The development of fractures has an impact on the storage space of shale reservoirs, the preservation conditions of shale oil and gas, the productivity of shale gas Wells, and the effect of hydraulic fracturing.Shale fracture prediction is of great significance to the study of shale oil and gas.In this paper, through the joint inversion of Poisson’s ratio and Young’s modulus, the seismic data and logging data are combined to predict the fracture development from well 215 area in Sichuan Basin, clarify its fracture development characteristics, provide guidance for the further development of shale oil and gas in this area, and provide reference methods for the exploration and development of areas with similar geological conditions.Methods:Based on the feasibility of the inverse fracture prediction technology of Young’s modulus and Poisson’s ratio in previous studies, and combined with the mismatch problem in its practical application, this study attempts to combine the characterization relationship between Young’s modulus and Poisson’s ratio of brittleness index.Firstly, the seismic resolution is improved by CWT continuous wavelet transform to make it match the resolution of logging data. Then, genetic algorithm is used to invert Poisson’s ratio and Young’s modulus separately to obtain a single attribute seismic inversion data body. Then the inversion results are processed by coherent calculation, and the expression of Young’s modulus and Poisson’s ratio of rock brittle- index is fused.By analyzing the correlation between Young’s modulus and Poisson’s ratio, the fusion data body (fracture development probability model) is obtained to characterize rock brittleness and predict fracture development probability. Then, the fracture development characteristics of the Zi- 215 well area were predicted, and finally the reliability of the prediction results was verified by combining the structural background and microseismic data of the Zi- 215 well area.Results: The regions with high probability of fracture development on the plane are mainly in the north, east and southwest of the Longmaxi Formation. In the profile, the fractures mainly develop near the seismic reflection interface at the bottom of the Longmaxi Formation, and the locations with high probability of fracture development are mainly the locations where the seismic in- phase axis changes rapidly (i.e., near faults and folds).Affected by faults, folds and stresses in the region, the fractures mainly develop along the early faults, and the fractures near the NE trending faults and at the structural high points in the region are the most intensive.There are also a large number of fractures in the NW trending fault development area, which is affected by early faults and developed by NE—SW trending tectonic stress since the Oligocene.The plane distribution of fracture development is mainly in en echelon and parallel arrangement, the fracture type is mainly in shear fracture, and the trend is mainly in NE, near NS and NW direction.Conclusions: Poisson’s ratio and Young’s modulus are important elastic parameters to describe rocks. Their values reflect the brittleness of rocks and are related to lithology, porosity and structure of rocks.It can quantitatively characterize the deformation resistance of rocks and can be used to describe the fracture development characteristics.The regions with low Poisson’s ratio and high Young’s modulus are the regions with high probability of fracture development.The Poisson Rate—Young modulus joint inversion technique, which is combined by inversion and correlation calculation, can effectively improve the accuracy and reliability of fracture prediction.It can quantitatively characterize the probability of fracture development and effectively identify the tiny cracks that cannot be identified by seismic properties, greatly improving the accuracy of fracture prediction.Through the superposition verification of microseismic data, it is found that the reliability of crack identification is more than 80%.It can be used as an effective shale fracture prediction method for similar geological development zones.