A digital industrial-safety control system has been put into commercial operation at the Gazprom Neft Omsk Refinery’s gas fractionation unit. Using neural network elements it is now possible to obtain information on this production facility’s condition and status online, and to predict and prevent potential deviations from norm, in advance. This project has been implemented together with Rostechnadzor (the Russian government’s supervisory agency for ecological, technological, and nuclear issues). This cutting-edge system will be able to be deployed at other industrial plants, going forward.
All data on the facility’s operational parameters are continuously fed into the integrated control centre at the Omsk Refinery, and the situation room at Rostechnadzor. The system operates through a Russian-produced software platform, developed by predictive-analytics systems specialists Russian Telecom Equipment Company (RTEC) — Software Systems.
“Collaborating with Gazprom Neft on deploying this remote-controlled industrial safety system will provide the industry with automatic predictive tools, tools for assessing the risk of emergency situations arising, and tools for taking preventative measures to avoid these. Industrial safety is determined not by frequency of inspections, but by business transparency and the practical use of proactive emergency and incident risk management, based on modern digital technologies for ongoing monitoring and analysis.”Sergei Nagibin CEO, RTEC — Software Systems
“The operation of the company’s refining assets is predicated on unquestioning compliance with industrial and environmental safety requirements. We are deploying modern technologies that mean we can monitor technological processes round the clock and, where necessary, correct the slightest deviations. Our job is to increase operational efficiency while ensuring absolute industrial safety — and we are consistently moving towards that goal.”Sergei Ovchinnikov Head of Control Systems and Digitalisation, Gazprom Neft
Neural networks are mathematical models, or software or hardware configurations, built on the same principle as that governing the way networks of nerve cells in a living organism operate. Algorithmic simulations are used in forecasting, image recognition, and object management.
Gazprom Neft is undertaking a major programme to modernise its Moscow and Omsk Refineries. The first stage of this modernisation has involved the construction and reconstruction of key technological facilities, allowing the complete transition to the production of Euro-5 fuels, significantly improving energy efficiency and environmental friendliness in production. The implementation of the second phase of the modernisation programme is ongoing, as a result of which refining depth (the “conversion rate”) and light product yield will increase to match the highest international standards.