Tight sandstone gas holds significant exploration and development potential. However, its complex pore structure and heterogeneous consolidation make quantitative reservoir prediction challenging. In this study, we propose a novel seismic inversion method that incorporates consolidation parameter and pore structure parameters as constraints for enhanced rock physics modeling. By treating these parameters as depth‐dependent variables, our approach captures the detailed lithological variations in tight sandstone reservoirs, leading to significantly improved accuracy in rock physics characterization. The model is integrated into a seismic reflection coefficient equation to establish a forward model, and a Bayesian inversion framework is used to directly predict reservoir property parameters from seismic data. Using the fast simulated annealing algorithm, pore structure parameters and consolidation parameter are iteratively updated alongside reservoir properties, increasing the stability and reliability of the inversion results. Applied to tight sandstone gas reservoirs in the Shaximiao Formation of the Sichuan Basin, the method demonstrates a strong correlation with gas‐bearing zones, showing that the rock physics model with consolidation and pore structure constraints can enhance the delineation of reservoir distribution.
Hu et al. (Thu,) studied this question.