Towards detection of pipeline integrity threats using a SmarT fiber-OPtic surveillance system: PIT-STOP project blind field test results

Abstract

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This paper presents the first report on on-line and final blind field test results of a pipeline integrity threat surveillance system. The system integrates a machine+activity identification mode, and a threat detection mode. Two different pipeline sections were selected for the blind tests: One close to the sensor position, and the other 35 km away from it. Results of the machine+activity identification mode showed that about 46% of the times the machine, the activity or both were correctly identified. For the threat detection mode, 8 out of 10 threats were correctly detected, with 1 false alarm.

This work was mainly supported by three GERG partners (Fluxys, Statoil, and Gassco) under project PIT-STOP, and was also supported in part by: the European Research Council through project UFINE (Grant #307441); the EC Horizon 2020 program through the FINESSE project MSCA-ITN-ETN-722509; the DOMINO Water JPI project, under the WaterWorks2014 cofounded call by EC Horizon 2020 and Spanish MINECO; the Spanish MINECO through projects TEC2013-45265-R, TEC2015-71127-C2-2-R, and TIN2013-47630-C2-1-R; and the regional program SINFOTON-CM: S2013/MIT-2790. The work of HFM was supported by EU funding through the FP7 ITN ICONE program (Grant #608099). The work of JPG and SML was supported by the Spanish MINECO through FPI and \Ramón y Cajal> contract, respectively.

Peer Reviewed