The Application of Artificial Fish Swarm Algorithm in the Optimization of Well Trajectory

In drilling field it is often encountered the global optimization problems. The complexity is mainly in the multivariate, nonlinear and multiple extreme values. The solutions of these problems are the mainly hot topic of drilling optimization in the last several years. For the optimization design and control of well trajectory, many scholars have designed many algorithms, but there are more or less defects. This paper takes the shortest length of the well as the target function and uses the artificial fish swarm algorithm and MATLAB software to optimize well trajectory. Then compare the results with the example in literature, the numerical results show that the artificial fish optimization algorithm can get the better parameters than those found in the literature, the well length is much shorter. This indicates the correctness and reliability of the algorithm. The algorithm is simple in structure, convergence is much better and can quickly get an approximation global optimal solution, so artificial fish optimization algorithm can be used for the optimization design of trajectory.