dc.contributor.author | Tabella, Gianluca | |
dc.contributor.author | Salvo Rossi, Pierluigi | |
dc.contributor.author | Paltrinieri, Nicola | |
dc.contributor.author | Cozzani, Valerio | |
dc.date.accessioned | 2020-10-22T10:53:55Z | |
dc.date.available | 2020-10-22T10:53:55Z | |
dc.date.created | 2020-10-08T14:44:59Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | Chemical Engineering Transactions. 2020, 82 199-204. | en_US |
dc.identifier.issn | 1974-9791 | |
dc.identifier.uri | https://hdl.handle.net/11250/2684450 | |
dc.description.abstract | The use of Wireless Sensor Networks (WSNs) in support of Dynamic Risk Assessment regarding oil spills still lacks a proper integration. WSNs enable prompt responses to such emergencies through an appropriate inspection, thus avoiding possible larger disasters. This work proposes a methodology for the setup of a WSN as a Leak Detection System in which a Fusion Center collects sensors’ binary decisions and provides a more reliable decision about the presence/absence of a leak. The detection rules are based on statistical signal processing techniques, and the choice of the optimal thresholds is made through the optimization of three objective functions tailored to the Oil&Gas industry. Detection performances are assessed in terms of the Receiver Operating Characteristic (ROC) curve. The case study is the Goliat FPSO, a production platform located in the Barents Sea, and related requirements dictated by Norwegian authorities to prevent oil spills. The considered WSN monitors the subsea manifolds through passive acoustic sensors. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | The Italian Association of Chemical Engineering (AIDIC) | en_US |
dc.title | Subsea Oil Spill Risk Management Based on Sensor Networks | en_US |
dc.type | Peer reviewed | en_US |
dc.type | Journal article | en_US |
dc.description.version | publishedVersion | en_US |
dc.source.pagenumber | 199-204 | en_US |
dc.source.volume | 82 | en_US |
dc.source.journal | Chemical Engineering Transactions | en_US |
dc.identifier.doi | 10.3303/CET2082034 | |
dc.identifier.cristin | 1838246 | |
dc.description.localcode | Copyright © 2020, AIDIC Servizi S.r.l. | en_US |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |