Dynamic simulation of an underground gas storage injection-production network

Underground gas storage is a well-known strategic practice to seasonal peak shaving and emergency facility. The changing operation conditions of injection-production network directly affects the reliability of downstream gas supply of the city. In the present study, a model of injection-production network on the basis of field data analysis and research was established. By comparing the actual node pressure and simulation results, the reliability of model was verified. Based on the volume of underground gas storage and downstream gas consumption, the best seasonal peak-shaving schedule of the whole year was set. According to dynamic analysis of network, 20% increase in downstream demand could be fulfilled. Besides, the study also analyzed the well pressure and flow rate changes after shutdown of gas well, which is most likely to fail, and concludes that the best rescue time should be within 4 hr after gas supply interruption. The results would help in making decisions about the operation of injection-production network, which have important significance in the environmental protection.