Labor Safety Increase at the Gas Transmission Enterprise in the Arctic Climatic Zone



L.N. Alekseev, Engineer, I_Alexeev@vniigaz.gazprom.ru A.L. Terehov, Dr. Sci. (Eng.), Chief Researcher OOO «Gazprom VNIIGAZ», Razvilka, Russia

Annotation:

The main definitions of the theory of occupational risk are considered, the concept for calculating the levels of reduced occupational risk is proposed for the first time. The review is offered and the analysis is performed concerning the reliability of the existing methods of qualitative and quantitative assessment of occupational risks, including at gas transportation enterprises in the Arctic and subarctic climatic conditions. Recommendations are given on managing occupational risks taking into account specific working conditions.
Despite the long period of studying risks and a significant number of published scientific papers and normative-legal documents, there is no a single approach to understanding of the essence of risks and their classification. Based on the opinion of the authors of the article, currently used definitions of risk, occupational risk and acceptable risk do not take into account the consequences of events, the long-term effect of hidden hazardous factors, manifestations of occupational diseases and do not allow to estimate the risk quantitative values.
On the basis of the performed study the authors of the article make recommendations on the reduction of occupational risk, give the formula of calculating its relative level in order to clarify the amount of compensation for harmful working conditions and propose to use the obtained statistics on injury rate from all the objects of PAO Gazprom as the basis for the development of a probabilistic statistical methodology for occupational risk assessment.

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DOI: 10.24000/0409-2961-2017-8-67-75
Year: 2017
Issue num: August
Keywords : industrial safety occupational risk risk assessment technogenic risk extreme working conditions hazardous and harmful production factors occupational risks methods for qualitative and quantitative risk assessment
Authors: