Opportunities for digitalization are currently being embraced by the oil and gas sector. However, there are few practical use cases of it yet. Lundin Norway and DNV GL have developed the first step in a solution for predicting unplanned shutdowns of Lundin Norway’s Edvard Grieg production platform.
The Edvard Grieg production platform is a modern hydrocarbon processing facility that has been in operation for nearly two years. It is located at Utsira High in the North Sea and operated by Lundin Norway (65%), OMV Norge (20%) and Wintershall Norge (15%). The energy required by this infrastructure is monitored by more than 2000 sensors. Is it possible to identify, in the data generated by the sensors, that critical equipment is about to shut down before it happens? And thereby take preventive actions to avoid production disturbances?
The Edvard Grieg production platform (by DNV GL).
Data Analytics Application
The aim of the project was to demonstrate the suitability of data analytics techniques to detect events that might cause an unplanned shutdown, and thereby initiate necessary preventive actions. Lundin and DNV GL – Oil & Gas gave four students the challenge to develop a data analytics application. With some fresh minds on board and supported by experienced experts from both companies, progress has been beyond expectations.
The students created several statistical models, which they trained using the data generated by a selection of the sensors available in the system. An application was built to analyse the results of each statistical model and generate a warning message any time there is a high probability that a trip can occur, giving the operator a time window to take preventive actions.
Picture (top): Surveyor at FPSO controle room (by DNV GL).
