Abstract: It is difficult to predict high-quality tight glutenite reservoirs with low porosity and low permeability in the Triassic Baikouquan Formation, the Mabei slope of the Junggar Basin. Reservoir classification and log evaluation are of great geological significance for identifying high-quality reservoirs and guiding hydrocarbon production. Through mercury intrusion porosimetry, three pore structure-sensitive parameters: sorting coefficient (SC), average capillary radius (RC), and displacement pressure (P_d), which correlate well with permeability, are selected to construct a pore structure factor (KX) by using a mathematical method. As per a correlation analysis between various log data and pore structure factor, shale content and the ratio of porosity to neutron porosity are used to characterize pore structure factor for tight glutenite reservoir classification in the study area. Classes I, II, and III correspond to good, moderate, and poor reservoir quality, respectively. Field application shows a good correlation between reservoir quality and oil testing results. This approach enables continuous pore-structure characterization using conventional logging data for Triassic Baikouquan Formations in the Mabei slope, thereby facilitating high-quality glutenite reservoir identification.