Data-driven condition-based maintenance for LNG transport systems via pipeline
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Date
2025
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Abstract
This work presents an integrated approach to Condition-Based Maintenance (CBM) for
natural gas pipelines, focusing on the Hassi R’Mel network in Algeria. Combining Bowtie
analysis, interval Principal Component Analysis (PCA), and finite element simulation using
ABAQUS, the study offers a comprehensive framework for failure prevention. Bowtie analysis
identifies critical causes and consequences of faults; interval PCA detects anomalies from
pressure, temperature, and flow data; and finite element analysis models the mechanical
behaviour of corroded sections under overpressure. Results highlight the importance of
continuous pressure monitoring and material integrity assessment. This methodology enables
early fault detection, informed decision-making, and improved safety in pipeline operations,
significantly reducing the risk of unexpected failures.