Vo, CK orcid.org/0000-0003-2175-0727, Staples, SGH, Cowell, DMJ orcid.org/0000-0003-0854-542X et al. (2 more authors) (2020) Determining the Depth and Location of Buried Pipeline by Magnetometer Survey. Journal of Pipeline Systems Engineering and Practice, 11 (2). 04020001-1. ISSN 1949-1190
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.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020 American Society of Civil Engineers. This material may be downloaded for personal use only. Any other use requires prior permission of the American Society of Civil Engineers. This material may be found at https://doi.org/10.1061/(ASCE)PS.1949-1204.0000438 in the ASCE Library or Civil Engineering Database. |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds) The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Robotics, Autonomous Systems & Sensing (Leeds) The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) |
Funding Information: | Funder Grant number National Grid Transco no ext ref |
Depositing User: | Symplectic Publications |
Date Deposited: | 04 Feb 2020 13:48 |
Last Modified: | 30 Jun 2020 14:49 |
Status: | Published |
Publisher: | American Society of Civil Engineers (ASCE) |
Identification Number: | 10.1061/(asce)ps.1949-1204.0000438 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:156419 |