Single Neuron PID-Based Heave Compensation Control for Drill String System in Oceanic Drilling

During offshore exploration operations, vessels experience six degrees of freedom motion due to wind, waves, and currents. Among these motions, heave is particularly challenging to compensate for and significantly impacts the drilling process. This paper presents an active heave compensation control method for drill string systems in offshore exploration. To address parameter uncertainties, a single-neuron PID control approach based on a quadratic performance index is proposed. A simulation analysis was conducted using MATLAB software. The results demonstrate that the proposed controller provides smoother outputs than alternative controllers, highlighting its effectiveness in heave compensation.

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Publication Details

Journal
Journal of Advanced Computational Intelligence and Intelligent Informatics
Published
2025-07-19
DOI
https://doi.org/10.20965/jaciii.2025.p0931
Primary Topic
Oil and Gas Production Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Single Neuron PID-Based Heave Compensation Control for Drill String System in Oceanic Drilling

Chao Gan, Chenxuan Wang, Min Wu, Zhejiaqi Ma et al.
Journal of Advanced Computational Intelligence and Intelligent Informatics
Oil and Gas Production Techniques
article

Single Neuron PID-Based Heave Compensation Control for Drill String System in Oceanic Drilling

Chao Gan, Chenxuan Wang, Min Wu, Zhejiaqi Ma, Fulong Ning, Chengda Lu, Jing Ren
article en

Abstract

During offshore exploration operations, vessels experience six degrees of freedom motion due to wind, waves, and currents. Among these motions, heave is particularly challenging to compensate for and significantly impacts the drilling process. This paper presents an active heave compensation control method for drill string systems in offshore exploration. To address parameter uncertainties, a single-neuron PID control approach based on a quadratic performance index is proposed. A simulation analysis was conducted using MATLAB software. The results demonstrate that the proposed controller provides smoother outputs than alternative controllers, highlighting its effectiveness in heave compensation.

Journal of Advanced Computational Intelligence and Intelligent InformaticsVol. 29(4)
China University of Geosciences (CN), Shandong Institute of Automation (CN)
National Natural Science Foundation of China, Higher Education Discipline Innovation Project
Life below water
Openalex Percentile: Top 77%
Oil and Gas Production Techniques
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