Abstract: The sixty-five boreholes logging data studied about 7₂ and 8₂ coal seam in a mine of Huaibei, the results showed that the anomalies of density and natural gamma curve amplitude could be used to judge the coal seam occurrence, and the anomalies combination of apparent resistivity and natural potential curve could be adopted to determine the coal seam structure. By synthesizing the anomalies of apparent resistivity, density and natural gamma curve amplitude, it was determined whether the coal seam contained gangue or not. Based on this, the method was proposed that the coal seam occurrence, coal seam structure and dirt band was judged by the combination characteristics of using apparent resistivity, natural gamma, density and natural potential logging curve.