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

Vibhav Bharti; David Lane; Sen Wang

doi:10.1109/CASE48305.2020.9216755

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 proceeding › Conference contribution

5 Citations (Scopus)

207 Downloads (Pure)

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 language	English
Title of host publication	2020 IEEE 16th International Conference on Automation Science and Engineering (CASE)
Publisher	IEEE
Pages	469-475
Number of pages	7
ISBN (Electronic)	9781728169040
DOIs	https://doi.org/10.1109/CASE48305.2020.9216755
Publication status	Published - 8 Oct 2020
Event	16th IEEE International Conference on Automation Science and Engineering 2020 - Hong Kong, Hong Kong Duration: 20 Aug 2020 → 21 Aug 2020

Publication series

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

Conference

Conference	16th IEEE International Conference on Automation Science and Engineering 2020
Abbreviated title	CASE 2020
Country/Territory	Hong Kong
City	Hong Kong
Period	20/08/20 → 21/08/20

ASJC Scopus subject areas

Control and Systems Engineering
Electrical and Electronic Engineering

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10.1109/CASE48305.2020.9216755

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Accepted author manuscript, 2.8 MB

Cite this

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title = "A Semi-Heuristic Approach for Tracking Buried Subsea Pipelines using Fluxgate Magnetometers",

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.",

author = "Vibhav Bharti and David Lane and Sen Wang",

year = "2020",

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day = "8",

doi = "10.1109/CASE48305.2020.9216755",

language = "English",

series = "IEEE International Conference on Automation Science and Engineering",

publisher = "IEEE",

pages = "469--475",

booktitle = "2020 IEEE 16th International Conference on Automation Science and Engineering (CASE)",

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note = "16th IEEE International Conference on Automation Science and Engineering 2020, CASE 2020 ; Conference date: 20-08-2020 Through 21-08-2020",

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Bharti, V, Lane, D & Wang, S 2020, A Semi-Heuristic Approach for Tracking Buried Subsea Pipelines using Fluxgate Magnetometers. in 2020 IEEE 16th International Conference on Automation Science and Engineering (CASE). IEEE International Conference on Automation Science and Engineering, IEEE, pp. 469-475, 16th IEEE International Conference on Automation Science and Engineering 2020, Hong Kong, Hong Kong, 20/08/20. https://doi.org/10.1109/CASE48305.2020.9216755

A Semi-Heuristic Approach for Tracking Buried Subsea Pipelines using Fluxgate Magnetometers. / Bharti, Vibhav; Lane, David; Wang, Sen.
2020 IEEE 16th International Conference on Automation Science and Engineering (CASE). IEEE, 2020. p. 469-475 (IEEE International Conference on Automation Science and Engineering).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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N2 - 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.

AB - 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.

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

Abstract

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