Extending lifetime of Norwegian oil installations using predictive maintenance through condition and remaining useful life estimation

PhD Candidate Endre Sølvsberg

Main Supervisor Per Schjølberg

Sponsor: OKEA

The goal of the project with OKEA is to extend the lifetime of existing, ageing oil platforms using classical statistical and mathematical methods for estimating condition and remaining useful life (RUL) of machines and processes. This allows for a predictive maintenance (PdM) approach, which will help optimize the maintenance strategy for the oil platforms and aid in extending their lifetime. A hybrid approach, using both classical and AI methods, has been proposed in the beginning of this project. This has caught the interest of standardization organizations and will most likely be part of a future standard.