Comparative Assessment of Pipeline Plough Performance Prediction Models Against Field Experience in Sand

Paul Brunning, Gillian Ashton, Michael Brown, Scott Robinson, Keith Duncan Lauder

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

48 Downloads (Pure)


The ability to predict offshore pipeline plough performance (e.g. tow forces and progress rates) in a variety of ground conditions is an important part of project planning. This may be estimated based upon experience from nearby locations or similar ground conditions, but existing empirical plough force prediction models are available and recent updates have been made. With the increasing use of digital data, it is hoped that greater reliance can be placed on these models and this process can be automated and integrated into Geographic Information System type applications. This paper uses real offshore plough data from three trenching projects in sand to compare plough performance prediction models.
Original languageEnglish
Title of host publicationProceedings of the 30th International Ocean and Polar Engineering Conference
PublisherInternational Society of Offshore and Polar Engineers
Number of pages7
ISBN (Electronic)9781880653845
Publication statusPublished - 2020
Event30th International Ocean and Polar Enginering Conference: ISOPE2020 - Shanghai, China
Duration: 11 Oct 202016 Oct 2020

Publication series

NameProceedings of the International Offshore and Polar Engineering Conference
ISSN (Print)1098-6189
ISSN (Electronic)1555-1792


Conference30th International Ocean and Polar Enginering Conference
Abbreviated titleISOPE2020
Internet address


  • Performance models
  • Pipeline installation
  • Pipelines
  • Ploughing
  • Sand

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Ocean Engineering
  • Mechanical Engineering


Dive into the research topics of 'Comparative Assessment of Pipeline Plough Performance Prediction Models Against Field Experience in Sand'. Together they form a unique fingerprint.

Cite this