Advancing drilling parameter reliability: A data-driven comparison of MWD and DPM for stratigraphic
aKey Laboratory of Safety Intelligent Mining in Non-coal Open-pit Mines, National Mine Safety Administration, Guangdong, Guangzhou, 510000, China
bDepartment of Civil Engineering, China University of Geosciences (Beijing), Beijing, 100000, China
cHongda Blasting Engineering Group Co., Ltd., Guangdong, Guangzhou, 510000, China
dSchool of Mines, China University of Mining and Technology, Jiangsu, Xuzhou, 221000, China
* Corresponding author. Key Laboratory of Safety Intelligent Mining in Non-coal Open-pit Mines, National Mine Safety Administration, Guangdong, Guangzhou, 510000, China.
E-mail address:
wangxuefan@cugb.edu.cn (X.-F. Wang).
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Dr. Xue-Fan Wang is Associate Professor at China University of Geosciences (Beijing), China. He obtained Bachelor and Master degrees in Geological Engineering from Nanjing University, China. He obtained PhD in Geotechnical Engineering at The University of Hong Kong (HKU), China. He was the recipient of Young Elite Scientists Sponsorship Program by CAST. His research has been funded by multiple national grants, and the outcomes have been applied to major infrastructure projects. His main expertise includes intelligent monitoring techniques for various applications in geological engineering and civil engineering. His research interests cover drilling process monitoring (DPM), measurement while drilling (MWD), distributed fiber optical sensing, digitalization, and artificial intelligence.
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