Case Study Global Energy Company Improves Safety and Asset Integrity with Machine Learning CHALLENGE Improving safety and asset integrity through digitalization and machine learning. SOLUTION The company began using Aspen Mtell® to monitor 21 assets as the foundation for asset performance management. BENEFITS Using Aspen Mtell, the customer was able to detect and predict a variety of pending equipment failures including: • All previous historical failures • An unreported sufur event • Issues in the lube oil system that went unreported by the DCS • Column flooding that was not a known issue to staff 100% accuracy in predicting equipment failuresThe customer is a global oil and gas company operating in more than 70 countries focusing on the supply, processing, distribution

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