Maintenance optimization in remote operations

PhD Candidate Ariful Islam Abu

Main Supervisor Jørn Vatn

Sponsor: Aker BP

The project focuses on the optimization of the maintenance activities in the context of unmanned/minimum manned platforms in remote offshore operations, where physical maintenance opportunities are limited. The main objective of the research is to investigate and develop optimal maintenance strategies for critical assets to efficiently utilize such limited opportunities. The focus of the research is to utilize available condition monitoring data of selected assets to develop failure prediction models and maintenance decision models to support maintenance in remote operations.

Project result: Maintenance decision support in remote operations  
A framework using predictive maintenance and grouping optimization to find best inspection and maintenance dates