Multi-Attribute Analysis of Transmission Channel Waves: Applications in Mine Water Damage Prevention

In-seam seismics is one of the main methods for detecting small geostructures in a coal seam working face, using the velocity and energy attenuation characteristics. When the receiver coupling is poor or geological anomaly is strong, the stability and accuracy of the inversion results are affected greatly. In order to improve the stability and enrich the parameters of the inversion, this paper proposes a channel wave multi-attribute tomography method. Based on the theoretical analysis, the formulas for calculating the spectral ratio, arc length, and bandwidth parameters of the channel wave were obtained. A two-dimensional numerical simulation was used to analyze the attenuation characteristic and exploration potential of three attribute parameters of the channel wave. Through the field measured experiment, the exploration effect of the three attributes was realized and compared. In conclusion, the effectiveness of the channel wave multi-attribute tomography method in characterizing geological structures within coal seams was successfully demonstrated and verified. This approach offers a novel and robust solution for channel wave data processing and exploration, significantly enhancing the prevention of mine water damage.