基于Lyapunov的经济区MPC用于在变量测量延迟下安全和高效的钻探
Yilong Zhang1, Baochang Xu1, Zhuoran Meng2
1Hainan Institute of China University of Petroleum (Beijing), Hainan 572024, China; College of Artificial Intelligence, China University of Petroleum (Beijing), Beijing 102249, China.
ISA transactions
|November 30, 2025
概括
本研究引入了钻井操作的新控制算法,尽管数据丢失和延误,但提高了安全性和效率. 基于Lyapunov的区域经济模型预测控制 (LZEMPC) 实时优化钻井性能.
科学领域:
- 石油工程是石油工程中的一个.
- 控制系统工程 控制系统工程
- 钻井优化 钻井优化
背景情况:
- 下洞测量面临着诸如时间变化的延迟和数据丢失等挑战.
- 这些问题阻止了对钻探变量的实时优化,影响了安全性和效率.
研究的目的:
- 开发一个模型来描述透率 (ROP) 和底孔压力 (BHP) 之间的关系.
- 提出一种新的模型预测控制 (MPC) 算法,用于实时钻井优化.
- 为了应对钻井操作中的测量延迟和数据丢失的挑战.
主要方法:
- 开发了一个钻井过程的集成合模型.
- 提出了基于利亚普诺夫的区域经济模型预测控制 (LZEMPC) 算法.
- 使用现场数据进行模拟实验.
主要成果:
- 在形成压力窗口内,LZEMPC算法成功地管理了底孔压力 (BHP).
- 显著提高钻井效率 (透率 - ROP).
- 与传统方法相比,有效管理安全性和效率.
结论:
- LZEMPC算法为实时钻井优化提供了一个有前途的解决方案.
- 它有效地处理时间变化的测量延迟和数据丢失.
- 它同时优化了BHP和ROP,提高了钻井的安全性和效率.
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