Abstract: The small-scale coal mines and goaves of roadways in coal mines have a significant impact on coal mine safety production.Moreover,the limited space of roadways makes geophysical exploration very difficult,calling for higher requirements on the resolution and fidelity of seismic data.In this study,a node seismograph,with a 10 Hz natural frequency of geophones,was used for the acquisition of 3D seismic data.During data interpretation,the extraction root mean square(RMS) amplitude identified the presence of a known roadway with a cross-section of 5 m×4 m.Then,by further extracting the spectral decomposition attributes and coherent energy gradients,the characteristics of the roadway anomalies were intensified,with the revealed anomaly centers aligning with the known roadway positions.In conjunction with forward modeling analysis,the 10 Hz geophone exhibited a high resolution for deep-buried coal mine roadways, and the seismic attribute technologies proved to be an effective means to highlight roadway anomalies.These findings can provide critical reference for the interpretation of small coal seams and goaf-side roadways in coal mines.