This benefit was achieved by optimising tanker-operation costs (by selecting the most viable routes), better fuel economy, lower expenditure on icebreaker support, together with less downtime, and by optimising oil exports.
Vadim Simdyakin, Head, Logistics & Oil Operations Directorate of Gazprom Neft said:
- The Kapitan system has proved itself not just as a unique digital solution, operating on cutting-edge machine-learning technologies, artificial intelligence and neural-network algorithms, but as a key element in the complex logistics system of the Arctic
- It has, clearly, proved its cost-effectiveness, and the solutions it offers can be used not just by Gazprom Neft but also other market participants operating along the Northern Sea Route
The system consolidates data from all facilities throughout the Arctic logistics chain, including tankers, icebreakers, oil loading terminals and floating oil-storage units.
The system analyses approximately 15,000 incoming data metrics, online, including data from support vessels and the tanker fleet, terminal floating storage units’ cargo tanks, information on weather conditions, forecast and actual ice conditions, and vessel movements.
The system recalculates tanker-traffic scheduling and ex-terminal oil shipments every 15 minutes, selecting the optimum solution from more than 66.5 million options.
