Case Study: Aker BP achieves faster oil-in-water troubleshooting and $6M in annual savings with Cognite Data Fusion

How Aker BP Is Taking a Hybrid Machine Learning Approach to Production Optimization

Aker BP, an independent oil and gas operator on the Norwegian continental shelf, needed a faster way to identify the causes of high oil-in-water levels while staying within environmental regulations and avoiding production losses. Cognite supported the effort with Cognite Data Fusion™ and related Industrial DataOps capabilities, helping Aker BP improve troubleshooting for produced water contamination.

Cognite, working with Expert Analytics, implemented a smart monitoring system and a machine learning-based recommender system that combines near real-time sensor data, virtual sensors, and simulator outputs. The solution gives engineers a single dashboard to pinpoint likely sources of oil-in-water issues faster, improving situational awareness and supporting compliance; Aker BP estimates the approach could deliver about $6 million in annual revenue potential and help reduce environmental risk.

Aker BP