Subsea Oil Spill Risk Management Based on Sensor Networks
Tabella, Gianluca
Paltrinieri, Nicola
Cozzani, Valerio
Salvo Rossi, Pierluigi

How to Cite

Tabella G., Paltrinieri N., Cozzani V., Salvo Rossi P., 2020, Subsea Oil Spill Risk Management Based on Sensor Networks, Chemical Engineering Transactions, 82, 199-204.


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.