«Automation and Informatization of the fuel and energy complex»

Leaks identification in underground and surface pipelines by the maximum likelihood method

UDC: 681.514:681.518.2:681.518.3:681.518.5
DOI: 10.33285/2782-604X-2023-4(597)-46-53

Authors:

¹ MCE-Engineering, Moscow, Russia
² Ksimatic, Moscow, Russia
³ National University of Oil and Gas "Gubkin University", Moscow, Russia
⁴ D. Mendeleev University of Chemical Technology, Moscow, Russia

Keywords: wireless sensor networks, underground pipelines, aboveground pipelines, leak detection, maximum likelihood ratio test, hypothesis test

Annotation:

Leaks in pipelines of the oil and gas industry are an economic and environmental problem that needs to be effectively detected at the early stage of their occurrence. Wireless sensor networks (WSN) of leaks detection have been researched as one of those technologies to be used in the remote monitoring of a pipeline infrastructure. The idea of using tiny sensor nodes on pipelines seemingly provides industries with effective and reliable real-time monitoring, and better coverage density per area. The article presents the concept of statistical analysis and leak detection efficiency when deploying WSN on surface and underground pipelines. The approach to the effective leak detection solution is based on statistical data analysis and maximum likelihood ratio hypothesis test. The test takes into account the signal-to-noise ratio of the two pipeline layouts – underground and above ground – and is critical for a reliable leak detection assessment. The threshold values determined by the leak detection probability are the key to the high reliability and effectiveness of leak detection in WSN.

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