基于神经网络方法的油气集输管网拓扑优化设计

The Topology Optimization Design of Oil-Gas Gathering and Transportation

对油气集输系统进行拓扑优化设计,可以收到显著的经济效益。本文以原油集输费用为目标函数,以井站隶属关系的唯一性、满足各站的储油能力及位置空间限制等为约束条件,建立了多级星式集输网络拓扑优化数学模型。该模型属非线性混合整数规划问题,采用神经网络方法求解,并给出了计算机软件算法框图。

The design of topology optimization of oil-gas gathering and transportation system can lead to remarkable economic result. In this article, a topology optimization mathematical model for star gathering system is established with the crude transport costs as objectivefunction, unique relation between wells and stations, enough crude tank volume on stations and locality space limitation as constraint conditions. This model is nonlinear mixed integer programming and can be solved with neural network method and the chart of computer calculation process is also given.