

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