Fine Imaging by Using Advanced Detection of Reflected Waves in Underground Coal Mine

Bo Wang,Wanyong Qiu,Shengdong Liu,Biao Jin

doi:10.15446/esrj.v23n1.78750

Bo Wang, Wanyong Qiu + Show 2 more

Open Access

https://doi.org/10.15446/esrj.v23n1.78750

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Abstract

Safety of the mine roadway constructions is controlled by geological disasters such as faults, goaves and so on. The advanced prediction has become an in-demand topic, and advanced detection method of the reflected wave is a crucial technology for advanced prediction of geological anomalies. However, due to the influence of the complex near-source seismic wavefield in the coal mine roadway, the result of wavefield separation and migration imaging is not accurate, which lead to the fact that the fine imaging of geological anomaly is difficult. A comparative analysis of wavefield separation method of kinematics and dynamics is carried out in this paper to solve this problem. A factor of principal polarization direction is introduced according to “the orthogonal difference between the propagation direction of P-wave and S-wave and the vibration direction of particle” starting from the real-time polarization analysis from three-component seismic signals. By the factor, a modified function is constructed and integrated into pre-stack diffraction migration, which put forward the polarization migration method that incorporates wavefield separation with migration imaging. The results of physical simulation and field survey in Xiangyuan coal mine in western China are as follows: The fine imaging by using advanced detection of the reflected waves in underground coal mine can be achieved by using polarization migration in linear observation system and the polarization migration has the effect of enhancing the spatial resolution.

Highlights

In recent years, as the coal mine is gradually entering the deep mining stage, higher requirements of advanced detection in tunnel face are put forward due to geological environment changes such as high geostress, high temperature, high karsts water pressure, mining strong disturbance and so on (Liu, Liu & Yue, 2014; Cheng, Li, Peng, & Sun 2014)
In Chinese coal mine disaster accidents, according to statistics, more than 90% of the accidents occur in the process of roadway constructions, so it is very necessary to carry out the effective advanced prediction of the geological anomalies (Zhang, & Hu 2015; Liu & Wang, 2016)
The advanced detection methods of the reflected waves in mine roadway are as follows: Shen (2006) proposed seismic prediction method of laneways, which is to achieve the imaging according to the superposition principle of diffraction and the principle of mirror imaging

Summary

Introduction

As the coal mine is gradually entering the deep mining stage, higher requirements of advanced detection in tunnel face are put forward due to geological environment changes such as high geostress, high temperature, high karsts water pressure, mining strong disturbance and so on (Liu, Liu & Yue, 2014; Cheng, Li, Peng, & Sun 2014). Due to the limitation of narrow observation space of the roadway and the interference of the near-source seismic wave field (Cheng et al, 2014), the result of wavefield separation and migration imaging is not accurate, which lead to the fact that the fine imaging of geological anomaly is difficult (Wang et al, 2016).

Results

Conclusion