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基于蚁群算法的丛式井井口分配方法研究 被引量:6

A allocation method for platform wellheads of cluster well based on ACA
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摘要 为充分利用井口,降低成本,提高钻井效率,保证钻井安全,以井口—靶点的水平投影距离之和最小为目标函数,构建蚁群算法,求解丛式井井口分配模型,以投影不相交或很少相交为约束条件,建立惩罚函数及丛式井井口分配蚁群算法模型,并编制软件。实例表明,该模型求解分配方案能够较好地满足现场应用,可以快速有效地求出较优的分配方案。 In order to take full advantage of wellhead, reduce costs and improve the drilling efficiency and safety, and taking the minimum sum of wellhead-target horizontal projection distances as objective function, the wellhead allocation model of cluster well solved by ant colony algorithm is established to minimize. The punishment function within the restrict condition of projection disjointed or disjointed as little as possible is established, the calculation model for the wellhead allocating of cluster wells is obtained and the corresponding software is also developed. The example indicates that the allocation plan of model can satisfy the field application and obtain the optimal allocation quickly and effectively.
出处 《断块油气田》 CAS 2014年第2期224-227,共4页 Fault-Block Oil & Gas Field
基金 国家自然科学基金项目"基于热质流耦合的深层欠平衡钻井井筒温度场和压力场分布规律研究"(51374077) 国家科技重大专项"大型油气田及煤层气开发"项目(2011ZX05021-006)
关键词 丛式井 蚁群算法 井口 优化设计 cluster well ACA wellhead optimization design
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