Abstract
The research is devoted to the development of a risk assessment methodology based on the HAZID (Hazard Identification) method for intelligent diagnostic technology of industrial equipment of oil and gas facilities using the FMEA (Failure Mode and Effects Analysis) approach, modified algorithms of artificial immune systems, a unified artificial immune system, as well as the principles of immunological homeostasis. The results of modeling and experiments are given on the example of diagnostics of the equipment of the industrial facility of the D-304 desorber designed for the regeneration of saturated diethanolamine of the 300/800 unit for gas purification from sulfur compounds (H2S and CO2) of the TengizChevroil oil refinery.
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