Pipeline operators face significant challenges in managing corrosion, which leads to high operational costs in maintenance, repair, and risk management. Traditional methods of corrosion assessment often lack predictive accuracy, resulting in suboptimal maintenance schedules, costly repairs, and potential safety hazards. As pipelines age, the ability to accurately predict future corrosion becomes critical in avoiding operational disruptions and environmental hazards. The industry needs a cost-effective, data-driven approach to optimise pipeline reliability while minimising maintenance costs and extending the lifespan of critical infrastructure.
