Research on Intelligent Control Algorithm of Complex Borehole Trajectory Based on Multi-objective Optimization
DOI:
https://doi.org/10.54097/69rw7813Keywords:
Complex borehole trajectory, multi-objective optimization, intelligent control, NSGA-III.Abstract
Effective wellbore trajectory control is essential in complex drilling environments, where precision and operational efficiency are critical to reducing costs and improving safety. Traditional trajectory control methods often face limitations in addressing multiple conflicting objectives, such as minimizing trajectory deviation while maximizing drilling efficiency. Traditional trajectory control methods often face limitations in addressing multiple conflicting objectives, such as minimizing trajectory deviation while maximizing drilling efficiency. This study presents an intelligent control approach utilizing the Non-Dominated Sorting Genetic Algorithm III (NSGA-III) for multi-objective optimization in complex wellbore trajectory control. designing and implementing a set of objective functions tailored to trajectory control requirements, this approach leverages NSGA-III' s ability to handle high-dimensional trajectories. s ability to handle high-dimensional objective spaces, achieving a balanced optimization across diverse performance metrics. Experimental results Experimental results verify the effectiveness of this approach, with Matlab simulations demonstrating significant improvements in trajectory accuracy and computational efficiency. This research provides a robust framework for multi-objective trajectory control and highlights the potential of NSGA-III in enhancing decision-making for complex drilling applications. decision-making for complex drilling applications.
Downloads
References
[1] Liu Q , Li Z , Wang E ,et al.A New Method for Determining Coal Seam Permeability based on a Gas–Solid Coupling Model and PSO+LM Hybrid Optimization Algorithm [J]. Natural Resources Research, 2023, 32 (3): 1265-1282.DOI:10.1007/s11053-023-10182-8.
[2] Soltani S , Hezarkhani A .Additional exploratory boreholes optimization based on three-dimensional model of ore deposit[J].Archives of Mining Sciences, 2009, 54(3):495-506.DOI:10.1002/hyp.6173.
[3] Mansouri M A , Dabiri R .A new optimal model for evaluating liquefaction-induced lateral spreading based on the advanced ant colony optimization (ACO)[J].Arabian Journal of Geosciences, 2021, 14(24):1-18.DOI:10.1007/s12517-021-08894-3.
[4] Zhang Y , Li T , Yi J .Adaptive Neural Network Sliding Mode Control based on Particle Swarm Optimization for Rotary Steering Drilling Stabilized Platform[J].International Journal of Advancements in Computing Technology, 2012, 4 (19) :107-114.DOI:10.4156/ijact.vol4.issue19.14.
[5] Guo J , Zheng J ,Qing Lü,et al.Estimation of fracture size and azimuth in the universal elliptical disc model based on trace information[J].Journal of Rock Mechanics and Geotechnical Engineering, 2023, 15(6):1391-1405.DOI:10.1016/j.jrmge.2022.07.018.
[6] Seung-Hoon P , Jung-Yeol K , Yong-Sung J ,et al.Development of a Multi-Objective Sizing Method for Borehole Heat Exchangers during the Early Design Phase[J].Sustainability, 2017, 9(10):1876.DOI:10.3390/su9101876.
[7] Wenxue C , Xiaoming N , Bing J .Optimization of borehole spacing of gas extraction based on the method of structure curvature[J].Disaster Advances, 2013, 6(11):15-21.
[8] Jin C X .A Deterministic Gamma-Type Geomorphologic Instantaneous Unit Hydrograph Based on Path Types[J].Water Resources Research, 1992, 28(2):479-486.DOI:10.1029/91WR02577.
[9] Singer B S .Electromagnetic integral equation approach based on contraction operator and solution optimization in Krylov subspace[J].Geophysical Journal International, 2010, 175(3):857-884.DOI:10.1111/j.1365-246X.2008.03930.x.
[10] Akca I , Guenther T , Mueller-Petke M ,et al.Joint parameter estimation from magnetic resonance and vertical electric soundings using a multi-objective genetic algorithm[J].Geophysical Prospecting, 2014, 62(2):364-376.DOI:10.1111/1365-2478.12082.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Academic Journal of Science and Technology
This work is licensed under a Creative Commons Attribution 4.0 International License.