成品油管网批次在线跟踪技术

Online Batch Tracking Technology for Multi-product Pipeline Network

成品油管网批次界面跟踪系统可基于实时运行数据实现管内批次位置实时跟踪、到站时间预测等,进而辅助站场精确掌握批次分输及混油下载时间,对于防止油品质量事故、提高站场管理效率具有重要意义。但现有批次跟踪方法基于体积推移算法,易受管内水力热力变化干扰,模型误差较大。提取管网实时流量密度数据,根据密度、阀门状态变化动态识别到站批次,并启动下游管道批次计算;基于油品体积流入、流出守恒定律构建批次界面推移计算模型,并考虑了由于混油、温度压力影响导致的油品体积动态变化,修正批次跟踪模型以补偿体积动态变化造成的批次位置偏差,最终开发了成品油管网批次界面实时跟踪系统。利用某成品油管网历史运行数据进行测试,结果表明,不考虑偏差修正的批次跟踪结果与实际到站时间的平均误差为10.87 min,而考虑温度压力修正模型的平均误差仅为3.8 min,误差降低了65%。该系统可满足管道运行管理的生产需求,有助于提高批次界面跟踪的工作效率,防止油品质量事故。

The batch interface tracking system for multi-product pipeline network can achieve real-time tracking of batch location in the pipeline and prediction of arrival time based on real-time operating data,thereby assisting the station in accurately batch distribution and mixed oil cutting,which is of great significance for preventing oil quality accidents and improving station management efficiency.However,existing batch tracking methods are based on volume injection algorithms and are subject to interference from changes in hydrothermal parameters inside the pipelines,resulting in significant model errors.This paper extracts real-time data of flow density,dynamically identifies arrival batches and starts downstream pipeline batch calculation according to the density and changes of the valve conditions,builds a batch oil volume transition calculation model based on the conservation law of the oil volume inflow and outflow as well as corrects it by considering oil volume dynamic changes due to th e mixed oil and temperature pressure,and finally develops a real-time tracking system for the batch interface of multi-product pipeline network.It conducts the test using batch transportation data of a certain multi-product refined oil pipeline network and the results indicated that the average error between batch tracking time and actual arrival time without taking in account the error correction is 10.87 minutes and the average error considering the error correction is 3.8 minutes,decreasing by 65%.The proposed system can meet the production needs of pipeline operation management,help improve the efficiency of batch interface tracking,and prevent oil quality accidents.