Underground gas storage is an important facility for regulating the supply and demand of natural gas, optimising the allocation of gas sources and ensuring the safety of gas supply. The traditional emergency response mechanism for gas storage often relies on emergency response agents' experience and judgement, while there is a lack of a systematic and scientific decision support method to ensure the efficient transfer of information in the emergency response process and maximize the benefits of emergency response scheme. A gas storage reservoir emergency response optimization method was proposed, which constructs a gas storage reservoir emergency response model using the intelligent body cooperative response modeling language. Besides, a method of calculating the disposal benefit of emergency response scheme based on the depth-first search strategy was presented, which determines the optimal cooperative response scheme by using the benefit rate as a robustness indicator of the emergency response cooperative scheme. Finally, taking the emergency response process of Chongqing Xiangguosi Gas Storage Reservoir as an example, a case study was conducted. The results show that compared with the original emergency response scheme, the optimal cooperative response scheme reduces the end-of-response elapsed time by 38.4% and improves the rate of return by 26. 61% . The coordinated response scheme combined with the optimisation algorithm is effective in reducing time consumption and increasing disposal yield.