Scholarlink

<p>Managed Pressure Drilling (MPD) enhances wellbore pressure management, allowing for real-time modifications using specific methodologies. However, MPD can be affected by heave disturbances caused by sea or ocean waves, necessitating the design of a control system to attenuate their effect on bottomhole pressure. Hence, this research examines the efficacy of Tube Model Predictive Control (TMPC), a robust approach, and compares it against traditional methods such as Proportional-Integral-Derivative (PID), manual control, Linear MPC (LMPC), and Explicit MPC (EMPC) strategies. Performance of these controllers is assessed through simulations in both disturbance-free scenarios and under heave disturbances, with analysis based on mean squared error (MSE) and root mean squared error (RMSE) metrics. The paper also includes a stability analysis of the closed-loop system in the presence of the proposed controller. Additionally, the sensitivity of the system to parameter uncertainties is evaluated through Monte Carlo (MC) simulation. Results highlight the effectiveness of the TMPC controller in mitigating heave disturbances superiorly when compared to PID and manual control options.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Design of tube model predictive control for heave disturbance mitigation in a nonlinear offshore managed pressure drilling system

  • 期刊论文

  • 发表日期：

    2025年9月27日

查看全文
  • Moein Sarbandi,
  • Danial Pazoki,
  • Amirhossein Nikoofard

摘要

Managed Pressure Drilling (MPD) enhances wellbore pressure management, allowing for real-time modifications using specific methodologies. However, MPD can be affected by heave disturbances caused by sea or ocean waves, necessitating the design of a control system to attenuate their effect on bottomhole pressure. Hence, this research examines the efficacy of Tube Model Predictive Control (TMPC), a robust approach, and compares it against traditional methods such as Proportional-Integral-Derivative (PID), manual control, Linear MPC (LMPC), and Explicit MPC (EMPC) strategies. Performance of these controllers is assessed through simulations in both disturbance-free scenarios and under heave disturbances, with analysis based on mean squared error (MSE) and root mean squared error (RMSE) metrics. The paper also includes a stability analysis of the closed-loop system in the presence of the proposed controller. Additionally, the sensitivity of the system to parameter uncertainties is evaluated through Monte Carlo (MC) simulation. Results highlight the effectiveness of the TMPC controller in mitigating heave disturbances superiorly when compared to PID and manual control options.