Name
Variations in Lithospheric Fabric Across the Cordillera/Shield Boundary: Effect of Different Averaging Methods
Date & Time
Tuesday, May 9, 2023, 4:30 PM - 4:45 PM
Andrew Frederiksen
Description
Upper-mantle anisotropy is an important indicator of both frozen lithospheric fabric and active asthenospheric deformation, and is measurable beneath seismic stations by examining the splitting of plane-polarized shear waves. Previous work from our research group has measured splitting beneath the Mid-Continent Rift, Superior Province, and Williston Basin using a consistent directionally-balanced methodology. Here we extend that work westward to examine anisotropy beneath Saskatchewan and Alberta, within the limits of existing instrumentation. We use a newly-developed directionally-balanced splitting code that allows for fast, efficient quality control, and we take advantage of recent deployments of instrumentation for induced-seismicity detection and carbon-storage monitoring. Comparing our results with those from a recent study by Wu et al. (2019), which uses a different analysis approach, we find systematic differences in split times, with our results showing smaller split times. We demonstrate that this change results from the contrasting biases of different averaging methods, and explore its effect through simple models.
Location Name
Aspen
Full Address
Banff Park Lodge Resort Hotel & Conference Centre
201 Lynx St
Banff AB T1L 1K5
Canada
Abstract
Upper-mantle anisotropy is an important indicator of both frozen lithospheric fabric and active asthenospheric deformation, and is measurable beneath seismic stations by examining the splitting of plane-polarized shear waves. Previous work from our research group has measured splitting beneath the Mid-Continent Rift, Superior Province, and Williston Basin using a consistent directionally-balanced methodology. Here we extend that work westward to examine anisotropy beneath Saskatchewan and Alberta, within the limits of existing instrumentation. We use a newly-developed directionally-balanced splitting code that allows for fast, efficient quality control, and we take advantage of recent deployments of instrumentation for induced-seismicity detection and carbon-storage monitoring. Comparing our results with those from a recent study by Wu et al. (2019), which uses a different analysis approach, we find systematic differences in split times, with our results showing smaller split times. We demonstrate that this change results from the contrasting biases of different averaging methods, and explore its effect through simple models.
Session Type
Breakout Session