Laboratory of intelligent control and geological equipment for drilling process

Author:Date:April 2, 2022Click Times:

About Us

Aiming to meet the demand for intelligent control and decision-making of complex   geological equipment, our team targets at the research frontier of intelligent   control and geological equipment for drilling process. Guided by the theories of artificial intelligence and advanced control, we carry out the researches   on condition monitoring of drilling system, information analysis of formation,   intelligent control of geological equipment, human-computer visual   interaction of drilling process, etc., and conduct the design and application   of intelligent control systems for drilling process.

Team Members

Prof. Min Wu, Prof. Weihua Cao,   Prof. Xin Chen, Prof. Longchen Duan, Prof. Yule Hu, Prof. Wenkai Hu, Assoc Prof. Luefeng Chen, Assoc Prof. Chengda Lu, Assoc Prof. Chao Gan

Research Activities

Our team consists of 9 teachers and 17 graduate students, including 1 Chair Professor   of the “Cheung Kong Scholars Program”, 1 winner of the National Science Fund   for Distinguished Young Scholars, 1 Professor of the “Chutian Scholars   Program” in Hubei Province, 1 winner of the Hubei Provincial Science Fund for   Distinguished Young Scholars, 1 young scholar of the “One Hundred Talents   Program” in Hubei Province and 2 young scholars of the "Chutian Scholars   Program” in Hubei Province. In recent years, we have undertaken 5 scientific   research projects, including the National Key Research and Development   Program of China, the Key Project of National Natural Science Foundation of   China, the Hubei Provincial Technical Innovation Major Project, etc.

1. National Key Research and Development Program of China, 2018YFC0603405, Development of intelligent geological drilling technology and equipment, 2018.07-2021.06, 5.33 million RMB.

2. Key Project of National Natural Science Foundation of China, 61733016, Intelligent control of drilling process for complex geological environment, 2018.01-2022.12, 3   million RMB.

3. Hubei Provincial Technical Innovation Major Project, 2018AAA035, Development and application of key technologies for drilling and production equipment in complex   geological environment, 2018.01-2020.12, 1.4 million RMB.

4. Yangtze River Geoscience Project of China University of Geosciences, CUGCJ1812, Development of key technologies in intelligent control of drilling process for complex   geological environment, 2019.01-2020.12, 0.5 million RMB.

5. Fundamental Research Funds for Central Universities, CUG160705, Intelligent technology and equipment for complex geological drilling process, 2016.01-2018.12, 1.5   million RMB.

Fig.   1 A seminar on the progress of Key Project of NSFC

Fig.   2 The kick off meeting of Hubei Provincial Technical Innovation Major Project

We are passionate about academic cooperation and exchanges. 5 students in our team have been jointly   supervised by famous foreign universities such as Swinburne University of Technology, Chiba University, Tokyo University of Engineering, etc.; we have participated   in the organization of China Intelligent Geological Equipment Technology Development Forum each year since 2017, and built it into a well-known   domestic exchange platform in the field of intelligent geological equipment; we   have established long-term cooperative relations with well-known   manufacturers, research institutes and drilling sites, including the China Geological Equipment Group Co., Ltd., Xi'an Research Institute of China Coal Technology   & Engineering group, Hengyang Zhongdi Equipment Prospecting Engineering Machinery Co., Ltd., Jiangsu Wuxi Mineral Exploration Machinery General Factory Co. Ltd., Jiangsu Hexin Oil Co.,Ltd., etc.; and our team members have attended a number of international conferences like IFAC, Asian Control Conference, Chinese Control Conference, etc.

Fig. 3 Team members   visited Jiangsu Hexin Oil Co.,Ltd

Fig. 4 Team members   attended the 11th Asian Control Conference held in Gold Coast, Australia 

Major Achievements

To solve difficult   problems in the modeling of characteristic parameter field for complex   formation, optimization and deviation correction of drilling trajectory,   drilling information detection and condition monitoring, and intelligent   coordinating control of drilling process, we have established a web-based big   data monitoring center of drilling process, a semi-physical experimental   system of drilling tool altitude, and a distributed data acquisition system   for drilling process; have published 36 academic papers (including 11 SCI-indexed   journal papers); we are the owner of 3 patents and 2 software copyright, and   14 patents are under application.

[1]    Jun Cheng, Min Wu, Fen Wu, Chengda Lu, Xin Chen, and Weihua Cao, “Modeling and   control of drill-string system with stick-slip vibrations using LPV technique,”   IEEE Transactions on Control Systems Technology, to be published, DOI:   10.1109/TCST.2020. 2978892.

[2]    Chao Gan, Weihua Cao, Kangzhi Liu, Min Wu, Fawen Wang, and Suobang   Zhang, “A new hybrid bat algorithm and its application to the ROP   optimization in drilling processes,” IEEE Transactions on Industrial   Informatics, to be published, https://doi.org/10.1109/TII. 2019.2943165.

[3]    Chengda Lu, Min Wu, Xin Chen, Weihua Cao, Chao Gan, and Jinhua She, “Torsional   vibration control of drill-string systems with time-varying measurement   delays,” Information Sciences, vol. 467, pp. 528-548, Oct. 2018.

[4]    Chao Gan, Weihua Cao, Min Wu, Kangzhi Liu, Xin Chen, Yule Hu, and Fulong Ning,   “Two-level intelligent modeling method for the rate of penetration in complex   geological drilling process,” Applied Soft Computing, vol. 80, pp.   592-602, 2019.

[5]    Chao Gan, Weihua Cao, Min Wu, Xin Chen, Yule Hu, Kangzhi Liu, Fawen Wang, and   Suobang Zhang, “Prediction of drilling rate of penetration (ROP) using hybrid   support vector regression: A case study on the Shennongjia area, Central   China,” Journal of Petroleum Science and Engineering, to be published,   https://doi.org/10.1016/ j.petrol.2019.106200.

[6]    Xi Chen, Weihua Cao, Chao Gan, Wenkai Hu, and Min Wu, “A hybrid reducing   error-correcting output code for lithology identification,” IEEE   Transactions on Circuits and Systems II: Express Briefs, DOI:   10.1109/TCSII.2019.2950269.

[7]    Yupeng   Li, Weihua Cao, Wenkai Hu, and Min Wu, “Diagnosis of downhole incidents for   geological drilling processes using multi-time scale feature extraction and probabilistic   neural networks,” Process Safety and Environment Protection, 2020,   137: 106-115.

[8]    Zhen Cai, Xuzhi Lai, Min Wu, Weihua Cao, and Xin Chen. Bilinear compensation   control for attitude of directional drilling tools. Control and Desicsion.   https://doi.org/10.13195/ j.kzyjc.2018.1528.