摘要
在油田地面多相混输管网优化研究中,结构参数优化是极为重要的一个问题。对这个多目标非线性规划问题,采用遗传算法进行管网结构参数优化计算,建立了优化计算的目标函数、水力热力学模型及管网分析模型,并用并列选择法和权重系数变化法对模型进行了求解。运用遗传算法对某集输管网的结构参数进行的优化计算结果表明,采用基于遗传算法的优化方法可以节省费用15%以上。
The optimization of structure parameters is an important problem in the optimization of oilfield ground multiphase gathering networks. For this multi-object nonlinear programming problem, the genetic algorithm was adopted to optimize the diameters of networks. Some models for optimum calculation including object function, hydraulic model and thermodynamic model and network analytic model were built. The parallel selection method and weight coefficient method were applied to solve the models. This method has been used to optimize the structure parameters of a gathering network. The result shows that application of genetic algorithm to calculation of structure parameters can get cost save over 15 percent.
出处
《石油规划设计》
2004年第3期25-28,共4页
Petroleum Planning & Engineering
