Norwegian VLCC owner Hunter Group and ship management partner OSM Maritime have begun a data analysis and optimisation project in collaboration with Nautilus Labs, Kongsberg and DNV GL, with the aim of improving ship performance and achieving ‘greener’ operations.
Nautilus will deploy its decision support software system across seven new VLCCs for Hunter Group, to centralise fleet intelligence and recommend optimal operating configurations that will reduce the vessels’ environmental footprint.
Kongsberg Digital will connect the Hunter ships to its Vessel Insight data infrastructure to assist in collecting and transmitting sensor data to the cloud for analysis by Nautilus Labs, as well as by DNV GL, which will deliver digital class and independent verification services based on the collected data.
OSM Maritime will oversee the implementation of the systems and assess the improvements made to decision making processes, to evaluate whether the new set-up should be broadened to a fleet wide implementation.
“We’re partnering with Nautilus, Kongsberg, DNV GL and OSM to collect high-frequency data from ship to shore and gain real-time insights into the performance of our vessels,” said Erik Frydendal, CEO at Hunter Group.
“Thanks to the interoperability of the technology providers the integration works seamlessly and quickly, arming our teams with the insight they need to make better data-driven decisions that promote sustainability and drive meaningful savings for our business.”
Nautilus says it will unify all relevant vessel-specific datasets collected during the project and combine them with high-frequency telemetry to build machine learning models that provide a detailed analysis of Hunter’s fleet performance.
“We’re excited to partner with Hunter Group,” said Matt Heider, CEO at Nautilus Labs.
“The company has some of the most sophisticated tankers on the market and we are confident in our ability to collaborate with OSM, Kongsberg and DNV GL to deliver significant financial and environmental returns with the client.”
