Multi-objective drilling trajectory optimization based on NSGA-II

Facing the demand of the efficiency and safety of drilling process, it is necessary to find the optimal drilling trajectory in the complex geological environment. To solve this multi-objective optimization problem, non-dominated sorting genetic algorithm II (NSGA-II) is applied. And Linear sum weighted method is applied at the same time for comparison. Firstly, the numerical model of a sidestracking horizontal well trajectory is established by nature curve method. Constraints subjected to engineering conditions and objective functions are discussed. Then, as decision parameters, the build rate and the turn rate are optimized. Finally, optimal solutions distributed on the Pareto front uniformly are obtained.

[1]  G. J. Wilson,et al.  An Improved Method for Computing Directional Surveys , 1968 .

[2]  W. A. Zaremba,et al.  Directional Survey by the Circular Arc Method , 1973 .

[3]  Kalyanmoy Deb,et al.  A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..

[4]  S. M. Eid,et al.  A New Optimization Model for 3D Well Design , 2004 .

[5]  Peng Zhen-bin.  Application of polar stereographic projection in the well trajectory design and calculation of directional drilling , 2009 .

[6]  Robello Samuel.  Ultra-Extended-Reach Drilling (u-ERD: Tunnel in the Earth)—A New Well-Path Design , 2009 .

[7]  Yong Wang,et al.  Combining Multiobjective Optimization With Differential Evolution to Solve Constrained Optimization Problems , 2012, IEEE Transactions on Evolutionary Computation.

[8]  David A. Wood,et al.  Designing and optimizing deviated wellbore trajectories using novel particle swarm algorithms , 2014 .

[9]  Deli Gao,et al.  Multi-objective sidetracking horizontal well trajectory optimization in cluster wells based on DS algorithm , 2016 .

[10]  Deli Gao,et al.  Multi-objective optimization design and control of deviation-correction trajectory with undetermined target , 2016 .

[11]  WEI Jing.  Multi-objective Optimization of Water Distribution System Based on an Improved NSGA2 Algorithm , 2016 .

[12]  Martin Doppelbauer,et al.  Multi-Objective Optimization of a Transverse Flux Machine With Claw-Pole and Flux-Concentrating Structure , 2016, IEEE Transactions on Magnetics.

[13]  Robello Samuel,et al.  Wellbore-Trajectory Control by Use of Minimum Well-Profile-Energy Criterion for Drilling Automation , 2016 .

[14]  Tomonobu Senjyu,et al.  Multi-Objective Optimization for Equipment Capacity in Off-Grid Smart House , 2017 .