TY - GEN
T1 - Water-depth estimation using propeller noise by distributed acoustic sensing
AU - Buisman, M.
AU - Martuganova, E.
AU - Kirichek, A.
AU - Draganov, D.
N1 - Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
PY - 2022
Y1 - 2022
N2 - This work shows the potential of using DAS for continuous water-depth monitoring by using the difference in acoustic energy in water and mud. The advantage over conventional methods is that our method can be used continuously and remotely, given that there is traffic nearby. Due to the low cost of fibres and the far-reaching dynamic range of interrogators, DAS could be a very attractive alternative for water-depth monitoring using propeller noise in shallow marine environments, ports and waterways.
AB - This work shows the potential of using DAS for continuous water-depth monitoring by using the difference in acoustic energy in water and mud. The advantage over conventional methods is that our method can be used continuously and remotely, given that there is traffic nearby. Due to the low cost of fibres and the far-reaching dynamic range of interrogators, DAS could be a very attractive alternative for water-depth monitoring using propeller noise in shallow marine environments, ports and waterways.
UR - http://www.scopus.com/inward/record.url?scp=85142614467&partnerID=8YFLogxK
U2 - 10.3997/2214-4609.202210851
DO - 10.3997/2214-4609.202210851
M3 - Conference contribution
AN - SCOPUS:85142614467
T3 - 83rd EAGE Conference and Exhibition 2022
SP - 3114
EP - 3118
BT - 83rd EAGE Conference and Exhibition 2022
PB - EAGE
T2 - 83rd EAGE Conference and Exhibition 2022
Y2 - 6 June 2022 through 9 June 2022
ER -
