Abstract:A central challenge for the oil industry is to make correct decisions in abnormal, complex and time-critical settings. This is to ensure safety, regularity and optimized operation and production. A new information platform has been developed to identify and localize unwanted events, and to train control room operators for optimal decision making. This platform has been implemented in an immersive CAVE environment to ensure a realistic setting and a better understanding of the problem. The system reports unwanted events in a 3D environment, and the user may obtain error handling procedures to rectify the given problem. These procedures are retrieved by semantic searches in an ontology. The ontology is stored in a central repository, and accessed through a client-server connection.