Abstract: Affected by the fluvial-deltaic sedimentary system, the Jurassic coal seam roof sandstone in the Ordos Basin is characterized by rapid lithological changes and high argillaceous content, resulting in great difficulties in the fine prediction of its water abundance. To address this problem, taking the roof sandstone aquifer of No.3 coal seam in Bayangaole Mine, Inner Mongolia as an example, based on logging data, the Simandoux formula was used to quantitatively analyze the water saturation distribution of the roof sandstone; the quantitative prediction results of resistivity logging were verified through λρ-μρ (product of Lame constant λ and density ρ - product of shear modulus μ and density ρ) crossplot analysis; integrating sandstone thickness, porosity and water saturation, a water abundance evaluation index was constructed; and on the basis of variogram analysis, the sequential Gaussian simulation (SGS) method was adopted to predict the planar water abundance distribution of the roof sandstone. The results show that the roof sandstone of No. 3 coal seam is generally characterized by high water saturation, large thickness and high porosity, but exhibits strong vertical and horizontal heterogeneity; the λρ-μρ crossplot can effectively distinguish the differences between sandstone porosity and water saturation, thereby indirectly verifying the reliability of the water abundance prediction results from resistivity logging; the water-rich areas of the roof sandstone are mainly distributed in the northwest and northeast of the study area, which are in good agreement with the low-resistivity anomaly areas predicted by the transient electromagnetic method. Compared with the traditional Archie formula, the Simandoux formula is more applicable in predicting the water saturation of Jurassic coal seam roof sandstone. Therefore, the water abundance evaluation method based on the combination of resistivity and acoustic logging is not only a useful supplement to the existing technologies, but also provides an effective approach to solving such evaluation problems, and can offer reliable technical support for groundwater resource protection and mine roof water hazard prevention and control.