Abstract: Tight sandstone gas is a key filed of natural gas exploration and development. However, there is yet no perfect technical system for comprehensive well logging evaluation as well as logging evaluations of both geological and engineering sweet spots, thus limiting the exploration and exploitation process of natural gas. This study clarifies the characteristics of storage spaces and micro-pore structures in tight sandstone gas reservoirs. It also reveals the primary controlling factors for reservoir quality from the perspectives of tectonics (fractures and in-situ stress), sedimentation and diagenesis. Conventional well logs can be used for lithology identification, reservoir parameter calculation, and fluid property discrimination; moreover, image logs, nuclear magnetic resonance logs, and array acoustic logs can be applied to fracture detection, pore structure classification, and engineering quality evaluation. Additionally, machine learning methods can be employed to quantitatively calculate reservoir parameters. The well logging classification evaluation of reservoir quality can be achieved through the combination of sedimentary microfacies, diagenetic characteristics, fractures and pore structures. Moreover, in terms of the well logging evaluation for tight sandstone gas, a focus is put on the well logging identification and evaluation of matrix pore structures and fractures. Finally, the well logging classification evaluation of geological and engineering sweet spots in tight sandstone is achieved through the coupling of reservoir parameters, pore structures, fractures, in-situ stress, and brittleness. The comprehensive evaluation and prediction of tight sandstone gas reservoirs has been realized using geophysical well log data, which can provide theoretical guidance and technical support for gas reservoir exploration and development.