The legislation established that the basis for calculations of the risk of fire is not fulfillment of fire safety requirements established in the regulations on fire safety. So, as a rule, many departures from fire safety requirements dictated by the forced reduction of fire distance from the outer to the processing units adjacent to them objects of protection. Also, as a rule, many deviations from the requirements of fire safety at production facilities is dictated by the forced cuts in fire distances from process installations to the adjacent objects of protection. For example, on a typical distribution station the procedure for determining the estimated value of fire risk was shown. The structure of web-based platform for the fire risk management of fire risks in the oil refining facilities “FireRisks”, which had been used for the presented quantitative risk assessment was showed. Examples of trees of fire situations, the values of the parameters of fire hazards, depending on the distance are showed. As a result, the quantities risk values calculated, and it is concluded about the possibility of the use of information systems for further study of intellectual support of decision-making methods in the oil-refining facilities. The efficiency of the presented information system are based primarily on the opportunity to spend a significant amount of settlement of online transactions, including numerous external processing plants in a relatively short period of time. By increasing the speed and convenience of the calculations increases the variability of the analysis of management decisions, which in turn leads to a qualitative analysis of the object of protection and the formation of individual and effective measures to reduce the calculated risk values. At the moment, the work on improving the structure of the created information system, as well as the creation on its platform specific decision support tools (optimization of the location of the new processing plant in a limited area, selection of optimum measures to reduce the quantities of fire risks from a technical and economic point of view, et al.). To increase the performance of calculations elaborate on the use of optimization techniques, including genetic algorithms.