P10. AI in Pipeline Operations
The use of AI is increasingly playing a vital role in the energy sector and more specifically in the management of operational activity of bulk petroleum pipeline infrastructure and related support facilities.
Presently, AI is used to optimise product flow rates, predict equipment maintenance needs, manage repair parts inventories, manage supply chain activities, and enhance safety through real-time monitoring and anomaly detection.
These systems leverage data from sensors, integrating predictive analytics to reduce downtime and minimise the risk of leaks or failures, optimising pumping plans based on latest customer demand, volume variations at entry points, and optimal time-periods for pump-stations energy consumption. In the future, AI will likely expand its influence through greater use of autonomous systems, advanced machine learning models for predictive maintenance, and AI-driven environmental compliance, helping to further enhance efficiency, safety, and sustainability in pipeline operations.
NATO pipelines entities will need to continue to leverage AI in all main management functions (operations, plans, maintenance, warehousing, security, and finance) to stay responsive to military requirements, and efficient and effective in daily operations.