Abstract: Deep shale gas fracturing is often constrained by complex geological conditions and the development of natural fractures, while existing evaluation methods are insufficiently systematic and quantitative, making it difficult to effectively guide fracturing parameter optimization. This study focuses on the Luzhou block in the southern Sichuan Basin to develop an integrated geology-engineering method for fracturing evaluation and parameter optimization. First, based on a fusion analysis of geological and engineering data from 24 wells, we establish a “1+27” classification system for geology-engineering models, which incorporates the three dimensions of “scale, angle, and distance”. This system lays the foundation for accurate characterization of the relationship between geological features and engineering responses. By integrating microseismic data inversion and numerical simulation, a model centered on “capture rate” and “interception rate” is constructed to characterize hydraulic fracture morphology. This model reveals three types of fracture propagation mechanisms: stress-controlled, mixed-controlled, and natural fracture-controlled. Fracture propagation simulation and orthogonal analysis of productivity suggest an optimal cluster spacing of 6–10 m, stage length of 50–70 m, and pumping rate no less than 18 m³/min. Natural fracture characteristics are incorporated to develop a differentiated fracturing parameter optimization template, which indicates a fluid intensity of 20–42 m³/m and a proppant intensity of 2.4–3.3 t/m. Furthermore, we propose a “form-based” streamlined per-stage evaluation method and a Pearson multivariate quantitative analysis for single wells, thereby identifying 10 geological parameters and 6 engineering parameters significantly correlated with EUR per kilometer. This enables precise identification and quantitative assessment of fracture controls. Application to 15 wells in the Luzhou block achieves an average increase of 13.2% in EUR per kilometer and a reduction in casing deformation rate to 14%. The proposed methodology provides systematic and transferable technical support for integrated geology-engineering fracturing design for deep shale gas, promoting the transition of parameter optimization from empirical judgment toward a combination of geological modeling and quantitative analysis.