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 (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.

Publication Details

Journal
UCL Discovery (University College London)
Published
2024-11-14
Primary Topic
Magnetic confinement fusion research
Type
article
Field-Weighted Citation Impact
0.00

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article

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

UCL Discovery (University College London)
Magnetic confinement fusion research
article

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

article en

Abstract

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.

UCL Discovery (University College London)
Universiti Teknologi MARA
Life below water
Openalex Percentile: Top 80%
Magnetic confinement fusion research
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