Latest revision as of 04:19, 2 February 2021

Abstract

4 pags., 1 fig., 1 tab.

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

Original document

The different versions of the original document can be found in:

• http://dx.doi.org/10.1117/12.2263357

• http://hdl.handle.net/10017/31121

• http://hdl.handle.net/10261/167640

• http://hdl.handle.net/10261/167645

• https://digital.csic.es/handle/10261/167645,

https://ui.adsabs.harvard.edu/abs/2017SPIE10323E..1KT/abstract,

https://www.spiedigitallibrary.org/conference-proceedings-of-spie/10323/1/Towards-detection-of-pipeline-integrity-threats-using-a-smart-fiber/10.1117/12.2263357.full,

https://digital.csic.es/bitstream/10261/167645/1/accesoRestringido.pdf,

http://digital.csic.es/bitstream/10261/167640/1/accesoRestringido.pdf,

http://www.geintra-uah.org/heimdal/en/towards-detection-pipeline-integrity-threats-using-smart-fiber-optic-surveillance-system-pit-stop,

https://ebuah.uah.es/dspace/handle/10017/31121,

https://academic.microsoft.com/#/detail/2588374524