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Play Fairway Analysis (PFA)×

Washington Play Fairway Analysis Analysis of High Precision GPS Time Series and Strain Rates for the Cascade Range

Feb 22, 2015
1.27 GB
Publicly accessible
Global Positioning System (GPS) time series from the National Science Foundation (NSF) Earthscope's Plate Boundary Observatory (PBO) and Central Washington University's Pacific Northwest Geodetic Array (PANGA). GPS station velocities were used to infer strain rates using the "spli...
Authors
Swyer, M. AltaRock Energy Inc
geothermalexplorationplay fairwaycascade rangewashingtonoregongpsgeodetic strain ratesubduction lockingblock rotationdilatational strain ratemaximum shear strain ratestrain rate tensorgps station velocitiesdilational strain ratepangapbomaximum shear strain rateswashintonsplines in tensiongeodesyplate boundary obsevartorypacific northwestgeodetic arraystrainratesubduction zonesubducitonlockingwaordeformationelasticwashington statepfageospatial data

Hawaii Play Fairway Analysis: Noble Gas Raw Data for Hawaii, Maui, Oahu, Kauai, and Lanai islands

Oct 06, 2020
141.44 kB
Publicly accessible
Noble gas raw data for the Hawaiian islands of Big Island, Maui, Oahu, Lanai, and Kauai. Based on results from prior phases of the Hawaii Play Fairway Analysis, this project targeted 66 wells on the islands of Hawaii, Maui, Lanai, Oahu, and Kauai for sampling of dissolved noble ga...
Authors
Ferguson, C. and Lautze, N. University of Hawaii
geothermalenergyhawaiiplay fairwaylanaikauaioahunoble gasmauigeochemistryr/rar/ra anomoliesindicatorssurveyriftlower east rift of kilaueasouthwest rift of haleakalarift zonescalderasheliumcalderapfaplay fairway analysisgas datanoble gas dataraw datawell

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