Real time multi-inputs multi-outputs economic model predictive control for directional drilling based on fast modeling and sensor fusion

IF 4.4 2区计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS

Journal of Process Control Pub Date : 2025-12-01 Epub Date: 2025-10-28 DOI:10.1016/j.jprocont.2025.103577

Jiamin Xu , Nazli Demirer , Vy Pho , Kaixiao Tian , He Zhang , Ketan Bhaidasna , Robert Darbe , Dongmei Chen

引用次数: 0

Abstract

This paper presents a multi-input, multi-output (MIMO) economic model predictive control (MPC) approach for directional drilling using an efficient model with state and parameter estimation using sensor fusion. The MPC framework coordinates weight-on-bit (WOB) and pad force to ensure the bit follows the planned well trajectory while maintaining high WOB, implying a high rate of penetration (ROP). The simulation studies, conducted under scenarios with initial bit positions both ahead of and behind the well plan, demonstrate the robustness and effectiveness of the proposed MPC strategy. The results show that the controller can maintain the bit on the well plan despite various disturbances and noise, indicating its potential for practical application in the field.

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基于快速建模和传感器融合的定向钻井实时多输入多输出经济模型预测控制

本文提出了一种多输入多输出（MIMO）经济模型预测控制（MPC）方法，该方法采用传感器融合的状态和参数估计模型。MPC框架协调钻头钻压（WOB）和垫块力，以确保钻头遵循计划的井眼轨迹，同时保持高WOB，这意味着高机械钻速（ROP）。模拟研究在初始钻头位置在井计划前面和后面的情况下进行，证明了MPC策略的鲁棒性和有效性。结果表明，该控制器可以在各种干扰和噪声的情况下保持钻头在井平面上的稳定，表明其在现场的实际应用潜力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Process Control 工程技术-工程：化工

CiteScore

7.00

自引率

11.90%

发文量

159

审稿时长

74 days

期刊介绍： This international journal covers the application of control theory, operations research, computer science and engineering principles to the solution of process control problems. In addition to the traditional chemical processing and manufacturing applications, the scope of process control problems involves a wide range of applications that includes energy processes, nano-technology, systems biology, bio-medical engineering, pharmaceutical processing technology, energy storage and conversion, smart grid, and data analytics among others. Papers on the theory in these areas will also be accepted provided the theoretical contribution is aimed at the application and the development of process control techniques. Topics covered include: • Control applications• Process monitoring• Plant-wide control• Process control systems• Control techniques and algorithms• Process modelling and simulation• Design methods Advanced design methods exclude well established and widely studied traditional design techniques such as PID tuning and its many variants. Applications in fields such as control of automotive engines, machinery and robotics are not deemed suitable unless a clear motivation for the relevance to process control is provided.