摘要
混油拖尾现象与批次跟踪的准确性、调度计划的可靠性、切割方案的经济性密切相关,准确描述混油拖尾现象对控制混油量、预测油品质量指标十分重要。分析了混油拖尾曲线的变化规律,建立了混油界面非对称分布的模拟模型。基于混油界面检测数据得到混油等效密度分布特点及其梯度变化规律,分别利用Gamma、Gamma-χ~2分布函数逼近混油等效密度梯度变化曲线。通过编程模拟分布函数,近而反演出分布函数中的关键参数后,得到混油等效密度的分布曲线。基于此,分析不同边界条件和运行工况下管道系统各参数与等效密度分布函数参数的关系,得到拟合公式,进一步利用部分数据预测完整混油等效密度分布曲线,以实现等效密度曲线的实时在线预测,为顺序输送混油量预测和油品切割提供有效指导。
The phenomenon of mixed oil tailing is closely related to the accuracy of batch tracking, the reliability of scheduling plan, and the economy of oil-cutting scheme. Therefore, the accurate description on mixed oil tailing is quite significant to control the mixed oil volume and predict the oil quality. In this paper, the variation rule of mixed oil tailing curve was analyzed, and the simulation model for investigating the asymmetry distribution of the mixing interface was established. Then, the concentration distribution characteristic and its gradient change law were obtained on the basis of the data measured at the mixing interface, and the concentration gradient change curves were approximated by Gamma and Gamma-χ~2 distribution functions, respectively. The distribution functions were simulated by programming and their key parameters were inverted, the concentration distribution curve of mixed oil was established. Based on this, the relationships between the parameters of pipeline systems and the parameters of distribution functions were analyzed under different boundary conditions and operating modes, and the fitting formula was obtained. Additionally, partial data was applied to predict the whole concentration distribution curve, so as to realize the real-time online prediction on the concentration curve. The research results can provide effective guidance for the prediction of mixed oil volume and the operation of mixed oil cutting.
引文
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