SIBUR introduces a unique digital technology to model gas chemical reactions

Moscow, November 5 - Neftegaz.RU. SIBUR has rolled out Russia’s one-of-a-kind solution that makes it possible to accurately model physical and chemical processes at petrochemical facilities. The pilot was launched at Tomskneftekhim, where low-density polyethylene reactor was digitally modelled to deliver a considerable reduction in the related operational expenses.

Ethylene is polymerised at a pressure of 2,400 atm, which is twice as much as at the bottom of the Mariana Trench. For a long time, the polymerisation process was only modelled for academic purposes. SIBUR, with the help of its own R&D arm, became one of the global trailblazers in making this a practical effort.

“The company has long been focused on modelling and optimising accompanying production processes, generating economic benefits that amount to hundreds of millions of roubles annually,” said Darya Borisova, Managing Director supervising SIBUR's R&D activities. “Having successfully begun to model reaction-based processes, the cornerstone of petrochemical production, SIBUR now has the R&D expertise to compete on an equal footing with the industry’s global leaders. Moreover, this is a perfect example of contribution to the scientific and production capacity of the Russian manufacturing industry and import substitution in intellectually intensive fields.”

In continuous production in the petrochemical industry, even minor tweaks in the process can result in strong benefits or major losses. The risks include non-conforming products with substandard quality and loss of margin. The digital model of a gas chemical reactor developed by NIOST provides room for manoeuvre and experiment as companies search for the best and most efficient operational mode with zero idle time.

The digital model of the Tomsk reactor has already helped to test 139 combinations of process parameters and rate of consumption for the feedstock and reaction initiators. As a result, the best possible mode of operation was determined, reducing the rate of consumption of costly additives by 12% without compromising the quality. The expected annual savings could reach RUB 50–60 m facility-wide.

“Another area of optimisation is focused on identifying process parameters that will boost productivity. This many physical experiments would take a decade to complete and, assuming potential losses, would cost the company ca. RUB 1 bln. Digital calculations, including the development of the model itself, required some 18 months and only RUB 15 m,” says Vladimir Bushkov, Executive Director at NIOST.