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Research Article

A new method for monitoring coal stress while drilling process: theoretical and experimental study

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Pages 3980-3993 | Received 14 Feb 2023, Accepted 03 Apr 2023, Published online: 12 Apr 2023
 

ABSTRACT

Real-time acquisition of coal stress is the key to early warning and prevention of rock burst. In the drilling process, drilling parameters will change correspondingly with the change of coal stress. This paper, according to the bit drilling coal link, establishes a theoretical model of drilling in order to verify the reliability of the theoretical model of specific work of drilling crushing, use the self-developed drilling measurement experimental device, and develop the drilling tests on raw coal samples under different lateral stresses. Meanwhile, we study the variation law of drilling parameters with coal stress and reveal the energy conversion mechanism of drilling machine energy to drilling chip surface energy. Through parameter analysis of the theoretical model, it is found that the drilling pressure, torque, and rotation speed increase with increasing coal stress, while the drilling speed decreases with increasing coal stress. The drilling test results show that the particle size of drilling cuttings is approximately normally distributed, the surface energy of drilling cuttings, the mechanical energy of drilling rig, and the amount of drilling cuttings all increase with increasing stress. The mechanical energy of drilling rig is mainly converted into surface energy of drilling cuttings in the process of raw coal drilling. In addition, 8.56–33.12% of the mechanical energy is converted into other energy, with the maximum deviation of 21.50% between the coal stress of the drilling test and the theoretical model of fracture drilling. The research results show that most of the deviation percentages were basically around 10% except for a few deviation percentages, which shows that theoretical model can predict the coal stress through drilling parameters, coal rock properties, and bit parameters. The new method proposed in this paper is of great significance for obtaining the stress distribution state of coal in real time and detecting the stress concentration area of coal.

Acknowledgements

The research described in this paper was financially supported by Major Program of Shandong Provincial Natural Science Foundation (No. ZR2019ZD13) and National Natural Science Foundation of China (No. 52074167).

Disclosure statement

No potential conflict of interest was reported by the authors.

Supplementary material

Supplemental data for this article can be accessed online at https://doi.org/10.1080/15567036.2023.2200736

Additional information

Funding

The work was supported by the National Natural Science Foundation of China [52074167]; Natural Science Foundation of Shandong Province [ZR2019ZD13]

Notes on contributors

Yahua Zheng

Yahua Zheng received the M.S. degree in Engineering mechanics from Shandong University of Science and Technology, Qingdao, China, in 2022. She is currently working toward the Ph.D. degree in Civil engineering with the School of FuZhou University, FuZhou City, China. Her research interests include measurement while drilling, mine rock mechanics and slope seepage.

Zhigang Zhao

Dr. Zhigang Zhao is a professor at the Shandong University of Science and Technology. His research interests include mechanism and prevention of coal mine power disasters, which focuses on obtaining the stress distribution state of coal in real time and detecting the stress concentration area of coal.

Tongbin Zhao

Dr. Tongbin Zhao is a professor at the Shandong University of Science and Technology, current Vice Dean of the College of Energy and Mining Engineering, Shandong University of Science and Technology. His research interests include roadway stability analysis and evaluation, rockburst mechanism and engineering disaster prevention, rock mechanics test methods and practical testing techniques.

Chengfu Ma

Chengfu Ma now works at the Ordos Haohua hongqingliang Mining Co.

Kai Zhang

Kai Zhang received the B.S. degree in Engineering mechanics from Shandong University of Science and Technology, Qingdao, China, in 2020. He is currently working toward the M.S. degree in College of Energy and Mining Engineering of Shandong University of Science and Technology, Qingdao, China. His research interests include measurement while drilling and mine rock mechanics.

Yanshan Qi

Yanshan Qi received the B.S. degree in Engineering mechanics from Shandong University of Science and Technology, Qingdao, China, in 2022. He is currently working toward the M.S. degree in College of Energy and Mining Engineering of Shandong University of Science and Technology, Qingdao, China. His research interests include measurement while drilling and mine rock mechanics.

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