This study adopts the logging-constrained sparse pulse inversion technology to ob-tain high-precision coal thickness and understand the spatial change of the coal seam.Based on the high fidelity,high signal-to-noise ratio,and high-resolution seismic data and combined with the logging data,the wave impedance data volume was inverted to analyze the wave impedance difference between the roof and floor of coal seam and the surrounding rock and to obtain the wave impedance threshold.The wave impedance section was converted into coal rock section to calculate the number of sample points in order to obtain the accurate coal thickness with layer ve-locity.The prediction of the logging constrained sparse pulse inversion could match well with the known boreholes,with the absolute error less than 0.3 m and the location prediction error of the location less than 5％ away from the boreholes.Compared with the borehole interpolation meth-od,the prediction accuracy of this method increased with a broad application prospect in actual production.
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