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Unlocking the benefits of long-term pipeline-embedment processes: Image analysis-based processing of historic survey data

Unlocking the benefits of long-term pipeline-embedment processes: Image analysis-based processing of historic survey data
Unlocking the benefits of long-term pipeline-embedment processes: Image analysis-based processing of historic survey data

An image analysis-based method for retrieving high-resolution bathymetry data from historic pipeline inspection video is detailed. The resulting time-dependant bathymetric datasets are used to inform an improved understanding of pipe-soil and pipe-soil-fluid interaction. This allows better management of existing pipelines and improved design of new pipelines. The pipeline and seabed positions are extracted automatically from the survey video, spurious points removed, the data scaled, and interpolation applied. The data can then be projected in various forms, for different applications. Drawing on field data from Australia's North West Shelf, applications of the method are described. For pipeline design, it is shown how improvements in on-bottom stability and changes in seabed friction can be quantified for mobile seabeds and through buckling sections of pipeline. This approach unlocks advances in existing design practice by providing quantification of the effects of seabed mobility. The processes and mechanisms that lead to through-life changes in pipeline embedment, soil support, and hydrodynamic shielding can be quantified, allowing design to move beyond the usual assumptions of a pipeline embedment that is invariant in time and space.

Friction factor, Image analysis, On-bottom stability, Pipe-soil interaction, Scour
1949-1190
Leckie, Simon H.F.
2f62ed53-abf1-461d-879f-9b9e0134cb0f
White, David J.
a986033d-d26d-4419-a3f3-20dc54efce93
Draper, Scott
efe46b7d-3989-403b-8b19-0b17dd54194f
Cheng, Liang
0ce99dcc-f682-4ec6-97aa-59fd87174385
Leckie, Simon H.F.
2f62ed53-abf1-461d-879f-9b9e0134cb0f
White, David J.
a986033d-d26d-4419-a3f3-20dc54efce93
Draper, Scott
efe46b7d-3989-403b-8b19-0b17dd54194f
Cheng, Liang
0ce99dcc-f682-4ec6-97aa-59fd87174385

Leckie, Simon H.F., White, David J., Draper, Scott and Cheng, Liang (2016) Unlocking the benefits of long-term pipeline-embedment processes: Image analysis-based processing of historic survey data. Journal of Pipeline Systems Engineering and Practice, 7 (4), [04016008]. (doi:10.1061/(ASCE)PS.1949-1204.0000242).

Record type: Article

Abstract

An image analysis-based method for retrieving high-resolution bathymetry data from historic pipeline inspection video is detailed. The resulting time-dependant bathymetric datasets are used to inform an improved understanding of pipe-soil and pipe-soil-fluid interaction. This allows better management of existing pipelines and improved design of new pipelines. The pipeline and seabed positions are extracted automatically from the survey video, spurious points removed, the data scaled, and interpolation applied. The data can then be projected in various forms, for different applications. Drawing on field data from Australia's North West Shelf, applications of the method are described. For pipeline design, it is shown how improvements in on-bottom stability and changes in seabed friction can be quantified for mobile seabeds and through buckling sections of pipeline. This approach unlocks advances in existing design practice by providing quantification of the effects of seabed mobility. The processes and mechanisms that lead to through-life changes in pipeline embedment, soil support, and hydrodynamic shielding can be quantified, allowing design to move beyond the usual assumptions of a pipeline embedment that is invariant in time and space.

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More information

Accepted/In Press date: 4 February 2016
e-pub ahead of print date: 6 May 2016
Published date: 1 November 2016
Keywords: Friction factor, Image analysis, On-bottom stability, Pipe-soil interaction, Scour

Identifiers

Local EPrints ID: 419397
URI: http://eprints.soton.ac.uk/id/eprint/419397
ISSN: 1949-1190
PURE UUID: 7595718e-6859-4dfb-b716-db2ecc236d1a
ORCID for David J. White: ORCID iD orcid.org/0000-0002-2968-582X

Catalogue record

Date deposited: 11 Apr 2018 16:30
Last modified: 16 Mar 2024 04:32

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Contributors

Author: Simon H.F. Leckie
Author: David J. White ORCID iD
Author: Scott Draper
Author: Liang Cheng

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