Optimization of the injection-production process of underground gas storage in depleted gas reservoir

被引:0
|
作者
Chang, Haibin [1 ]
Duo, Tangkun [2 ]
Li, Bei [2 ]
Wen, Kai [3 ]
Meng, Tao [4 ]
Bai, Chenbing [1 ]
Zhang, Hongwei [1 ]
机构
[1] China Univ Min & Technol Beijing, Sch Energy & Min Engn, Beijing 100083, Peoples R China
[2] Pipe China Zhong Yuan Gas Storage LLC Co, Puyang 457000, Peoples R China
[3] China Univ Petr, Beijing Key Lab Urban Oil & Gas Distribut Technol, Beijing 102249, Peoples R China
[4] Taiyuan Univ Sci & Technol, Taiyuan 030024, Peoples R China
来源
基金
北京市自然科学基金; 中国国家自然科学基金;
关键词
Underground gas storage; Constrained optimization; Injection-production optimization; Ensemble based minimization; Intelligent operation; BRUGGE BENCHMARK;
D O I
10.1016/j.jgsce.2025.205605
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
In this work, a framework is proposed for optimizing the injection-production process of underground gas storage in depleted gas reservoir. The optimization problem is formulized as a minimization problem with multiple constraints. The objective function is defined with respect to the pressure change. And, the constraints are introduced with respect to the injection (or production) amount, injection (or production) rate, and reservoir pressure. Spatial allocation coefficients and temporal allocation coefficients are introduced as the control variables. Ensemble-based minimization method is adopted for updating the control variables. The Brugge model is modified as a depleted gas reservoir for testing the proposed method. Both one-month and multi-month injection (or production) optimizations are investigated. Through minimizing the defined objective function, the proposed method can provide the optimized injection (or production) plan for all of the wells, and can identify the wells that are not recommended for use. Based on the reservoir pressure constraints, the feasibility of different injection (or production) target within a given time period for an underground gas storage site can be evaluated. The proposed method can be helpful for the safe and intelligent operation of underground gas storage.
引用
收藏
页数:16
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