Digital healthcare engineering for aging offshore pipelines: a state-of-the-art review

Offshore pipelines face severe environmental and operational challenges, leading to deterioration issues like corrosion and fatigue cracking. Such degradation risks casualties, property damage, and marine pollution, underscoring the need for robust lifetime healthcare. Digital healthcare engineering...

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Published in:Ships and Offshore Structures
Main Author: Mohammad Fadzil N.; Muda M.F.; Abdul Shahid M.D.; Mustafa W.A.; Hairil Mohd M.; Paik J.K.; Mohd Hashim M.H.
Format: Review
Language:English
Published: Taylor and Francis Ltd. 2024
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85209896689&doi=10.1080%2f17445302.2024.2424320&partnerID=40&md5=ee70cba2564d335c9c374d08922ca42a
id 2-s2.0-85209896689
spelling 2-s2.0-85209896689
Mohammad Fadzil N.; Muda M.F.; Abdul Shahid M.D.; Mustafa W.A.; Hairil Mohd M.; Paik J.K.; Mohd Hashim M.H.
Digital healthcare engineering for aging offshore pipelines: a state-of-the-art review
2024
Ships and Offshore Structures


10.1080/17445302.2024.2424320
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85209896689&doi=10.1080%2f17445302.2024.2424320&partnerID=40&md5=ee70cba2564d335c9c374d08922ca42a
Offshore pipelines face severe environmental and operational challenges, leading to deterioration issues like corrosion and fatigue cracking. Such degradation risks casualties, property damage, and marine pollution, underscoring the need for robust lifetime healthcare. Digital healthcare engineering (DHE) systems offer a proactive approach to managing these risks through digital twins, AI, and advanced communication technologies. DHE systems include five key modules: (1) on-site health monitoring, (2) data transmission to analytics centers, (3) digital twin-based data analytics, (4) AI-based diagnosis and recommendations, and (5) predictive health assessments for maintenance. Sensor-equipped devices measure pipeline conditions onsite, with LEO satellites supporting real-time data transfer. AI models enable diagnosis and maintenance predictions based on accumulated health data and similar environmental cases. This paper aims to review recent advances and challenges in DHE systems, with a particular focus on their application to aging offshore pipelines, and to explore practical solutions for these challenges. © 2024 Informa UK Limited, trading as Taylor & Francis Group.
Taylor and Francis Ltd.
17445302
English
Review

author Mohammad Fadzil N.; Muda M.F.; Abdul Shahid M.D.; Mustafa W.A.; Hairil Mohd M.; Paik J.K.; Mohd Hashim M.H.
spellingShingle Mohammad Fadzil N.; Muda M.F.; Abdul Shahid M.D.; Mustafa W.A.; Hairil Mohd M.; Paik J.K.; Mohd Hashim M.H.
Digital healthcare engineering for aging offshore pipelines: a state-of-the-art review
author_facet Mohammad Fadzil N.; Muda M.F.; Abdul Shahid M.D.; Mustafa W.A.; Hairil Mohd M.; Paik J.K.; Mohd Hashim M.H.
author_sort Mohammad Fadzil N.; Muda M.F.; Abdul Shahid M.D.; Mustafa W.A.; Hairil Mohd M.; Paik J.K.; Mohd Hashim M.H.
title Digital healthcare engineering for aging offshore pipelines: a state-of-the-art review
title_short Digital healthcare engineering for aging offshore pipelines: a state-of-the-art review
title_full Digital healthcare engineering for aging offshore pipelines: a state-of-the-art review
title_fullStr Digital healthcare engineering for aging offshore pipelines: a state-of-the-art review
title_full_unstemmed Digital healthcare engineering for aging offshore pipelines: a state-of-the-art review
title_sort Digital healthcare engineering for aging offshore pipelines: a state-of-the-art review
publishDate 2024
container_title Ships and Offshore Structures
container_volume
container_issue
doi_str_mv 10.1080/17445302.2024.2424320
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85209896689&doi=10.1080%2f17445302.2024.2424320&partnerID=40&md5=ee70cba2564d335c9c374d08922ca42a
description Offshore pipelines face severe environmental and operational challenges, leading to deterioration issues like corrosion and fatigue cracking. Such degradation risks casualties, property damage, and marine pollution, underscoring the need for robust lifetime healthcare. Digital healthcare engineering (DHE) systems offer a proactive approach to managing these risks through digital twins, AI, and advanced communication technologies. DHE systems include five key modules: (1) on-site health monitoring, (2) data transmission to analytics centers, (3) digital twin-based data analytics, (4) AI-based diagnosis and recommendations, and (5) predictive health assessments for maintenance. Sensor-equipped devices measure pipeline conditions onsite, with LEO satellites supporting real-time data transfer. AI models enable diagnosis and maintenance predictions based on accumulated health data and similar environmental cases. This paper aims to review recent advances and challenges in DHE systems, with a particular focus on their application to aging offshore pipelines, and to explore practical solutions for these challenges. © 2024 Informa UK Limited, trading as Taylor & Francis Group.
publisher Taylor and Francis Ltd.
issn 17445302
language English
format Review
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record_format scopus
collection Scopus
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