Tight sandstone channel systems occur in the second member of the Lianggaoshan Formation in the Sichuan Basin. These channels predominantly exhibit single bright-spot reflections on seismic sections. Due to the limited resolution of post-stack data and the constraints of attribute dimensionality, drilling results reveal complex internal lithological assemblages and pronounced lateral heterogeneity within these channels. Traditional post-stack methods struggle to effectively characterize internal channel details, thereby hindering subsequent exploration planning and reserve evaluation. To address these challenges, this study develops a pre-stack seismic inversion workflow based on generalized Gaussian distribution (GGD) prior constraints, aiming to enhance the identification and prediction of complex channel sand bodies. First, pre-stack amplitude versus offset (AVO) response analysis was conducted using typical wells to determine the effective incident angle range. By integrating optimal angle stacked data and AVO attribute extraction, the accuracy of characterizing the lateral distribution of channels was improved. Subsequently, a low‑frequency facies‑controlled model was constructed by integrating AVO attributes with elastic parameters. GGD prior constraints were incorporated into the pre‑stack elastic parameter inversion, enabling detailed prediction of internal channel architecture. This technique yielded promising results in the Fuxing Block and was successfully validated in the Bazhong Block. It effectively enhanced the accuracy of identifying and predicting complex channels, providing technical support for the exploration, deployment, and resource evaluation of Jurassic tight sandstone channels in the Sichuan Basin.