Lloyd’s Register was tasked with processing a large volume of data to conduct experiments on LNG tankers for their Oil and Gas clients. Their existing toolset lacked a standard and efficient way to store and analyse the data.
QiO Foresight Maintenance provided Lloyd’s Register with a secure and repeatable process to analyse and back up big data on the Cloud with high resiliency. A digital twin of the tank and ship was created with sensor and strain data to identify LNG tank peak pressure correlation and create fatigue models. The insights allow engineers to address possible failure points and ensure the safety of the tankers.
How can we analyse LNG tanker integrity in a secure, fast and repeatable way?
Significantly reduced the time to produce tanker fatigue models.