Wavefield-based evaluation of DAS instrument response and array design
- Creators
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Muir, Jack B.
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Zhan, Zhongwen
Abstract
Distributed acoustic sensing (DAS) networks promise to revolutionize observational seismology by providing cost-effective, highly dense spatial sampling of the seismic wavefield, especially by utilizing pre-deployed telecomm fibre in urban settings for which dense seismic network deployments are difficult to construct. However, each DAS channel is sensitive only to one projection of the horizontal strain tensor and therefore gives an incomplete picture of the horizontal seismic wavefield, limiting our ability to make a holistic analysis of instrument response. This analysis has therefore been largely restricted to pointwise comparisons where a fortuitious coincidence of reference three-component seismometers and colocated DAS cable allows. We evaluate DAS instrument response by comparing DAS measurements from the PoroTomo experiment with strain-rate wavefield reconstructed from the nodal seismic array deployed in the same experiment, allowing us to treat the entire DAS array in a systematic fashion irrespective of cable geometry relative to the location of nodes. We found that, while the phase differences are in general small, the amplitude differences between predicted and observed DAS strain rates average a factor of 2 across the array and correlate with near-surface geology, suggesting that careful assessment of DAS deployments is essential for applications that require reliable assessments of amplitude. We further discuss strategies for empirical gain corrections and optimal placement of point sensor deployments to generate the best combined sensitivity with an already deployed DAS cable, from a wavefield reconstruction perspective.
Additional Information
© The Author(s) 2021. Published by Oxford University Press on behalf of The Royal Astronomical Society. This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model). Revision received: 15 July 2021. Received: 27 September 2021. Accepted: 18 October 2021. Published: 28 October 2021. The authors would like to thank the editor, Andrew Valentine, and the reviewers, Eileen Martin and Karen Lythgoe, for their comments, which have greatly improved the manuscript. The authors would like to thank Ettore Biondi for useful discussions during the preparation of this manuscript. The authors would like to acknowledge the University of Wisconsin-Madison PoroTomo team for early access and usage instructions for the PoroTomo DAS data set. JBM acknowledges the financial support of the Origin Energy Foundation and the General Sir John Monash Foundation during his PhD studies. ZZ thanks the support from NSF CAREER award EAR 1848166 and the NSF/IUCRC GMG Center. Seismic data were processed using Obspy (Beyreuther et al. 2010), and figures were created using Matplotlib (Hunter 2007). DATA AVAILABILITY. Data for the Hawthorn NV earthquake can be found at Feigl (2016a, b). The code used to produce the analysis for this study is stored at https://github.com/jbmuir/DAS-Reconstruction.Attached Files
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Additional details
- Eprint ID
- 113045
- Resolver ID
- CaltechAUTHORS:20220121-11653000
- Origin Energy Foundation
- General Sir John Monash Foundation
- NSF
- EAR-1848166
- Center for Geomechanics and Mitigation of Geohazards
- Created
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2022-01-21Created from EPrint's datestamp field
- Updated
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2022-01-21Created from EPrint's last_modified field
- Caltech groups
- Seismological Laboratory, Division of Geological and Planetary Sciences (GPS)