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HyDiLLEch: a WSN-based Distributed Leak Detection and Localisation in Crude Oil Pipelines

Abstract : One of the major failures attributed to pipeline transportation of crude oil is oil leakages and spills. Hence, it is monitored via several classical leak detection techniques (LDTs), which are more recently implemented on centralised wireless sensor networks (WSN)-based leak detection and monitoring systems (LDMS). However, the LDTs are sometimes prone to high false alarms, and the LDMS are sensitive to single points of failure. Thus, we propose HyDiLLEch, a distributed leakage detection and localisation technique based on a fusion of several LDTs. In this work, we implemented HyDiLLEch and compared it to the individual LDTs in terms of communication efficiency and leakage detection and localisation accuracy. With HyDiLLEch, the number of nodes detecting and localising leakages increases by a maximum of four to six times, thereby eliminating single points of failures. In addition, we improve the accuracy of localisation in nodes physically-close to the leak and maintain an average of 96% accuracy with little to no communication overhead.
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https://hal.inria.fr/hal-03181575
Contributor : Frédéric Le Mouël <>
Submitted on : Thursday, March 25, 2021 - 4:51:34 PM
Last modification on : Sunday, March 28, 2021 - 3:23:01 AM

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  • HAL Id : hal-03181575, version 1

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Safuriyawu Ahmed, Frédéric Le Mouël, Nicolas Stouls, Ghislain Lipeme Kouyi. HyDiLLEch: a WSN-based Distributed Leak Detection and Localisation in Crude Oil Pipelines. AINA 2021 -The 35th International Conference on Advanced Information Networking and Applications, May 2021, Toronto, Canada. ⟨hal-03181575⟩

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