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September 10, 2025

Integrated Fuzzy AHP and SAM Decision Framework for Offshore Pipeline Risk Management

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The improved model significantly enhances decision-making for subsea pipeline risk management by incorporating environmental and operational factors.
Utilizing Bayes' theorem and fuzzy logic, the framework calculates updated risk probabilities based on expert data and prior estimates.
Key environmental factors include seabed conditions, hydrostatic pressure, and corrosive environments, all affecting pipeline durability.
The new approach aims to support optimal design choices and ensure safer operational practices for subsea pipelines.

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This framework assesses risk factors impacting subsea pipelines, suggesting enhancements for safer design and operation.

Ismayilov et al. (2025) studied this question.

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