Shutdowns and equipment deterioration are costly for the business. With simulators and Hybrid ML, Kognitwin Energy can help in the prediction of issues and more efficient operations.
The asset was facing frequent shutdowns and the customer would like to improve its uptime. The costs to resume operations were always high, besides experiencing performance, productivity and revenue loss.
These were some struggles presented by the Head of Operations of our Energy customer when they decided to give an extra step and check if they could implement measures before having unfavourable consequences.
Their main challenge was to detect the times when the equipment was not operating as expected. These were common precursors for potentially costly errors. However, these errors were infrequent, and the failure modes were numerous.
This is a US-based company engaged in hydrocarbon exploration and production. With 60+ years of history and 4.000+ employees, the customer also operates in petroleum and natural gas gathering, processing, treating, and transportation.
The customer evaluated different vendors against specific requirements and selected Kongsberg Digital as its digital twin provider based on our solid simulation experience, proven technology and the superior Hybrid Machine Learning functionality.
To emulate the plant in its normal operating conditions, physical simulators and Hybrid ML technology were implemented. Differences between the physical simulators and the real plant were used to detect potential errors by using outlier detection algorithms.
Deviations between actual and expected performance can give insight into:
The implementation of a real-time solution enabled the customer to detect potential errors earlier, allowing for maintenance or changes to operating conditions. Thereby, costly shutdowns or equipment deterioration could be avoided in a more efficient and smart manner.
Potential results from implementing Kognitwin Energy for Condition Monitoring:
Aside from providing virtual replicas of energy facilities, Kognitwin? Energy offers easy access to monitoring, dynamic simulation, and high-quality predictions in real time.
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