A Semi-Heuristic Approach for Tracking Buried Subsea Pipelines using Fluxgate Magnetometers

Vibhav Bharti, David Lane, Sen Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

Integrity assessment of subsea oil and gas transmission lines is crucial for safe and environment-friendly operations. These are usually very expensive without employing Autonomous Underwater Vehicles (AUVs). Buried sections of long pipelines pose a major hurdle in effective pipeline tracking through an AUV. If a pipe track is lost, then the vehicle needs to invest resources to relocate the pipeline. This work presents a heuristic-based method to detect buried pipes using magnetometers followed by a Kalman filter parameterized to optimally localize subsea pipes. Extensive experiments on real and simulated data are conducted to show the reliable performance of this method for tracking buried pipelines.

Original languageEnglish
Title of host publication2020 IEEE 16th International Conference on Automation Science and Engineering (CASE)
PublisherIEEE
Pages469-475
Number of pages7
ISBN (Electronic)9781728169040
DOIs
Publication statusPublished - 8 Oct 2020
Event16th IEEE International Conference on Automation Science and Engineering 2020 - Hong Kong, Hong Kong
Duration: 20 Aug 202021 Aug 2020

Publication series

NameIEEE International Conference on Automation Science and Engineering
ISSN (Print)2161-8070
ISSN (Electronic)2161-8089

Conference

Conference16th IEEE International Conference on Automation Science and Engineering 2020
Abbreviated titleCASE 2020
CountryHong Kong
CityHong Kong
Period20/08/2021/08/20

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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