Abstract: Fracturing performance in deep shale gas is often constrained by complex geological conditions and the presence of natural fractures. Existing evaluation methods lack systematicity and quantitative capability, making it difficult to effectively guide parameter optimization. Taking the Luzhou block in the Sichuan Basin as a case study, this work develops an integrated geology engineering approach for fracturing evaluation and parameter optimization. By integrating geological and engineering data from 24 wells, we establish a “1+27” classification system for geology engineering models. The system incorporates three dimensions—scale, angle, and distance—and enables accurate characterization of the coupling between geological features and engineering responses. Using microseismic inversion together with numerical simulation, we construct a hydraulic fracture morphology model centered on capture rate and interception rate. This model reveals three types of propagation mechanisms: stress controlled, mixed controlled, and fracture controlled. On this basis, fracture propagation simulation and orthogonal productivity analysis define the optimal ranges of fracturing parameters. A differentiated optimization template is also developed, which accounts for the variability in natural fracture characteristics. Furthermore, we combine a form based per stage evaluation with per well Pearson multivariate quantitative analysis to establish a full cycle quantitative evaluation method. This method enables precise identification and quantitative assessment of the factors that influence fracturing performance. The proposed system provides technical support for integrated geology engineering fracturing design in deep shale gas. It also facilitates a shift in parameter optimization from empirical judgment toward a strategy that synergistically combines geological modeling with quantitative analysis.