LNG carrier combines ABS smart maintenance notations
04/09/2026
GasLog has become the first liquefied natural gas (LNG) shipping company to receive a combined set of advanced machinery health monitoring (MHM) notations from ABS, the classification society, marking another step towards condition-based maintenance replacing traditional fixed overhaul schedules.
ABS has awarded the SMART (MHM) notation to one of GasLog’s LNG carriers, making it the first gas-carrier globally to receive the notation alongside the ABS Preventative Maintenance Programme (PMP).
The SMART (MHM) notation recognises vessels equipped with permanently installed MHM systems capable of continuously assessing equipment condition, detecting anomalies and predicting degradation before failures occur.
The project was developed with Propulsion Analytics and the Greek technology company's digital platform combines high-frequency engine data with lubrication analysis, vibration monitoring and planned maintenance records to create what GasLog describes as a holistic condition-based maintenance system.
Patrick Ryan, Senior Vice President and Chief Technology Officer at ABS, explained that the award demonstrated how advanced analytics could improve the reliability of gas carrier operations.
“By meeting ABS requirements for the SMART (MHM) notation, GasLog is demonstrating that machinery health monitoring at this level can deliver meaningful operational benefits including enhanced predictive maintenance capability and improved machinery reliability,” said Ryan.
Lampros Nikolopoulos, Asset Integrity Manager at GasLog, commented that this milestone meant the company was close to completing its fleetwide transition to SMART (MHM) notation under its lifecycle maintenance strategy.
He said the class-approved engine condition-based maintenance scheme allows for more intelligent intervention on engine components while optimising overhaul intervals, lowering total ownership costs, improving operational flexibility and reducing fleet carbon emissions.
Panos Kyrtatos, Chief Executive Officer at Propulsion Analytics, said that the project represented the culmination of four years of collaboration between the companies.
“The result is earlier detection of engine degradation, reduced unnecessary maintenance and measurable savings in spare parts and service costs, while significantly improving machinery reliability and performance,” said Panos.
