CFD Analysis on Double Leaks of Subsea Pipeline Leakage

The transportation of materials through industrial pipelines is essential in many sectors. However, pipeline leakage is a common and potentially devastating issue, particularly in subsea environments. Although extensive research has been conducted on pipeline leak detection, the specific dynamics of double leaks in subsea pipelines under varying fluid velocities have not been thoroughly investigated. This study used numerical simulations with ANSYS FLUENT, based on the standard k–ε model under steady-state conditions, to examine the effects of fluid velocity on the leak flow rate, pressure distribution, and turbulence kinetic energy in double-leak subsea pipeline models. The results indicate that changes in pipeline fluid velocity have a minimal impact on the flow behaviour in the leak regions. Notably, the leak flow rate in the first leak consistently exceeded that in the second leak. The pressure around the leaks exhibits fluctuations owing to turbulence, which diminishes further from the leak points towards the pipe centreline. These findings suggest that leak detection systems should be positioned near the pipe surface to enhance the detection accuracy and effectiveness. This study provides valuable insights into the fluid dynamics of double leaks in subsea pipelines and contributes to improved leak management strategies

Authors

Institutions

Publication Details

Journal
Journal of Advances in Fluid Heat and Materials Engineering
Published
2025-04-07
DOI
https://doi.org/10.37934/afhme.1.1.1026a
Citations
1
Primary Topic
Offshore Engineering and Technologies
Type
article
Field-Weighted Citation Impact
1.15

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

CFD Analysis on Double Leaks of Subsea Pipeline Leakage

Awaludin Martin, Ishkrizat Taib, Yi Hong, Ridwan Abdurrahman et al.
1 citations
Journal of Advances in Fluid Heat and Materials Engineering
Offshore Engineering and Technologies
1.15
article

CFD Analysis on Double Leaks of Subsea Pipeline Leakage

Awaludin Martin, Ishkrizat Taib, Yi Hong, Ridwan Abdurrahman, Feblil Huda, Nurnabila Syuhada Azian, Muhammad Asral, Wu Shunfann, Yap Wee Hang, Melchiades Joeffrey
article en
1 citations

Abstract

The transportation of materials through industrial pipelines is essential in many sectors. However, pipeline leakage is a common and potentially devastating issue, particularly in subsea environments. Although extensive research has been conducted on pipeline leak detection, the specific dynamics of double leaks in subsea pipelines under varying fluid velocities have not been thoroughly investigated. This study used numerical simulations with ANSYS FLUENT, based on the standard k–ε model under steady-state conditions, to examine the effects of fluid velocity on the leak flow rate, pressure distribution, and turbulence kinetic energy in double-leak subsea pipeline models. The results indicate that changes in pipeline fluid velocity have a minimal impact on the flow behaviour in the leak regions. Notably, the leak flow rate in the first leak consistently exceeded that in the second leak. The pressure around the leaks exhibits fluctuations owing to turbulence, which diminishes further from the leak points towards the pipe centreline. These findings suggest that leak detection systems should be positioned near the pipe surface to enhance the detection accuracy and effectiveness. This study provides valuable insights into the fluid dynamics of double leaks in subsea pipelines and contributes to improved leak management strategies

Journal of Advances in Fluid Heat and Materials EngineeringVol. 1(1)
Riau University (ID), Tun Hussein Onn University of Malaysia (MY)
Universiti Tun Hussein Onn Malaysia
Openalex Percentile: Top 25%
Offshore Engineering and Technologies
1.15
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.