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Distributed acoustic sensing for active offshore shear wave profiling
Date Issued
2022-06-11
Date Available
2024-05-27T15:36:09Z
Abstract
The long-term sustainability of the offshore wind industry requires the development of appropriate investigative methods to enable less conservative and more cost-effective geotechnical engineering design. Here we describe the novel use of distributed acoustic sensing (DAS) as part of an integrated approach for the geophysical and geotechnical assessment of the shallow subsurface for offshore construction. DAS was used to acquire active Scholte-wave seismic data at several locations in the vicinity of a planned windfarm development near Dundalk Bay, Irish Sea. Complimentary additional datasets include high-resolution sparker seismic reflection, cone penetration test (CPT) data and gravity coring. In terms of fibre optic cable selection, a CST armoured cable provided a reasonable compromise between performance and reliability in the offshore environment. Also, when used as a seismic source, a gravity corer enabled the fundamental mode Scholte-wave to be better resolved than an airgun, and may be more suitable in environmentally sensitive areas. Overall, the DAS approach was found to be effective at rapidly determining shear wave velocity profiles in areas of differing geological context, with metre scale spatial sampling, over multi-kilometre scale distances. The application of this approach has the potential to considerably reduce design uncertainty and ultimately reduce levelised costs of offshore wind power generation.
Sponsorship
Science Foundation Ireland
Other Sponsorship
Optasense
Geological Survey of Ireland
European Regional Development Fund
Irish Research Council Enterprise Partnership Scheme
Marine Institute Ship-time Programme
Sustainable Energy Authority of Ireland
Type of Material
Journal Article
Publisher
Springer
Journal
Scientific Reports
Volume
12
Start Page
1
End Page
11
Copyright (Published Version)
2022 The Authors
Language
English
Status of Item
Peer reviewed
ISSN
2045-2322
This item is made available under a Creative Commons License
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Trafford_et_al-2022-Scientific_Reports.pdf
Size
2.71 MB
Format
Adobe PDF
Checksum (MD5)
5774a1bd67824c20ceaa8db2d200d952
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