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Intelligent drilling has obtained a lot of attention in mining engineering, oil and gas production, and tunnelling engineering. The optimization of drilling parameters is one of the most important technologies of intelligent drilling while determining the key values to improve the drilling efficiency is still a difficulty. In this paper, we established a composite percussive rock breaking model of a full-size polycrystalline diamond compact (PDC) bit based on the continuous–discontinuous element method (CDEM). The evolution of rock fragmentation under the action of composite impact is analysed by the rock breaking volume and the torque applied on the drill bit during drilling. Based on actual construction, two key parameters, axial impact velocity and impact frequency, affecting the process of composite impact rock breaking were selected, to further investigate their effect on composite impact rock breaking. The fitting curves obtained from the sensitivity analysis of the rock breaking effect under different construction parameters were proposed to guide the intelligent drilling. Furthermore, the construction parameters of a diversion inclined shaft in the #2 construction branch hole of Tiantai Mountain pumped storage power station in Zhejiang Province were collected, which provides validation data for the proposed optimizing theory of the drilling parameters.


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Intelligent optimization for a full-sized PDC bit with composite percussive rock breaking drilling

Show Author's information Liping Li1Xuegang Liu1Yu Zhou2Chengshuai Qin1Zhihui Liu1Lige Wang1Chongqiang Zhu3Zizheng Sun1( )
School of Qilu Transportation, Shandong University, Jinan 250002, China
Institute of Mechanics, Chinese Academy of Sciences, Beijing 100190, China
School of Science and Engineering, University of Dundee, Dundee DD1 4HN, UK

Abstract

Intelligent drilling has obtained a lot of attention in mining engineering, oil and gas production, and tunnelling engineering. The optimization of drilling parameters is one of the most important technologies of intelligent drilling while determining the key values to improve the drilling efficiency is still a difficulty. In this paper, we established a composite percussive rock breaking model of a full-size polycrystalline diamond compact (PDC) bit based on the continuous–discontinuous element method (CDEM). The evolution of rock fragmentation under the action of composite impact is analysed by the rock breaking volume and the torque applied on the drill bit during drilling. Based on actual construction, two key parameters, axial impact velocity and impact frequency, affecting the process of composite impact rock breaking were selected, to further investigate their effect on composite impact rock breaking. The fitting curves obtained from the sensitivity analysis of the rock breaking effect under different construction parameters were proposed to guide the intelligent drilling. Furthermore, the construction parameters of a diversion inclined shaft in the #2 construction branch hole of Tiantai Mountain pumped storage power station in Zhejiang Province were collected, which provides validation data for the proposed optimizing theory of the drilling parameters.

Keywords: numerical simulation, full-sized drill bit, composite impact, intelligent optimization of parameters, continuous–discontinuous

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Publication history

Received: 07 September 2023
Revised: 07 October 2023
Accepted: 10 October 2023
Published: 01 December 2023
Issue date: December 2023

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© The Author(s) 2023. Published by Tsinghua University Press.

Acknowledgements

The authors would like to acknowledge the support of National Natural Science Foundation of China (No. 52378402), State Key Laboratory of Precision Blasting and Hubei Key Laboratory of Blasting Engineering of Jianghan University (No. PBSKL2022C03), the Shenzhen Collaborative Innovation and Technology Project Robot Equipment Project (No. GJHZ20200731095006019), Shandong Province Natural Science Foundation (Nos. ZR202211100077 and ZR2022QE021), Key Technologies and Integrated Applications of Intelligent Enhancement of Highway Tunnel Construction Equipment and Robot Equipment (No. SDGS-YJYKJ-2021-18), and Youth Innovation Project of Shandong Higher College (No. 2022KJ037). The support from Gdem Technology, Beijing, Co., Ltd. is also appreciated.

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