Abstract: Sulige gas field in Ordos basin is characterized by the thin sand body and the little difference of wave impedance between effective reservoir and surrounding rock, which lead to difficult fine description of the reservoirs by conventional inversion approach. In order to improve the successful prediction rate of tight sand gas reservoir“dessert”for guiding the horizontal well designing, this paper takes a block in Sulige gas field as the target, combines geologic statistical inversion with Poisson’s ratio inversion and makes quantitative description of the reservoir. Firstly, conduct petrophysical modeling and S?wave curve match using Xu White model; based on the seismic attribute analysis and spectral decomposition prediction of the thick sand distribution, by means of Monte Carlo statistical inversion, well describe four sets of thin sand layers of He?8 member of Shihezi formation of Permian in this gas field, and quantitatively describe the effective reservoir thickness, physical properties and spacial distribution by using elastic parameters prestack inversion and geo?modeling technologies.The case study shows that this quantitative characterization technology is effective with good effectiveness, providing technical support forits efficient development by horizontal well process