The industry-wide focus on Intelligent Energy in recent years has lead to more and better data being available, both onshore and offshore. Regrettably, processing tools have not seen a proportional improvement, and therefore engineers experience a data overload. Fairly simple alarms along with manual routine checks using independent, "offline" tools are dominating the daily tasks in production optimisation, and more intelligence and flexibility is thus needed. In this paper we suggest an agent structure allowing online, real-time event detection.
In this work producing oil wells watering out on Troll were used as an example. The detection algorithm was designed to search for significant drops in the wellhead pressure. By detection of such trends at an early stage, a successful correction and restabilisation is more likely.