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September 20, 2025SensorsOpen Access

Leveraging FMMEA for Digital Twin Development: A Case Study on Intelligent Completion in Oil and Gas

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Authors

NSNelson Gutemberg Rocha da SilvaUniversidade Federal FluminenseFPFlavia Albuquerque PontesUniversidade Federal FluminenseMSMartin Sellier SilvaMcGill University

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Implication

Case study highlights FMMEA's role in identifying failure mechanisms and improving risk management in oil and gas.

Key Points

  • The framework for FMMEA aids in identifying and assessing failures during digital twin development.
  • A major oil and gas company successfully applied FMMEA to enhance prognosis for intelligent completion systems.
  • The approach emphasizes understanding failure mechanisms for better predictions and management of outcomes.
  • Adjustments like using detectable priority risk instead of RPN improve prioritization in complex systems.

Cite This Study

Silva et al. (2025) studied this question.

synapsesocial.com/papers/68d43c87713b0b5dfea7c4e3https://doi.org/10.3390/s25185846
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