Inspection/maintenance

This study examines the implementation of a predictive maintenance method using artificial intelligence and machine learning for offshore rotating production-critical equipment. Conducted over 2 years at Murphy Oil’s deepwater platforms in the Gulf of Mexico, the project aimed to detect equipment issues early, reduce downtime, and streamline maintenance processes.
The planned use of an uncrewed surface vessel to inspect shallow-water infrastructure for Petrobras follows a previous remote operation survey for the operator.
The latest phase of the Sureflex Joint Industry Project, which dates back almost 30 years, provides data-driven industry guidance relating to unbonded flexible-pipe population and damage/failure statistics, integrity management, and good practice.

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