The energy sector is facing a critical challenge as around 500,000 kilometres of oil and gas pipelines worldwide require urgent renovation. With leaks and ruptures costing the industry over $7 billion annually, the adoption of AI and smart monitoring systems is becoming essential. These technologies aim to shift pipeline management from reactive responses to proactive maintenance, potentially reducing operating costs by up to 30%.
However, this technological transformation comes with a significant concern: the retirement of experienced engineers. As seasoned professionals leave the industry, their invaluable knowledge is at risk of being lost. This ‘silver tsunami’ could hinder the effectiveness of AI systems, which rely on historical data and expertise to function optimally.
Companies like ROSEN are addressing this knowledge gap by creating extensive data warehouses to train predictive models. These models can identify corrosion risks and assess the condition of pipelines, ensuring that the transition to smart infrastructure is both efficient and secure. Yet, the growing reliance on digital systems raises questions about operational understanding among newer workers.
Ultimately, while AI can enhance pipeline safety and efficiency, the industry must balance technology with human expertise. Ensuring that the next generation of workers is equipped with the necessary skills will be crucial for maintaining energy security and operational resilience in the face of evolving challenges.
Source: Euronews
