Abstract
The paper considers the practical application of the Failure Mode and Effect Analysis method to assess the operational reliability of the oil refineries' equipment, which is a pressing problem for the oil-producing regions and countries. Oil refineries are hazardous industries, and therefore the construction, adaptation and testing of effective risk analysis methods is an important task. The solution to this problem provides the basis for corrective management action to reduce the probability of damage from accidents to humans and the environment. The method is based on the detection probability of inconsistencies and involves elaborate ways to increase the reliability and security through risk analysis method. The approbation is performed for the Failure Mode and Effect Analysis method to assess the reliability based on the detection of defects typical to oil and gas facilities. The basic steps of the Failure Mode and Effect Analysis method are provided and show the possible options for scaling required to obtain quantitative risk assessments. The result was the quantitative risk assessment for oil transportation facilities. The supporting method for quantifying risk in emergency situations on the equipment are encouraged to use a fuzzy logic approach. The paper describes the main steps of this approach shows its applicability and the possibility of formation for quantitative estimates of the hazards of various defects in the equipment.
Highlights
1.1 Introduce the ProblemModern economic development in many regions of the world is closely linked with the development of production, transportation and processing of minerals, including oil and gas
The quality of the solutions formed by the algorithmic core and capabilities of the used models of the process equipment systems and processes depends on the efficiency of using intelligent systems, and the performance, reliability and efficiency ("return") of industries in which they are used, and which are the support for the oil and gas industry development
The present study obtained results suggesting that the FMEA method in conjunction with the supporting fuzzy logic method can be effectively used for risk assessment in oil refineries and oil and gas industry as a whole
Summary
1.1 Introduce the ProblemModern economic development in many regions of the world is closely linked with the development of production, transportation and processing of minerals, including oil and gas. It becomes obvious that without improving the production efficiency, transportation and processing of mineral resources is not possible or very difficult further to support the positive dynamics of the development in this industry. Under these circumstances, the priority comes to the problems of low efficiency and unsystematic use of technological machinery and equipment in the oil and gas industry. Substantial progress in the areas mentioned above can be achieved through the development, deployment and use of modern management systems, diagnostic and prognostic indicators of technological equipment reliability The basis of such systems tends to put the algorithmic core and model of the production equipment and technological processes system. The quality of the solutions formed by the algorithmic core and capabilities of the used models of the process equipment systems and processes depends on the efficiency of using intelligent systems, and the performance, reliability and efficiency ("return") of industries in which they are used, and which are the support for the oil and gas industry development
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