Positioning of leakages in underwater natural gas pipelines for time-varying multipath environment

Mahmutoğlu Y., Türk K.

Ocean Engineering, vol.207, 2020 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 207
  • Publication Date: 2020
  • Doi Number: 10.1016/j.oceaneng.2020.107454
  • Journal Name: Ocean Engineering
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, PASCAL, Aerospace Database, Applied Science & Technology Source, Aquatic Science & Fisheries Abstracts (ASFA), Communication Abstracts, Compendex, Computer & Applied Sciences, Environment Index, Geobase, ICONDA Bibliographic, INSPEC, Metadex, Civil Engineering Abstracts
  • Keywords: Underwater natural gas pipeline, Passive acoustic localization, Received signal strength, Fingerprint method, kth nearest neighbor algorithm, LOCALIZATION, SYSTEM
  • Recep Tayyip Erdoğan University Affiliated: Yes

Abstract

Underwater natural gas pipelines (UNGPs) used to typically transport natural gas, which is a very important energy resource, can be punctured due to various reasons such as corrosion and shipping/fishing activities. Therefore, the detection and positioning of leakages has an important role in ensuring energy reliability and preventing environmental pollution. In this study, kth nearest neighbor (KNN) algorithm based fingerprint method is proposed to locate leakages in the UNGPs. The success of this method is analyzed using a realistic time-varying multipath underwater acoustic channel and the parameters of a real life UNGP. Numerical results show that for this channel, leakages can be positioned with a margin of low errors from kilometers away depending on the ambient noise, number of receivers, and sea wave height.