环枝状复合型集输管网优化

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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。目前对集输管网的拓扑结构优化研究多集中在枝状管网、放射状管网、环状管网等单种管网连接形式上,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。提出的优化方法建立在一种新的寻找最优环的方法的基础上,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,以相关集输条件为约束,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*算法相结合的新算法求解优化模型。利用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,用该方法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优化。 The topology optimization of gathering and transporting network is an important part of the optimization of the oil and gas gathering and transportation system. Different topological structures will directly affect the economic benefits of the construction and development of the gathering and transportation system. At present, the research on topology optimization of gathering and transporting pipelines mostly focuses on single pipe network connection forms, such as branch pipe network, radial pipe network and ring pipe network, There are few researches on the optimization of pipeline network. The proposed optimization method is based on a new method of finding the optimal ring, and the wellheads are inserted into the ring network nearby to form a ring-branch compound pipe network with several branches. Taking the least total cost of pipeline network as the objective function and the constraints of the relevant gathering and transportation conditions as constraints, the influence of topography fluctuation and other factors on the pipeline heading is considered. The topological optimization of ring-shaped composite pipe network under three-dimensional topography is studied. A new algorithm based on coupled genetic algorithm and A * algorithm is proposed to solve the optimization model. The paper uses a gas transmission and distribution network in a coal-bed gas field as an example to verify the results show that the optimized pipe network connection method can reduce the ring branch collecting pipe network connection length and reduce investment in pipeline network construction The method can not only optimize the two-dimensional plane, but also can be used for the optimization in the three-dimensional terrain after simulating the terrain.
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