Non-Vertical Well Trajectory Design Based on Multi-Objective Optimization

The optimization and control of the wellbore trajectory is one of the important technologies to improve drilling efficiency, reduce drilling cost, and ensure drilling safety in the process of modern oil and gas exploration and development. In this paper, a multi-objective wellbore trajectory optimization mathematical model is established, which takes into account the five factors of wellbore trajectory length, friction, torque, trajectory complexity, and target accuracy. A DR-NSGA-III-MGA algorithm (dynamic reference NSGA-III with multi-granularity adaptation) is proposed. By introducing multi-granularity reference vector generation and an information entropy-guided search direction adaptation mechanism, the performance of the algorithm in the complex target space is improved, and the three-stage wellbore trajectory is optimized. Simulation experiments show that the DR-NSGA-III-MGA algorithm is stable in a variety of complex problems, while maintaining good convergence, and has good generalization ability and practical application value.

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Publication Details

Journal
Applied Sciences
Published
2025-07-14
DOI
https://doi.org/10.3390/app15147862
Primary Topic
Drilling and Well Engineering
Type
article
Field-Weighted Citation Impact
0.00

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article

Non-Vertical Well Trajectory Design Based on Multi-Objective Optimization

Haipeng Gu, Xiaowei Li, Li Yu, Wu Yang et al.
Applied Sciences
Drilling and Well Engineering
article

Non-Vertical Well Trajectory Design Based on Multi-Objective Optimization

Haipeng Gu, Xiaowei Li, Li Yu, Wu Yang, Zhaokai Hou
article en

Abstract

The optimization and control of the wellbore trajectory is one of the important technologies to improve drilling efficiency, reduce drilling cost, and ensure drilling safety in the process of modern oil and gas exploration and development. In this paper, a multi-objective wellbore trajectory optimization mathematical model is established, which takes into account the five factors of wellbore trajectory length, friction, torque, trajectory complexity, and target accuracy. A DR-NSGA-III-MGA algorithm (dynamic reference NSGA-III with multi-granularity adaptation) is proposed. By introducing multi-granularity reference vector generation and an information entropy-guided search direction adaptation mechanism, the performance of the algorithm in the complex target space is improved, and the three-stage wellbore trajectory is optimized. Simulation experiments show that the DR-NSGA-III-MGA algorithm is stable in a variety of complex problems, while maintaining good convergence, and has good generalization ability and practical application value.

Applied SciencesVol. 15(14)
Northeast Petroleum University (CN)
National Natural Science Foundation of China, Northeast Petroleum University
Openalex Percentile: Top 76%
Drilling and Well Engineering
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