Click to read: “Use of machine learning in nondestructive material property verification”
Intisar Rizwan I Haque, Yasamin Salamat, Simon Bellemare
Cutting Costs by Cutting Assumptions: How One Operator Saved $1.2M
When routine inspections flagged dozens of anomalies on a legacy pipeline, a major Canadian operator was forced into reactive mode—triggering 50 urgent digs and putting pressure on budgets, teams, and timelines. But what if those digs weren’t actually necessary? In...