三维地形下环枝状复合型集输管网拓扑结构优化
Topology optimization of composite looped-dendritic gathering pipeline network in 3D terrain
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摘要: 集输管网拓扑结构优化是油气田地面集输系统优化的一个重要组成部分, 不同的拓扑结构将直接影响集输系统建设开发的经济效益。目前, 集输管网的拓扑结构优化研究多集中于枝状管网、放射状管网、环状管网等单种管网连接形式, 对一环带数枝的环枝状组合形式的复合型集输管网优化研究较少。为此, 提出了新的优化方法, 其以一种寻找最优环的方法为基础, 将各井口就近插入环网, 形成一环带数枝的环枝状复合型管网。以管网总费用最少为目标函数, 考虑地形起伏等因素对管道走向的影响, 研究了环枝状复合型集输管网在三维地形下的拓扑结构优化问题, 并提出了耦合遗传算法和A*算法的方法求解模型。利用已有文献中的某煤层气田集输管网作为算例进行验证, 结果表明: 优化后的管网连接方式可以减少环枝状集输管网连接长度, 降低集输管网建设的投资费用, 且该方法不仅可以实现二维平面上的优化, 在对地形进行模拟仿真后, 也可用于三维地形下的管网优化。Abstract: Topological optimization of gathering pipeline network is an important part of the optimization of surface gathering and transportation system in oil and gas fields, and different topological structures have direct effect on the economic benefits of construction and development of gathering systems. At present, the researches on the topological optimization of gathering and transportation pipeline network focus on the dendritic pipeline network, radial pipeline network and loop pipeline network, but less on the optimization of composite gathering and transportation pipeline network with one loop connecting with multiple branches. In this paper, a new optimization method was developed based on a method of searching the optimal loop. In this method, each wellhead is interpolated into its nearest loop network to form a composite looped-dendritic pipeline network with one loop connecting with multiple branches. Then, the effects of multiple factors(e.g. topographic relief) on the pipeline route were taken into consideration to study the topological optimization of composite looped-dendritic pipeline network at 3 D terrain with the least pipeline cost as the objective function and the related gathering conditions as the constraints. Besides, a new algorithm combining the coupling genetic algorithm with the A* algorithm was proposed to resolve the optimization model. Finally, the gathering and transportation pipeline network of a certain CBM field described in the literature was taken as an example for model verification. It is shown that the connection length of looped-dendritic gathering pipeline network is cut down and investment cost of the network construction is reduced by virtue of the pipeline network connection pattern that is optimized by using this new method. This method can not only be used to realize the optimization on two-dimensional plane, but also be used for the optimization at 3D terrain after the terrain is simulated.