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<p>Traditional hydraulic rotary steerable systems exhibit lag in response speed and weak resistance to formation disturbances, making it difficult to meet the development requirements of centimeter-level wellbore control and continuous navigation in high-curvature sections. To address this issue, this study introduces an intelligent electrically controlled rotary steerable system (RSS). The structure and working principle of the system are first briefly introduced, followed by an in-depth analysis of the control strategies and wellbore trajectory optimization based on the intelligent electric control system. Finally, field case studies are conducted to verify the application effectiveness. The results show that the electric RSS system reduces the average trajectory deviation angle by 40%, decreases friction fluctuation amplitude by about 30%, shortens the response time to less than 0.5 s, lowers the sliding rate below 7%, and reduces the wellbore roughness index to 0.42. The study verifies the high precision and stability of intelligent electric control systems in complex well trajectory control and provides strong technical support for promoting the application of electric rotary steerable technology in unconventional oil and gas drilling.</p>

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Research on Control Strategies and Wellbore Trajectory Optimization of Rotary Steerable Drilling Tools Based on Intelligent Electric Control Systems

  • 期刊论文

  • 发表日期：

    2026年6月26日

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  • Shijie Xiao

摘要

Traditional hydraulic rotary steerable systems exhibit lag in response speed and weak resistance to formation disturbances, making it difficult to meet the development requirements of centimeter-level wellbore control and continuous navigation in high-curvature sections. To address this issue, this study introduces an intelligent electrically controlled rotary steerable system (RSS). The structure and working principle of the system are first briefly introduced, followed by an in-depth analysis of the control strategies and wellbore trajectory optimization based on the intelligent electric control system. Finally, field case studies are conducted to verify the application effectiveness. The results show that the electric RSS system reduces the average trajectory deviation angle by 40%, decreases friction fluctuation amplitude by about 30%, shortens the response time to less than 0.5 s, lowers the sliding rate below 7%, and reduces the wellbore roughness index to 0.42. The study verifies the high precision and stability of intelligent electric control systems in complex well trajectory control and provides strong technical support for promoting the application of electric rotary steerable technology in unconventional oil and gas drilling.