Gazprom Neft and Zyfra ink agreement to develop digital products, eye foreign markets

Gazprom Neft and Zyfra ink agreement to develop digital products, eye foreign markets
Published: 11 June 2019 - 9 a.m.
By: Carla Sertin

Gazprom Neft and Zyfra have agreed to set up a joint venture to work on developing digital products to manage industrial processes. A preliminary agreement was signed at the St. Petersburg International Economic Forum by Andrey Belevtsev, director for digital transformation at Gazprom Neft, and Igor Bogachev, CEO of Zyfra.

The collaboration will be focused on developing digital services for integrated planning, operational planning and record keeping at oil refineries, monitoring and product quality control.

“By applying digital solutions, we can improve the efficiency of our business through accelerating projects and providing a better service to customers. These technologies have great potential for the entire industry, so the new joint venture will help to disseminate best practices across the market, engaging new partners in our digital ecosystem,” said Belevtsev.

The target partners for sales of the new products will be Russian and foreign companies in the oil & gas and chemicals industries.

“We are pooling our efforts to offer clients in Russia and other countries some fundamentally new digital products for managing oil & gas production and refining processes. Their main advantage will be technological innovativeness and their proven economic benefit in the form of substantial resource savings and lower losses,” said Bogachev.

Gazprom Neft has been developing its own integrated systems since 2017 together with IT market leaders. This new phase of technology partnership with Zyfra is intended to develop the experience already built up by the companies through joint implementation of projects to digitalise oil refining.

In particular, the companies say that closer cooperation will drive the development of cutting-edge corporate management information systems in the fields of operational planning, dynamic prediction of key indicators, loss identification, operational record keeping and optimisation of energy resource management.

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