砂化白云岩隧洞砂化等级的随钻识别模型与应用

doi:10.3724/1000-6915.jrme.2024.0528

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Abstract Accurate identification of sandification grades is crucial fordisaster prevention and control in sandy dolomite tunnels. However，the existing sandification grade classification methods cannot be effectively combined with advanced geological prediction，which weakens the role of advanced horizontal drilling results in disaster prevention and control to a certain extent. Based on the analysis of disaster cases，the rock breaking of bit numerical simulation under six typical working conditions was conducted by the ABAQUS. The drilling results of the corresponding rock strata were analyzed from two aspects of drilling displacement and real-time drilling speed，and the field drilling test was carried out. The frequency distribution characteristics of the drilling speed of the surrounding rock with different sandification grades were analyzed. Furthermore，a prediction model of sandification grade based on drilling speed was constructed and verified. The results show that：(1) The drilling speed of sandy dolomite increases with the increase of sandification grade，and it is reasonable and feasible to use drilling speed as a prediction index of dolomite sandification grade. (2) Based on the statistical analysis of 434 groups of actual advanced horizontal drilling speed，the likelihood of drilling speed in the range of 2.33–5 mm/s in weak sandy dolomite is 92.47%，the possibility of drilling speed in the range of 3.33–6.67 mm/s in severe sandy dolomite is 87.18%，and the possibility of drilling speed in the range of 4.17–9.17 mm/s in complete sandy dolomite is 90.74%，all of which show normal distribution. (3) The prediction model of sandification grade is applied to the Water Diversion Project in Central Yunnan，and the identification results are consistent with the actual sandification grade. The research results directly promote the application of advanced horizontal drilling results to the prediction and identification of sandification grade and guide the disaster prevention and control of sandy dolomite tunnels.

Key words： tunnel engineering sandy dolomite advanced drilling drilling velocity sandification grade prediction

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	Articles by authors
	DONG Jiaxing1
	YANG Ji1
	ZHAO Yongchuan2
	WANG Zhirong3
	BAI Rui4
	LI Jianguo2
	MI Jian2
	WANG Yixian5

Cite this article:

DONG Jiaxing1,YANG Ji1,ZHAO Yongchuan2, et al. Modeling and application of while drilling identification of sandification grade in sandy dolomite tunnels#br#[J]. , 2025, 44(3): 572-583.

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https://rockmech.whrsm.ac.cn/EN/10.3724/1000-6915.jrme.2024.0528 OR https://rockmech.whrsm.ac.cn/EN/Y2025/V44/I3/572

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[22]	董家兴，龚欣月，米健，等. 砂化白云岩隧洞围岩分类方法SHF构建及应用[J]. 地球科学，2024，49(8)：2 813-2 825.(DONG Jiaxing，GONG Xinyue，MI Jian，et al. Structure and application of shf classification method for surrounding rock of sandy dolomite tunnel[J]. Earth Science，2024，49(8)：2 813-2 825.(in Chinese))
[23]	POROS Z，MACHEL H G，MINDSZENTY A，et al. Cryogenic powderization of Triassic dolostones in the Buda Hills，Hungary[J]. International Journal of Earth Sciences，2013，102(5)：1 513-1 539.
[24]	董家兴，杨吉，周伦顺，等. 砂化白云岩隧洞围岩致灾构造分类、孕灾及破坏模式研究[J]. 岩石力学与工程学报，2024，43(5)：1 064-1 079.(DONG Jiaxing，YANG Ji，ZHOU Lunshun，et al. Study on disaster-causing structure classification，disaster-pregnant and failure modes of surrounding rock mass in sandy dolomite tunnels[J]. Chinese Journal of Rock Mechanics and Engineering，2024，43(5)：1 064-1 079.(in Chinese))
[25]	MACHEL H G，BORRERO M L，DEMBICKI E，et al. The Grosmont：the world’s largest unconventional oil reservoir hosted in carbonate rocks[J]. Geological Society，London，Special Publications，2012，370(1)：49-81.
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