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WATER TREATMENT SYSTEM OPTIMIZATION

Machine Learning

Reducing the usage of fresh water in SAGD operation is both environmentally responsible and financially desirable. The backwash process requires significant amount of fresh water to clean the filters. Understanding and preventing filter issues and taking remedial actions for anomalous behavior in water filters reduces the backwash intervals and operations down time. 

Developed and successfully deployed Clustering and Anomaly Detection models to identify anomalous behaviors in water treatment system filters.