基于蚁群算法的丛式井井口分配方法研究

MOE Key Laboratory of Enhanced Oil and Gas Recovery, Northeast Petroleum University, Daqing 163318, China Engineering Supervision Center of Huabei Oilfield Company, SINOPEC, Zhengzhou 450006, China Research Institute of Drilling Technology, Jilin Oilfield Company, PetroChina, Songyuan 138000, China

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.

10.6056/dkyqt201402020