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TitleImaging and monitoring of the shallow subsurface using spatially windowed surface-wave analysis with a single permanent seismic source
AuthorIkeda, T; Tsuji, T; Nakatsukasa, M; Ban, H; Kato, A; Worth, K; White, DORCID logo; Roberts, B
SourceGeophysics vol. 83, 6, 2018 p. EN23-EN38,
Alt SeriesNatural Resources Canada, Contribution Series 20200216
PublisherSociety of Exploration Geophysicists
Mediapaper; on-line; digital
File formatpdf
NTS62E/02; 62E/03
Lat/Long WENS-103.5000 -102.5000 49.2500 49.0000
Subjectsengineering geology; mathematical and computational geology; Science and Technology; structural geology; tectonics; seismic data; seismic waves; surface wave studies; subsurface geology; Analysis
Illustrationstables; location maps; seismic profiles; plots; spectra; digital elevation models; histograms
Released2018 11 01
AbstractDevelopment of shallow subsurface monitoring systems is important for monitoring the ground stability of shallow formation, and also for conventional deep seismic monitoring because with current techniques, temporal changes in shallow seismic velocities can influence monitoring results for the deep subsurface. We have developed an effective shallow seismic imaging and monitoring system with high spatiotemporal resolution and accuracy using a continuous and controlled source system, the accurately controlled routinely operated signal system (ACROSS). The method applies surface-wave analysis to characterize and monitor the shallow subsurface from the spatiotemporal variation of phase velocities. Because the number of available ACROSS units is usually limited, estimating a shallow subsurface with high spatial resolution is a challenging issue in ACROSS-based monitoring. To overcome this problem, we introduced a 2D spatial window into multichannel analysis of surface waves. We analyzed continuous ACROSS data acquired during seven different data periods from 2014 to 2016 at the Aquistore CO2 storage site in Canada. As a result, we clearly estimated spatial variations of phase velocities using only a single ACROSS unit. The numerical experiments of our method suggested that the spatial variations could be associated with shallow geologic boundaries in the study area. We identified clear seasonal variations of phase velocities in winter, possibly related to ground freezing in shallow sediments, and we showed the high temporal stability of our monitoring approach in warmer seasons. These results indicated that our approach would have the potential to identify spatiotemporal change in shallow subsurface associated with natural phenomena or fluid leakage.

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