油气输送动设备实时定量风险评估模型

为准确评价油气输送动设备运行状态,及时发现设备故障,避免由安全问题带来的经济损失,构建一种基于数据挖掘的油气输送动设备实时定量风险评估模型。运用危险与可操作性分析(HAZOP)和层次分析法(AHP),结合现场监测参数构建设备风险评估指标;针对传统偏离度线性计算方法不适用表征设备运行指标偏离程度的问题,运用现场监测数据挖掘的方法建立指标偏离度计算模型,并将该模型应用于现场压缩机组风险评估。结果表明:压缩机组整体偏离度为0.1413,运行情况良好;其中干气密封过滤器差压的偏离度为0.4726,应及时检查,分析结果与机组运行情况相符。

Real-time quantitative risk assessment model of oil and gas transmission rotating equipment

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 0.1413,the compressor unit is in good operation.However,that of differential pressure for dry gas seal filter at 0.4726 indicates that it should be checked in time.Analysis results are consistent with operation status of the unit.