SAFETY4SEA Conference & Awards
2017
Learn More
SAFETY4SEA Conference & Awards
2017
Learn More

Data analytics techniques to reduce downtime

data
Credit: DNV GL

DNV GL announced that it has cooperated with Lundin Norway, to develop 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 hydrocarbon processing facility that has been in operation for nearly two years, 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 2,000 sensors. 

The aim of this 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. 

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. 

“Engineers with domain knowledge of oil and gas operations are critical to complement the data analytics approach. This means that DNV GL, as a technically skilled company, has a significant role to play in the digital future,” says Kjell Eriksson, Regional Manager Norway, DNV GL – Oil & Gas.

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