In the complex process of foam drainage gas production in the Sulige Gas Field, traditional methods have relied heavily on analysts’ subjective decisions and extensive manual data processing. This approach is not only time-consuming but also prone to errors, as it involves a significant amount of data analysis and interpretation. This has led to increased difficulties in managing the gas wells, often resulting in inadequate well optimization and consequently, reduced production efficiency. To overcome these limitations, an innovative intelligent optimization decision-making system has been developed, leveraging the vast amount of production data available in Sulige gas field. This system is specifically designed to address the unique challenges posed by foam drainage wells. It incorporates algorithms centered on intelligent injection offline prediction and optimized decision-making; Four core modules, including well management, monitoring & early warning, injector prediction, and optimized decision-making, have been established to achieve the development of the complete system. To validate the effectiveness of the intelligent optimization decision-making system, field test was conducted on 31 selected gas wells in Sulige Gas Field, leveraging the intelligent optimization decision-making system for injector analysis and computation. The results of the test were impressive. The trial demonstrated a substantial increase in gas production, increasing by 50.78 × 104 m3 compared to manual measures and by 411 × 104 m3 relative to pre-measure levels. Furthermore, the system demonstrated a high level of accuracy, with a prediction accuracy rate of 97%. This significant improvement in both production and accuracy demonstrates the effectiveness of our intelligent optimization decision-making system. The established intelligent optimization decision-making system for foam drainage gas production has significantly enhanced the refinement and informatization of gas well management, and initially achieved the digitization and intelligence of the foam drainage gas production process, further enhancing the construction of intelligent oil and gas fields.