The Silver Tsunami Beneath the Pipelines
The energy sector is turning to artificial intelligence to manage its aging infrastructure, but the real crisis may be the disappearance of human expertise.

There is a quiet crisis unfolding beneath our feet. Around half a million kilometres of the world's oil and gas pipelines are in urgent need of renovation or replacement. The current state of affairs is costly, with leaks and ruptures draining over seven billion dollars from the sector annually, and embarrassingly inefficient, as nearly half of all failures go undetected for the first 24 hours.
The proposed remedy, discussed with some urgency at the recent Baku Energy Forum, is a predictable cocktail of modern buzzwords: sensors, machine learning, and real-time monitoring. The industry hopes to shift from a reactive posture of fixing breaks to a proactive one of anticipating them. This digital transformation is being hailed as a new era of intelligent infrastructure, a seamless ecosystem of predictive maintenance and operational optimisation.
Yet, the most pressing challenge may not be aging steel, but an aging workforce. Industry experts speak of a 'silver tsunami,' as experienced engineers head for retirement with few young professionals to replace them. This exodus threatens to erase decades of practical knowledge built through fieldwork, a crucial asset for managing complex infrastructure.
Gaurav Singh of ROSEN warns that without a plan, the industry risks losing vast reservoirs of experience. He frames digitalization as a crucial effort to preserve this accumulated expertise before it vanishes. After all, artificial intelligence is only as good as the historical data it is trained on, and this human knowledge is the most valuable dataset available.
Companies are now in a race to build vast digital archives, essentially creating an electronic memory of their operations. ROSEN, for instance, is compiling data from thousands of inspection runs and billions of recorded anomalies. This information is then used to train predictive models that can assess corrosion risks and estimate the condition of pipelines that have yet to be physically inspected.
Of course, this growing reliance on software raises familiar concerns about operators becoming dependent on tools they do not fully understand. Christopher Wiig of ABB Energy Industries dismisses these fears as old as the Industrial Revolution, arguing that digital systems are meant to support, not replace, human workers. The goal is to augment capabilities, not render people obsolete.
Ultimately, the conversation returns to more tangible matters: security and money. Securing major energy corridors like the Southern Gas Corridor involves a combination of personnel, physical, and cybersecurity measures. The financial incentives are compelling, with forecasts suggesting regional investment in smart pipelines could reach $2.4 billion by 2030, potentially slashing operating costs by up to 30 percent. For an industry facing an existential transition, such efficiencies are not just an advantage; they are a necessity.
Written by Christiane Hofreiter christiane.hofreiter@alpineweekly.com