Open AccessResearch on Well Trajectory Optimization Design Based on Ant Colony Algorithm
Author(s) -
Yinghui Xu,
Chengyuan Li,
Liupeng Wang
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1237/2/022056
Subject(s) - trajectory , ant colony optimization algorithms , trajectory optimization , mathematical optimization , computer science , convergence (economics) , constraint (computer aided design) , algorithm , mathematics , optimal control , physics , geometry , astronomy , economics , economic growth
The intelligent optimization algorithm designed for the current drilling well trajectory has shortcomings such as slow convergence rate and easy to fall into local optimal solution. This paper proposes an optimization method based on ant colony algorithm for well trajectory optimized design. Firstly, the three-stage well trajectory optimization design is taken as an example. The shortest space curve length is the optimization target, and the vertical depth, well angle and azimuth angle are used as constraints to establish the optimal mathematical model of the well trajectory. Then the ant colony algorithm is used to find the optimal parameters of the well trajectory under the constraint conditions, so as to realize the optimization of the well trajectory design.