Abstract: In order to accurately evaluate operating status of oil and gas transmission rotating equipment and detect equipment failure in time so as to avoid economic losses from safety issues, a real-time quantitative risk assessment model for such equipment is established based on data mining. Firstly, indexes for risk assessment were selected considering monitoring parameters on site by using HAZOP and analytic hierarchy process (AHP) analyses. Then, in terms of problem that traditional linear calculation method of deviation degree was not suitable to characterize deviation degrees of selected indexes, a deviation calculation model for quantitative indexes was constructed based on field monitoring data mining, and it was applied in risk evaluation of a compressor unit on site. The results show that at a deviation degree of 0.141 3, the compressor unit is in good operation. However, that of differential pressure for dry gas seal filter at 0.472 6 indicates that it should be checked in time. Analysis results are consistent with operation status of the unit.

Key words: oil and gas transmission rotating equipment, data mining, quantitative risk assessment, hazard and operability study (HAZOP), deviation degree