Design and Implementation of a Digital Twin‑Enabled Predictive Maintenance Strategy for Subsea Control and Distribution Units

Authors

  • Malvern Iheanyichukwu Odum Shell Nigeria Exploration and Production Company (SNEPCo), Nigeria Author
  • Iduate Digitemie Jason Iduate Digitemie Jason, Nigeria Author
  • Dazok Donald Jambol D-Well Engineering Nig. Ltd. (Shell Petroleum Development Company of Nigeria) Author

Keywords:

Digital Twin, Predictive Maintenance, Subsea Control Systems, Offshore Oil and Gas, Condition Monitoring, Failure Mode and Effects Analysis (FMEA)

Abstract

This paper presents a comprehensive framework for the design and implementation of a digital twin-enabled predictive maintenance strategy for subsea control and distribution units, critical components in offshore oil and gas production systems. Traditional time-based and reactive maintenance approaches are increasingly inadequate due to the complex, remote, and high-cost nature of subsea interventions. The proposed strategy integrates layered system architecture, real-time sensor data acquisition, and advanced predictive modeling to identify asset degradation and optimize maintenance planning proactively. A detailed conceptual framework is developed, encompassing the physical asset layer, analytics engines, and operator-facing visualization interfaces. Emphasis is placed on integrating the digital twin with existing legacy infrastructure, highlighting solutions for sensor retrofitting, data protocol harmonization, and model compatibility. Secure, low-latency data flow infrastructure is also explored, ensuring reliable transmission of operational intelligence from subsea to topside systems. The strategy further incorporates failure mode and effects analysis (FMEA) to prioritize assets based on criticality and guide predictive trigger configuration. A structured deployment workflow, coupled with a human-machine interface designed for usability and decision support, ensures operational adoption. Finally, a closed-loop feedback mechanism supports continuous model refinement based on real-world system responses and operator insights. The digital twin approach enables significant operational benefits, including improved system uptime, reduced intervention costs, and extended asset life. The paper concludes by outlining implementation considerations and future opportunities, including the integration of AI for autonomous diagnostics and enterprise-wide connectivity.

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11-05-2023

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Research Articles

How to Cite

[1]
Malvern Iheanyichukwu Odum, Iduate Digitemie Jason, and Dazok Donald Jambol, “Design and Implementation of a Digital Twin‑Enabled Predictive Maintenance Strategy for Subsea Control and Distribution Units”, Int J Sci Res Civil Engg, vol. 7, no. 3, pp. 196–214, May 2023, Accessed: Jul. 31, 2025. [Online]. Available: https://ijsrce.com/index.php/home/article/view/IJSRCE237320