A MODIFIED PARTICLE SWARM OPTIMIZATION ALGORITHM FOR WELLBORE TRAJECTORY DESIGN
Wellbore trajectory design is a nonlinear and constrained mathematical optimization problem used to build a cost-efficient, safe, and easily reachable trajectory. True measured depth (TMD), torque, and strain energy are used as objective functions to evaluate the wellbore trajectory design in this w...
Saved in:
主要作者: | BISWAS, KALLOL |
---|---|
格式: | Thesis |
語言: | English |
出版: |
2021
|
主題: | |
在線閱讀: | http://utpedia.utp.edu.my/22656/1/Kallol%20Biswas_18000285.pdf http://utpedia.utp.edu.my/22656/ |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
Metaheuristic Algorithm for Wellbore Trajectory Optimization
由: Biswas, K., et al.
出版: (2019) -
Uncertainty handling in wellbore trajectory design: a modified cellular spotted hyena optimizer-based approach
由: Biswas, K., et al.
出版: (2022) -
Improvement of particle swarm optimization in multi-robot trajectory motion coordination
由: Tang, Nyiak Tien, et al.
出版: (2019) -
A hybrid multi objective cellular spotted hyena optimizer for wellbore trajectory optimization
由: Biswas, K., et al.
出版: (2022) -
Particle swarm optimization of air-launch vehicle and trajectory
由: Aldheeb, M, et al.
出版: (2011)