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

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

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 proceeding › Conference contribution

67 Downloads (Pure)

Abstract

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 language	English
Title of host publication	Proceedings of the 30th International Ocean and Polar Engineering Conference
Publisher	International Society of Offshore and Polar Engineers
Pages	1366-1372
Number of pages	7
ISBN (Electronic)	9781880653845
Publication status	Published - 2020
Event	30th International Ocean and Polar Enginering Conference: ISOPE2020 - Shanghai, China Duration: 11 Oct 2020 → 16 Oct 2020 https://www.isope.org/

Publication series

Name	Proceedings of the International Offshore and Polar Engineering Conference
Volume	2020-October
ISSN (Print)	1098-6189
ISSN (Electronic)	1555-1792

Conference

Conference	30th International Ocean and Polar Enginering Conference
Abbreviated title	ISOPE2020
Country/Territory	China
City	Shanghai
Period	11/10/20 → 16/10/20
Internet address	https://www.isope.org/

Keywords

Performance models
Pipeline installation
Pipelines
Ploughing
Sand

ASJC Scopus subject areas

Energy Engineering and Power Technology
Ocean Engineering
Mechanical Engineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

Author Accepted ManuscriptAccepted author manuscript, 1.23 MB

Cite this

Brunning, P., Ashton, G., Brown, M., Robinson, S., & Lauder, K. D. (2020). Comparative Assessment of Pipeline Plough Performance Prediction Models Against Field Experience in Sand. In Proceedings of the 30th International Ocean and Polar Engineering Conference (pp. 1366-1372). (Proceedings of the International Offshore and Polar Engineering Conference; Vol. 2020-October). International Society of Offshore and Polar Engineers.

Brunning, Paul ; Ashton, Gillian ; Brown, Michael et al. / Comparative Assessment of Pipeline Plough Performance Prediction Models Against Field Experience in Sand. Proceedings of the 30th International Ocean and Polar Engineering Conference. International Society of Offshore and Polar Engineers, 2020. pp. 1366-1372 (Proceedings of the International Offshore and Polar Engineering Conference).

@inproceedings{4b59ba8ea64d4c8d9fb96a8f9dbe92bd,

title = "Comparative Assessment of Pipeline Plough Performance Prediction Models Against Field Experience in Sand",

abstract = "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.",

keywords = "Performance models, Pipeline installation, Pipelines, Ploughing, Sand",

author = "Paul Brunning and Gillian Ashton and Michael Brown and Scott Robinson and Lauder, {Keith Duncan}",

note = "Funding Information: The authors would like to thank their organisations for allowing time to create this paper and access to real plough data. The views expressed are those of the authors alone, and do not necessarily represent the views of their respective companies or employing organisations. Updated ploughing models were created as part of EPSRC funded project EP/M000362/1 and with the support of the former CTC Offshore and Cathie Associates. These works were undertaken in the ERDF SMART centre at the University of Dundee (LUPS/ERDF/2013/10/1/0075). This support is gratefully acknowledged. Publisher Copyright: {\textcopyright} 2020 by the International Society of Offshore and Polar Engineers (ISOPE).; 30th International Ocean and Polar Enginering Conference : ISOPE2020, ISOPE2020 ; Conference date: 11-10-2020 Through 16-10-2020",

year = "2020",

language = "English",

series = "Proceedings of the International Offshore and Polar Engineering Conference",

publisher = "International Society of Offshore and Polar Engineers",

pages = "1366--1372",

booktitle = "Proceedings of the 30th International Ocean and Polar Engineering Conference",

address = "United States",

url = "https://www.isope.org/",

}

Brunning, P, Ashton, G, Brown, M , Robinson, S & Lauder, KD 2020, Comparative Assessment of Pipeline Plough Performance Prediction Models Against Field Experience in Sand. in Proceedings of the 30th International Ocean and Polar Engineering Conference. Proceedings of the International Offshore and Polar Engineering Conference, vol. 2020-October, International Society of Offshore and Polar Engineers, pp. 1366-1372, 30th International Ocean and Polar Enginering Conference, Shanghai, China, 11/10/20.

Comparative Assessment of Pipeline Plough Performance Prediction Models Against Field Experience in Sand. / Brunning, Paul; Ashton, Gillian ; Brown, Michael et al.
Proceedings of the 30th International Ocean and Polar Engineering Conference. International Society of Offshore and Polar Engineers, 2020. p. 1366-1372 (Proceedings of the International Offshore and Polar Engineering Conference; Vol. 2020-October).

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

TY - GEN

T1 - Comparative Assessment of Pipeline Plough Performance Prediction Models Against Field Experience in Sand

AU - Brunning, Paul

AU - Ashton, Gillian

AU - Brown, Michael

AU - Robinson, Scott

AU - Lauder, Keith Duncan

N1 - Funding Information: The authors would like to thank their organisations for allowing time to create this paper and access to real plough data. The views expressed are those of the authors alone, and do not necessarily represent the views of their respective companies or employing organisations. Updated ploughing models were created as part of EPSRC funded project EP/M000362/1 and with the support of the former CTC Offshore and Cathie Associates. These works were undertaken in the ERDF SMART centre at the University of Dundee (LUPS/ERDF/2013/10/1/0075). This support is gratefully acknowledged. Publisher Copyright: © 2020 by the International Society of Offshore and Polar Engineers (ISOPE).

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

KW - Performance models

KW - Pipeline installation

KW - Pipelines

KW - Ploughing

KW - Sand

UR - https://www.onepetro.org/conference-paper/ISOPE-I-20-2151

UR - http://www.scopus.com/inward/record.url?scp=85090910071&partnerID=8YFLogxK

M3 - Conference contribution

T3 - Proceedings of the International Offshore and Polar Engineering Conference

SP - 1366

EP - 1372

BT - Proceedings of the 30th International Ocean and Polar Engineering Conference

PB - International Society of Offshore and Polar Engineers

T2 - 30th International Ocean and Polar Enginering Conference

Y2 - 11 October 2020 through 16 October 2020

ER -

Brunning P, Ashton G, Brown M , Robinson S, Lauder KD. Comparative Assessment of Pipeline Plough Performance Prediction Models Against Field Experience in Sand. In Proceedings of the 30th International Ocean and Polar Engineering Conference. International Society of Offshore and Polar Engineers. 2020. p. 1366-1372. (Proceedings of the International Offshore and Polar Engineering Conference).

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

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

Other files and links

Fingerprint

Seabed Ploughing: Modelling for Infrastructure Installation (Joint with Durham University)

A cone penetration test (CPT) approach to cable plough performance prediction based upon centrifuge model testing

Centrifuge testing to verify scaling of offshore pipeline ploughs

Development of a series of 2D backfill ploughing physical models for pipelines and cables

DeepOcean, UK lunch and learn session, Physical modelling of seabed ploughing for cable and pipeline installation

Hidetake Matsui

Cite this

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

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

Other files and links

Fingerprint

Projects

Seabed Ploughing: Modelling for Infrastructure Installation (Joint with Durham University)

Research output

A cone penetration test (CPT) approach to cable plough performance prediction based upon centrifuge model testing

Centrifuge testing to verify scaling of offshore pipeline ploughs

Development of a series of 2D backfill ploughing physical models for pipelines and cables

Activities

DeepOcean, UK lunch and learn session, Physical modelling of seabed ploughing for cable and pipeline installation

Hidetake Matsui

Cite this