Subsea Leak Detection and Localization

PhD Candidate Gianluca Tabella

Main Supervisor Pierluigi Salvi Rossi

Sponsor: NTNU

The project consists of developing algorithms for detection and localization of subsea oil spill through sensor fusion and statistical signal processing techniques. In order to maximize the performances of such methodologies, the detection and localization problem is approached by taking advantage of reliability analysis performed on the Subsea Production System. Such information can be used as prior knowledge for improved results. The work aims also at integrating the real-time results of such algorithms into a Dynamic Risk Analysis, in order to create a cyclic exchange of information between the Leak Detection/Localization System and the other safety/monitoring/maintenance systems in place.