FORMING OF TECHNOLOGICAL FLOWS PARAMETERS LIST DETERMINED THE FIRE RISK

Abstract

Oil refineries are a very likely source of man-made threats to humans and the environment. To avoid occurrence of emergency incidents, it is necessary to invest in the processing plants and other industries for industrial safety. When drawing up financing action plans, it is necessary to identify the most dangerous bottlenecks in the plant's technological chain in terms of the risk of fire or explosion. Identification of the most critical parts of the technological process is possible by ranking the facilities according to the parameters of hazardous substances circulating in equipment and pipelines. It is shown that the process of burning of a hazardous substance undergoes several stages – the occurrence of a fire, the development and spread of combustion, the identification of consequences and their elimination. At different stages of a fire or explosion, various indicators serve as hazard criteria. The article is devoted to the formation of a bank of parameters that determine the stage of a fire or explosion. The proposed method - decision making by the Saati method with a qualitative pairwise comparison of the parameters was realized using the example of one of the oil refineries in the Republic of Bashkortostan. In the process of refining the plant, about 20 types of hazardous substances are circulating with a total of about 366 thousand tons. On the basis of the Federal Law «Technical Regulations on Fire Safety Requirements» dated 22.07.2008 No 123-FZ, a list of parameters from 16 items defining the fire hazard of technological flows in the liquid and gaseous aggregate state was formulated. The list obtained is optimized for the stage of a fire or explosion. With the help of the correlation analysis, the parameters in the single-valued pair relationship of significance level 95 % are excluded. The generated sample of four independent parameters of hazardous substances is ranked by the method of paired comparisons and linear convolution. The importance of each independent parameter is established.