Abstract: Taking No.3 coal in Gucheng coal mine, Shandong Province as the target, 3D coal seam entity models were built in 3DMine software, coaly quality indices' distributions were analyzed and coal reserve was calculated and compared to the reserve estimation in method of geological block. Firstly, a boreholes database is established using the geological data and borehole data of the target, and a 3D surface model of the coal seam with faults embedded was constructed. Then, the surface model was interpolated into an entity blocks model through the algorithm of inverse distance weighted(IDW) interpolation. Finally, the recoverable coal reserve of the target was computed and the distributions of several indices of the coal quality, such as M_ad, A_d, S_t,d, Q_g,d, V_daf and G_R.I., were analyzed and visualized based on the entity blocks model. The result shows that the indices A_d, S_t,d and V_daf decrease from northwest to southeast along the coal seam burial depth increases while the Q_g,d and G_R.I. grow up. Furthermore, the 3D blocks model with faults embedded not only represents the actual spatial morphology of coal seam and faults structure vividly but gives a much more consulted recoverable coal resources calculation also.