An Improved Dynamic Optimization Control System for the Drilling Rate of Penetration (ROP) and Its Industrial Application-Reference-Cited by-同舟云学术

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An Improved Dynamic Optimization Control System for the Drilling Rate of Penetration (ROP) and Its Industrial Application

Published:2023-06 Issue:6 Volume:70 Page:6201-6208
ISSN:0278-0046
Container-title:IEEE Transactions on Industrial Electronics
language:
Short-container-title:IEEE Trans. Ind. Electron.

Author:

Gan Chao¹^ORCID,Cao Wei-Hua¹^ORCID,Wang Lu-Zhao²,Liu Kang-Zhi³^ORCID,Wu Min¹^ORCID

Affiliation:

1. School of Automation, China University of Geosciences, Wuhan, China

2. No.3 Exploration Institute of Geology and Mineral Resources of Shandong Province, Yantai, China

3. Department of Electrical and Electronic Engineering, Chiba University, Chiba, Japan

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hubei Province, China

Higher Education Discipline Innovation Project

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/41/10026526/09866619.pdf?arnumber=9866619

Reference19 articles.

1. MTPA-Based Finite-Set Model Predictive Control Without Weighting Factors for Linear Induction Machine

2. Real-time optimization of rate of penetration during drilling operation

3. Real-time predictive capabilities of analytical and machine learning rate of penetration (ROP) models

4. Analysis of rate of penetration (ROP) prediction in drilling using physics-based and data-driven models

5. Drilling rate of penetration prediction and optimization using response surface methodology and bat algorithm

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2. Improvement of Rate of Penetration in Drilling Process Based on TCN-Vibration Recognition;IEEE Transactions on Instrumentation and Measurement;2024

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