Lyapunov-based zone economic MPC for safe and efficient drilling under variable measurement delays
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
Summary
This study introduces a new control algorithm for drilling operations, improving safety and efficiency despite data loss and delays. The Lyapunov-based Zone Economic Model Predictive Control (LZEMPC) optimizes drilling performance in real-time.
Area of Science:
- Petroleum Engineering
- Control Systems Engineering
- Drilling Optimization
Background:
- Downhole measurements face challenges like time-varying delays and data loss.
- These issues prevent real-time optimization of drilling variables, impacting safety and efficiency.
Purpose of the Study:
- To develop a model characterizing the relationship between Rate of Penetration (ROP) and Bottom Hole Pressure (BHP).
- To propose a novel Model Predictive Control (MPC) algorithm for real-time drilling optimization.
- To address challenges of measurement delays and data loss in drilling operations.
Main Methods:
- Developed an integrated coupled model of the drilling process.
- Proposed the Lyapunov-based Zone Economic Model Predictive Control (LZEMPC) algorithm.
- Conducted simulation experiments using field data.
Main Results:
- The LZEMPC algorithm successfully managed Bottom Hole Pressure (BHP) within the formation pressure window.
- Significantly improved drilling efficiency (Rate of Penetration - ROP).
- Effectively managed both safety and efficiency compared to traditional methods.
Conclusions:
- The LZEMPC algorithm offers a promising solution for real-time drilling optimization.
- It effectively handles time-varying measurement delays and data loss.
- It concurrently optimizes BHP and ROP, enhancing drilling safety and efficiency.
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