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 of components that in case of failure would cause a leakage and their corresponding failure rates.

Wireless Sensor Networks for Detection and Localization of Subsea Oil Leakages / Tabella G.; Paltrinieri N.; Cozzani V.; Rossi P.S.. - In: IEEE SENSORS JOURNAL. - ISSN 1530-437X. - STAMPA. - 21:9(2021), pp. 9357334.10890-9357334.10904. [10.1109/JSEN.2021.3060292]

Wireless Sensor Networks for Detection and Localization of Subsea Oil Leakages

Cozzani V.;
2021

Abstract

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 of components that in case of failure would cause a leakage and their corresponding failure rates.
2021
Wireless Sensor Networks for Detection and Localization of Subsea Oil Leakages / Tabella G.; Paltrinieri N.; Cozzani V.; Rossi P.S.. - In: IEEE SENSORS JOURNAL. - ISSN 1530-437X. - STAMPA. - 21:9(2021), pp. 9357334.10890-9357334.10904. [10.1109/JSEN.2021.3060292]
Tabella G.; Paltrinieri N.; Cozzani V.; Rossi P.S.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/844847
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