Abstract: To address the issues of poor parameter matching and lack of quantitative optimization methods during fracturing flooding injection in low-permeability reservoirs, a study on key parameter optimization was conducted. Using the Eclipse numerical simulation software, an ideal five-spot well pattern model was established. Meanwhile, considering the response characteristics of the well pattern and the orientation of hydraulic fracture propagation and distribution, three major categories comprising eight subcategories of fracturing-flooding models were developed. Evaluation indicators for optimizing fracturing flooding parameters were proposed, with particular focus on optimizing critical parameters such as injection volume, half-length of fractures, and injection rate. A variable-rate injection strategy was introduced, ultimately establishing quantitative design limits for process parameters under the theoretical displacement model of five-spot well pattern. Building upon this foundation, the ideal model was mapped to actual field conditions, and fracturing flooding parameter design was applied in Well Group A-1. Results showed that the daily oil production increased to 8.1 t/d from 2.8 t/d before treatment, representing a growth of 189.3%. The average water cut per well decreased from 71.2% to 53.3%, a reduction of 25.1%. These results validate the feasibility and effectiveness of the optimization method for fracturing flooding parameters, providing theoretical support and technical guidance for efficient water flooding development in low-permeability reservoirs.