This multinational oil and gas company is among the world’s largest companies out of any industry. This $381 billion company has over 86,000 employees worldwide and a presence in more than 70 countries.

CHALLENGE

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Pipeline operations were increasingly exposed to unplanned downtime, safety risks, and limited visibility into asset health.

Frequent corrosion and leakage events led to service interruptions and heightened environmental and operational risk. At the same time, the lack of real-time monitoring made it difficult for teams to detect early warning signs and respond before issues escalated.

Without a proactive approach, maintenance remained reactive, costly, and inefficient across large, distributed pipeline networks.

• Unpredictable downtime caused by corrosion and leakage events
• Elevated environmental and operational risk exposure
• Limited visibility into real-time asset health
• Reactive maintenance strategies leading to higher costs and delays
• Inability to monitor and manage assets at scale

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SOLUTIONS

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Aligned Automation implemented a data-driven asset intelligence solution powered by IoT sensors and advanced AI/ML models.

The system continuously captures and analyzes data across the pipeline network to detect early signs of corrosion, leakage, and performance degradation.

By combining real-time monitoring with predictive analytics, the solution enables proactive maintenance and faster response to emerging risks.

Key capabilities included:

• Deployment of IoT sensors for continuous data capture across pipeline assets
• AI/ML models to predict corrosion, leakage, and asset degradation
• Early warning systems to trigger proactive maintenance actions
• Closed-loop workflows to accelerate response and resolution
• Real-time visibility into asset health across large-scale pipeline networks

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What Changed

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Operations shifted from reactive maintenance to a predictive, intelligence-driven model.

Teams can now identify risks earlier, reduce unplanned downtime, and operate with greater confidence, improving both safety and operational efficiency at scale.