Abstract: Aiming at the reality that traditional deterministic optimization method of gas storage is difficult to cope with the fluctuation of natural gas users'demand, the chance constrained programming method was adopted to establish the optimization model for the design of storage in gas fields with the objective of minimizing the total investment cost under the demand uncertainty. The optimization model took the cushion gas volume, the number of wells, the number of compressors, and the number of dewatering equipment as the decision variables, and involved the constraints such as inventory change, single-well injection and extraction capacity, and demand uncertainty, etc. In view of the uncertainty of users' demand, the chance constrained programming method was adopted for the pre-processing of the uncertainty, the optimization model was applied to the gas storage W23 in a certain oil field, and the GAMS modeling system with DICOPT solver was used for the solution. The results show that the optimization scheme under uncertainty saves CNY 60 213.34×10⁴ in the total investment cost, with obvious optimization effect; the uncertainty of user demand affects the investment decision of the gas storage facility to a larger extent, and the relationship between the total investment cost and the confidence level reflects the contradictory decision-making relationship between benefit and risk under uncertainty. The study is of great significance for the design of the gas storage.

Key words: chance constrained programming, gas storage, demand uncertainty, cushion gas volume, investment cost