Case Study: a global chemical company improves furnace availability with C3 AI Reliability

global chemical company extends furnace run lengths by 10+ days with C3.ai

The customer, a global chemical company, faced challenges with unplanned downtime and sub-optimal maintenance schedules for its critical steam cracking furnaces. Their existing monitoring tools provided limited early warnings for reliability issues. To address this, they partnered with vendor C3.ai to deploy the C3 AI Reliability application on Microsoft Azure.

C3.ai implemented a solution that unified data from multiple systems to develop over 20 machine learning models for predicting failures and forecasting coking rates. The results were significant, including an extended average furnace run length by over 10 days and a 1.4% increase in utilization, which translates to an estimated annual economic benefit of over $45 million when scaled. The C3.ai solution provided the company with near real-time monitoring and a scalable platform for predictive maintenance.