The fracture systems developed by different coal structures are different, which have an impact on the reservoir parameters of coal seams. In order to deepen our understanding of the thin coal seam structure in the SL North block, this study classified the coal structure of the SL North block through the analysis of coal seam core data; A logging evaluation model for coal structure was established by analyzing the correlation between logging curves and coal structure; A classification and evaluation standard for sweet spot in coal reservoirs was established based on five parameters: coal structure, gas content, ash content, fixed carbon content, vitrinite content, and porosity, and sweet spot types were classified; And under the constraint of plane faults, the probability method was used for the first time to predict the distribution of sweet spot in the SL North block. The results show that the structure of block coal in the SL North block can be mainly divided into four categories: primary structure, cataclastic structure, broken structure, and mylonitic structure; The structure of coal is mainly related to three logging curves: gamma, resistivity, and neutron, with a correlation of over 75%; Based on the classification and evaluation criteria for sweet spot, coal seam sweet spot is divided into four categories. The SL North Block mainly consists of Class II “sweet spot” and Class III “sweet spot”, followed by Class I “sweet spot”. In the later stage of well deployment, priority should be given to selecting areas with higher probabilities of Class I and Class II sweet spot.