The delta-front of a certain area is characterized by fast facies change, strong heterogeneity, and small thickness of a single sand body. As the earthquake-band of the conventional deterministic inversion is limited, the vertical resolution of the seismic inversion body is very low, and hence it is often difficult to identify the small sand body. The geostatistic inversion method based on stochastic modeling technique can effectively integrate geological, logging and seismic data, greatly improve the seismic vertical resolution, and more accurately describe the subtle changes in the reservoir, thus well identifying the thin sand. Geostatistic Inversion was used in delta-front of a target area to predict the thin sand layers. The impedance body derived from the high-resolution geostatistic inversion method was compared with the density body, which could effectively identify a thin layer of sand body in the horizontal distribution on the inversion profile. This method provides a basis for identifying favorable oil and gas traps.