Case Study

25% reduced downtime with KPI-driven performance monitoring of flares to identify anomalies and reduce pollution

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.



Aligned Automation implemented a data-driven approach using IoT sensors and AI/ML models to predict pipeline corrosion, leakage, and overall asset health. This enabled:

Capabilities leveraged

Data & Analytics

Process Transformation




Reduced downtime:

significant reduction in service interruptions

Risk mitigation:

lowered operational and environmental risks

Asset health monitoring

enabled continuous visibility into asset health

Cost efficiency:

users engaged across 37 offshore drilling units in 10 countries

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