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Digital Twin Framework for Subsea Pipeline Monitoring and Integrity Management

by Dulo Chukwuemeka Wegner, Itoya Moses, Ihiegbunam Onyekachi Ezenwa
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 187 - Number 52
Year of Publication: 2025
Authors: Dulo Chukwuemeka Wegner, Itoya Moses, Ihiegbunam Onyekachi Ezenwa
10.5120/ijca2025925886

Dulo Chukwuemeka Wegner, Itoya Moses, Ihiegbunam Onyekachi Ezenwa . Digital Twin Framework for Subsea Pipeline Monitoring and Integrity Management. International Journal of Computer Applications. 187, 52 ( Nov 2025), 37-51. DOI=10.5120/ijca2025925886

@article{ 10.5120/ijca2025925886,
author = { Dulo Chukwuemeka Wegner, Itoya Moses, Ihiegbunam Onyekachi Ezenwa },
title = { Digital Twin Framework for Subsea Pipeline Monitoring and Integrity Management },
journal = { International Journal of Computer Applications },
issue_date = { Nov 2025 },
volume = { 187 },
number = { 52 },
month = { Nov },
year = { 2025 },
issn = { 0975-8887 },
pages = { 37-51 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume187/number52/digital-twin-framework-for-subsea-pipeline-monitoring-and-integrity-management/ },
doi = { 10.5120/ijca2025925886 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2025-11-18T21:10:23.087016+05:30
%A Dulo Chukwuemeka Wegner
%A Itoya Moses
%A Ihiegbunam Onyekachi Ezenwa
%T Digital Twin Framework for Subsea Pipeline Monitoring and Integrity Management
%J International Journal of Computer Applications
%@ 0975-8887
%V 187
%N 52
%P 37-51
%D 2025
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The protection of subsea pipelines is vital for the proper operation of offshore oil and gas infrastructure. However, their proximity to the oceans and the differing strains placed on the pipelines pose large obstacles for their monitoring and maintenance. Subsea pipelines, while crucial, are more complex than traditionally understood. Instead of observing their importance as snapshot assessments, more focus is required on the different avenues of deterioration, including disbandment, corrosion, and fatigue. To address these shortcomings, this research puts forward the use of digital engineering as a basis for subsea pipeline monitoring and integrity management systems. This would encompass active data control, real-time predictive analysis, and high-fidelity models. The digital twin is a system of virtual representations of physical infrastructures that are automatically updated with inspection and operation datasets. Essential parameters are ROV images, protected survey data, flow and pressure readings, temperature, and even the salinity and movement of the seabed. These datasets complement closed-based finite physical models for integration and trained analytic systems, which aim to project integrity forecasting and degradation process deterioration simulation. The inclusion of uncertain and probabilistic parameters with monitored material defect oscillations offers additional rigor to the model and allows for more informed risk decision analysis. The ability for predictive reasoning is one of the innovative aspects of the framework with proactive integrity management and damage predictive analytics hotspot, inspection scheduling, and degradation life extension. Geographic information system (GIS) tools improve situational awareness with degradation and risk contour visualizations along pipeline routes. In the context of geospatial information systems (GIS), degradation-risk contour visualizations enhance operational situational awareness along pipeline routes and for pertinent surface and subsurface assets. Continuous monitoring and predictive models of subsea pipelines, along with the digital twin approach, shift integrity management from a reactive to a predictive and responsive framework. This shift to predictive adaptive management minimizes sudden failure, enhances regulatory compliance offshore, and reduces operational costs, all of which enhance the sustainable development of subsea energy infrastructure.

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Index Terms

Computer Science
Information Sciences

Keywords

Digital twin Subsea pipeline Integrity management Pipeline monitoring Real-time data Predictive maintenance ROV inspection Corrosion assessment Risk-based analysis Data integration Structural health monitoring Environmental monitoring

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