Wireless Sensor Networks for Detection and Localization of Subsea Oil Leakages
This work studies the impact of Wireless Sensor Networks (WSNs) for oil spill detection and localization in Subsea Production Systems. The case study is the Goliat FPSO, with a realistic assumption about the presence of a WSN built upon the existing passive acoustic sensors installed on each subsea...
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ftntnutrondheimi:oai:ntnuopen.ntnu.no:11250/2735785 2023-05-15T16:22:48+02:00 Wireless Sensor Networks for Detection and Localization of Subsea Oil Leakages Tabella, Gianluca Paltrinieri, Nicola Cozzani, Valerio Salvo Rossi, Pierluigi 2021 application/pdf https://hdl.handle.net/11250/2735785 https://doi.org/10.1109/JSEN.2021.3060292 eng eng IEEE urn:issn:1530-437X https://hdl.handle.net/11250/2735785 https://doi.org/10.1109/JSEN.2021.3060292 cristin:1891889 IEEE Sensors Journal Journal article Peer reviewed 2021 ftntnutrondheimi https://doi.org/10.1109/JSEN.2021.3060292 2021-03-31T22:34:38Z This work studies the impact of Wireless Sensor Networks (WSNs) for oil spill detection and localization in Subsea Production Systems. The case study is the Goliat FPSO, with a realistic assumption about the presence of a WSN built upon the existing passive acoustic sensors installed on each subsea template to monitor the manifold. The sensors take local binary decisions regarding the presence/absence of a spill by performing an energy test. A Fusion Center (FC) collects such local decisions and provides a more reliable global binary decision. The Counting Rule (CR) and a modified Chair-Varshney Rule (MCVR) are compared. An objective function based on the Receiver Operating Characteristic (ROC) is used for threshold design. The FC, in case of a spill detection, provides an estimated position of the leak source. Four localization algorithms are explored: Maximum A-Posteriori (MAP) estimation, Minimum Mean Square Error (MMSE) estimation, and two heuristic centroid-based algorithms. Detection and localization performances are assessed in comparison to the (position) Clairvoyant Chair-Varshney Rule (CVR) and to the Cramér-Rao Lower Bound (CRLB), respectively. The considered framework requires the prior knowledge of the involved subsea production system in terms acceptedVersion Article in Journal/Newspaper Goliat NTNU Open Archive (Norwegian University of Science and Technology) IEEE Sensors Journal 21 9 10890 10904 |
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NTNU Open Archive (Norwegian University of Science and Technology) |
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ftntnutrondheimi |
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English |
description |
This work studies the impact of Wireless Sensor Networks (WSNs) for oil spill detection and localization in Subsea Production Systems. The case study is the Goliat FPSO, with a realistic assumption about the presence of a WSN built upon the existing passive acoustic sensors installed on each subsea template to monitor the manifold. The sensors take local binary decisions regarding the presence/absence of a spill by performing an energy test. A Fusion Center (FC) collects such local decisions and provides a more reliable global binary decision. The Counting Rule (CR) and a modified Chair-Varshney Rule (MCVR) are compared. An objective function based on the Receiver Operating Characteristic (ROC) is used for threshold design. The FC, in case of a spill detection, provides an estimated position of the leak source. Four localization algorithms are explored: Maximum A-Posteriori (MAP) estimation, Minimum Mean Square Error (MMSE) estimation, and two heuristic centroid-based algorithms. Detection and localization performances are assessed in comparison to the (position) Clairvoyant Chair-Varshney Rule (CVR) and to the Cramér-Rao Lower Bound (CRLB), respectively. The considered framework requires the prior knowledge of the involved subsea production system in terms acceptedVersion |
format |
Article in Journal/Newspaper |
author |
Tabella, Gianluca Paltrinieri, Nicola Cozzani, Valerio Salvo Rossi, Pierluigi |
spellingShingle |
Tabella, Gianluca Paltrinieri, Nicola Cozzani, Valerio Salvo Rossi, Pierluigi Wireless Sensor Networks for Detection and Localization of Subsea Oil Leakages |
author_facet |
Tabella, Gianluca Paltrinieri, Nicola Cozzani, Valerio Salvo Rossi, Pierluigi |
author_sort |
Tabella, Gianluca |
title |
Wireless Sensor Networks for Detection and Localization of Subsea Oil Leakages |
title_short |
Wireless Sensor Networks for Detection and Localization of Subsea Oil Leakages |
title_full |
Wireless Sensor Networks for Detection and Localization of Subsea Oil Leakages |
title_fullStr |
Wireless Sensor Networks for Detection and Localization of Subsea Oil Leakages |
title_full_unstemmed |
Wireless Sensor Networks for Detection and Localization of Subsea Oil Leakages |
title_sort |
wireless sensor networks for detection and localization of subsea oil leakages |
publisher |
IEEE |
publishDate |
2021 |
url |
https://hdl.handle.net/11250/2735785 https://doi.org/10.1109/JSEN.2021.3060292 |
genre |
Goliat |
genre_facet |
Goliat |
op_source |
IEEE Sensors Journal |
op_relation |
urn:issn:1530-437X https://hdl.handle.net/11250/2735785 https://doi.org/10.1109/JSEN.2021.3060292 cristin:1891889 |
op_doi |
https://doi.org/10.1109/JSEN.2021.3060292 |
container_title |
IEEE Sensors Journal |
container_volume |
21 |
container_issue |
9 |
container_start_page |
10890 |
op_container_end_page |
10904 |
_version_ |
1766010904454889472 |