Abstract: With the ongoing exploration of hydrocarbon reservoirs, conventional linear inversion methods for conventional hydrocarbon reservoirs fail to meet the accuracy requirements for tight sandstone reservoirs.In response,this study,focusing on tight sandstone reservoirs,calculated expressions for P-wave velocity,S-wave velocity,and density in saturated rocks using inclusion models.A nonlinear reflection coefficient equation was established based on the exact Zoeppritz equations.Using the L₁-norm as the inversion objective function,a high-precision amplitude variation with offset(AVO) inversion method for reservoir parameter prediction was developed using the sparrow search algorithm(SSA).Compared to the conventional least-squares inversion results with the L₂-norm as the objective function,the proposed method improves the accuracy and resolution of the inversion results.It provides more reasonable and reliable predictions of petrophysical parameters and offers an effective approach for evaluating pore development and hydrocarbon content in tight sandstone reservoirs.The validity and practicality of this method are verified through model tests and application to actual data from tight sandstone reservoirs in the Ordos Basin.