以准噶尔盆地D1火山岩气藏为对象，针对火山岩气藏开发中配产不均、经验依赖等问题，构建基于多目标约束的优化配产模型。综合考虑气井产能、储层特性、地层压力平衡等多种约束条件，建立多目标优化模型，并引入灰狼优化算法实现全局搜索，同时采用平面均衡开采策略确保地层压力协调下降。结果表明：优化方案在满足各项约束的前提下，实现了气井产量与整体生产规划的协调匹配，显著提升了开采效率与储量动用效果。该模型和算法在火山岩气藏配产优化中表现出较高的求解效率和全局优化能力，为火山岩气藏的科学开发与智能油气田建设提供了创新性技术支撑。

Taking D1 volcanic gas reservoir in the Junggar Basin as an example, aiming at the problems of uneven production allocation and empirical dependency issues in volcanic gas reservoir development, a multi-objective constrained optimization model for production allocation was constructed. Various constraints, including gas well capacity, reservoir characteristics, and formation pressure balance, were comprehensively considered, and a multi-objective optimization model was established. The grey wolf optimization algorithm was introduced to achieve global search, while a plane-balanced development strategy was employed to ensure a coordinated decline of formation pressure. The results show that under the premise that all constraints are satisfied, the optimization scheme is shown to achieve a coordinated match between gas well production and overall production planning, thereby significantly enhancing production efficiency and reservoir utilization. The model and algorithm are demonstrated to possess high computational efficiency and global optimization capability in the optimization of production allocation for volcanic gas reservoirs, thereby providing innovative technical support for the scientific development of volcanic gas reservoirs and the construction of intelligent oilfields.