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为了合理确定油气集输管网结构布局,以井站间产量距离和为目标函数,以井站连接关系和计量站站址为优化变量,建立了井组优化模型。采用小窗口蚁群算法求解,将井站连接关系转化为路径选择,根据不同管段对应的产量、距离计算启发因子,以不同路径方案下的产量距离总和作为信息积累的评价指标,通过控制蚂蚁状态转移过程确保井式、集输半径、计量站处理量等约束条件,有效避免了不可行解的产生。实例计算结果表明:基于蚁群算法的优化结果在管网的产量距离和与管道总长度方面,相比已有的遗传算法优化结果均有所改进,有望为今后的油气集输管网优化设计提供技术支持。
In order to reasonably determine the structural layout of the oil and gas gathering pipe network, the well group optimization model was established based on the production distance between wells and the objective function, taking the well connection and metering station site as optimization variables. A small window ant colony algorithm is used to solve the problem. The connectivity of wells is converted to path selection. According to the yield and distance of different pipe sections, the heuristic factor is calculated, and the total output distance under different path schemes is used as the evaluation index for information accumulation. Transfer process to ensure the well type, gathering radius, metering station throughput and other constraints, effectively avoiding the infeasible solution. The results show that the optimization results based on the ant colony algorithm improve the output of the pipe network and the total pipe length compared with the existing genetic algorithm optimization results, which is expected to optimize the future design of the oil and gas pipe network provide technical support.