工艺参数及设备对流动安全性的影响
[Abstract]:In recent years, scholars at home and abroad have studied the flow support technology of waxy crude oil pipeline in an all-round way. On the basis of the existing research, the efficient algorithm of failure probability of crude oil pipeline flow is explored. The orthogonal decomposition (POD) space dimension reduction technique is used to reduce the time of single restart simulation. The restart pressure calculation model based on Houska thixotropy model is used to describe the thixotropic characteristics of waxy crude oil, and Latin hypercubic (LHS) sampling method is used to overcome the shortcomings of the traditional Montocarol method, and to reduce the sampling times. The interference principle is introduced to solve the failure probability of restart and reduce the requirement of small probability to calculate the sample. Through the comprehensive application of various techniques, the calculation time is obviously reduced, the calculation model is more accurate, and the safety evaluation software for the flow of high waxy crude oil pipeline is perfected. The effect of process parameter fluctuation on the flow safety of waxy crude oil pipeline during shutdown and re-start process and operation pipeline was studied. Taking the Chinese section of Sino-Korean line as an example, the failure probability of pipeline was analyzed with the shutdown time, the outbound temperature and the volume of transportation, and the failure probability of pipeline was analyzed. The sensitivity analysis and safety margin analysis of the influence factors such as buried depth and ground temperature of the pipeline are carried out, and the transformation probability of further deterioration to the pipeline stop flow after the pipeline enters the unstable working area is put forward. To indicate the deterioration of pipeline operation. In view of the requirement of flow safety and considering the reliability of the equipment, this paper presents a safety evaluation method and process of direct heating furnace based on the whole station yard, including: automatic selection and extraction of production report data; The mean and variance of the parameters are calculated, the efficiency distribution of the heating furnace is counted, and the temperature distribution of the station is calculated by random multiple sampling. Combined with the lowest outbound temperature, the performance of the reheating furnace is evaluated and suggestions for improvement are put forward. On the basis of this, the software of process risk assessment for reheating furnace is developed, and the related examples are evaluated. The evaluation results accord with the reality.
【学位授予单位】:中国民航大学
【学位级别】:硕士
【学位授予年份】:2015
【分类号】:TE832
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