Predictive maintenance solution for compressors on the Skarv platform

The Skarv oil field is located in the northern part of the Norwegian Sea, and is Aker BP’s northernmost producing field. The field is developed with a production ship with storage and offloading capacity (FPSO), and has one of the worlds’ largest offshore gas processing plants.

Historical electrical failures on the compressor trains at Skarv have caused major production losses and costly repairs.

Clear error patterns are identified through statistical methods and machine learning, and a dashboard has been developed to visualise the deviations and KPIs.

After the test phase, the solution will be produced in Karsten Moholt’s cloud-based predictive maintenance platform – SkAIwatch.