关键词: 长输原油管道, 减阻剂, 优化设计, 数学模型, 算法

Abstract: It is important to consider adding drag reducer for the transportation technology when making an optimization design project of crude oil pipeline. Two mathematic models for describing the relationship of hydraulic pressure gradient and drag reducer concentration with the flow rate and viscosity of crude oil and the diameter of pipeline were established. The regression parameters of the two models were obtained from the two models by genetic arithmetic (GA) optimizing technology. The two models were inspected with the actual examples. The biggest error is 2.9750 percent. On the basis of those two models, the mathematic models for optimizing designs of crude oil pipeline with and without drag reducer were proposed and solved by combining the genetic arithmetic algorithm with discrete variables, multiple forms of mixed discrete variables and database technology. This method can guarantee the reliability and veracity of the optimized solutions and also speed up the search for the optimized solutions. The solution process of the mathematic models for optimization design of crude oil pipeline is given. The example of calculation shows that the effect of the prices of drag reducer, electricity and fuel on the annual converted costs and the operating management costs must be considered when making optimization design adopting transporting plans with drag reducer. The optimum project of the calculated example is that the optimizing design considering the transportation technology without drag reducer at the average flow rate of oil is made firstly. When the flow of crude oil rate exceeds the average value, the optimizing operation using the transportation technology with drag reducer should be considered.

Key words: crude oil long-distance transmission pipeline, drag reducer, optimization design, mathematic model, algorithm