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Distributed Acoustic Sensing – a new tool for seismic applications
Abstract
Distributed optical fibre sensors are established tools in the energy industry, finding many applications for production optimisation and integrity monitoring. Recently, a new class of instrument, the Distributed Acoustic Sensor (DAS), has been launched which adds seismic imaging to the list of energy industry applications. In this paper, we describe one such distributed acoustic sensor (named the iDAS) and demonstrate, through a series of lab experiments, the signal quality and performance that can be achieved. We show data which demonstrates the capability of the iDAS to measure the true acoustic signal (amplitude, frequency and phase) at all points along the sensing fibre length. We also compare the iDAS data with data collected from conventional point sensors and detail experiments which validate key performance criteria. We follow the lab experimental validation of the iDAS with a series of lab and field demonstrations. The lab demonstrations encompass localisation (ranging) of events away from the sensing fibre (for security applications) and acoustic imaging through the formation of a large acoustic camera using a single sensing fibre. The field demonstrations show comparisons of iDAS and geophone measurements in a surface seismic survey and improvements made by stacking shot records from an offshore VSP survey.
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Cited by
Distributed sensing of microseisms and teleseisms with submarine dark fibers
Williams, E. F., Fernández-Ruiz, M. R., Magalhaes, R., Vanthillo, R., Zhan, Z., González-Herráez, M., & Martins, H. F. (2019) · Nature Communications · doi:10.1038/s41467-019-13262-7 · Cited by 490
Distributed sensing of earthquakes and ocean-solid Earth interactions on seafloor telecom cables
Sladen, A., Rivet, D., Ampuero, J. P., De Barros, L., Hello, Y., Calbris, G., & Lamare, P. (2019) · Nature Communications · doi:10.1038/s41467-019-13793-z · Cited by 404
Daley, T. M., Miller, D. E., Dodds, K., Cook, P., & Freifeld, B. M. (2016) · Geophysical Prospecting · doi:10.1111/1365-2478.12324 · Cited by 339
Zhao, Y., Li, Y., & Wu, N. (2021) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2020.3042202 · Cited by 277
Metadata
- Authors
- Parker, T., Shatalin, S., & Farhadiroushan, M.
- Venue
- First Break
- Publisher
- EAGE Publications
- Published
- 2014-02-01
- Volume
- 32
- Issue
- 2
- ISSN
- 0263-5046 (ISSN-L)
- 1365-2397
- OpenAlex
- W2146625715
- Cited by
- 372
- References
- 0
- FWCI
- 14.27
- Type
- journal article
- Language
- en
- Open access
- closed
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