Abstract

This paper proposes a new approach to determine the depth and location of buried pipelines using the remote magnetic field measured by aboveground magnetometer surveys. Calculation is presented and verified by the experimental results on 152-mm (6-in.). steel vessels. Performance of the technique is also evaluated through field trials against industrial pipe locators. The depth calculated from the measured magnetic field using this proposed technique agreed within the tolerance interval representing the confidence level of 99.7% of the depth determined by the industrial devices and was able to trend changes of the buried depth. In addition, it was possible to map the target pipeline using the survey route coordinates by calculating the lateral position of the survey route relative to the pipeline centerline from the measured magnetic field. So far, the depth measured by this proposed technique has shown a potential error of 8%. By producing a three-dimensional profile of buried pipelines through quick aboveground surveys, the proposed technique can be considered as a screening technique for asset and integrity management such as monitoring geohazard conditions.

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Data Availability Statement

All data, models, and code used during the study are proprietary or confidential in nature and may only be provided with restrictions.

Acknowledgments

The work in this paper is possible thanks to the funding and support from National Grid, Speir Hunter, and DNV/GL.

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Go to Journal of Pipeline Systems Engineering and Practice
Journal of Pipeline Systems Engineering and Practice
Volume 11Issue 2May 2020

History

Received: Jan 28, 2019
Accepted: Jul 19, 2019
Published online: Jan 2, 2020
Published in print: May 1, 2020
Discussion open until: Jun 2, 2020

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Visiting Research Fellow, School of Electronic and Electrical Engineering, Univ. of Leeds, Leeds LS2 9JT, UK (corresponding author). ORCID: https://orcid.org/0000-0003-2175-0727. Email: [email protected]
S. G. H. Staples, Ph.D. [email protected]
Associate Lecturer, Science Technology Engineering Mathematics, Open Univ., Milton Keynes MK7 6AA, UK. Email: [email protected]
David M. J. Cowell, Ph.D. [email protected]
Research Fellow, School of Electronic and Electrical Engineering, Univ. of Leeds, Leeds LS2 9JT, UK. Email: [email protected]
B. T. H. Varcoe [email protected]
Professor, Experimental Quantum Information, School of Physics and Astronomy, Univ. of Leeds, Leeds LS2 9JT, UK. Email: [email protected]
Professor, Chair of Ultrasonics and Embedded Systems, School of Electronic and Electrical Engineering, Univ. of Leeds, Leeds LS2 9JT, UK. ORCID: https://orcid.org/0000-0001-7858-4155. Email: [email protected]

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