Detection of geological anomalies in coal mining working faces using a scattered-wave imaging method

Abstract A concealed geological structure encountered during the excavation of a coal working face could connect to high-pressure water in limestone strata, which can result serious or catastrophic inrush accident. However, existing geophysical detection methods used ensure safety faces cannot detect small anomalies reliably. Based on generalized theory scattered waves, we have developed novel and superior wave imaging method for at roadway lateral wall, capable vector extraction multiwave imaging. In this method, waves from anomaly be dynamically accurately extracted by polarized filter function mapping processes common scattering point (CSP) gathers. numerical simulation was performed study seismic response characteristics collapse column face. The P channel model were imaged using method. field three-component Xuzhuang Coal Mine, demonstrating that joint body drop faults invisible alone. These results indicate proposed effectively image anomalous bodies complex noisy mine wavefields information, providing new approach reliable timely hazardous features hidden faces.