Research on the Main Controlling Factors for Injection and Production Allocation of Polymer Flooding

被引:0
|
作者
An, Zhibin [1 ,2 ,3 ]
Zhou, Kang [4 ]
Hou, Jian [1 ,2 ,3 ]
Wu, Dejun [1 ,2 ,3 ]
Pan, Yuping [1 ,2 ,3 ]
Liu, Shuai [1 ,2 ,3 ]
机构
[1] China Univ Petr East China, Key Lab Unconvent Oil & Gas Dev, Minist Educ, Qingdao 266580, Peoples R China
[2] Qingdao Natl Lab Marine Sci & Technol, Lab Marine Mineral Resources, Qingdao 266237, Peoples R China
[3] China Univ Petr East China, Sch Petr Engn, Qingdao 266580, Peoples R China
[4] Shandong Univ Sci & Technol, Coll Energy & Min Engn, Qingdao 266590, Peoples R China
基金
中国国家自然科学基金; 美国国家科学基金会;
关键词
main controlling factors; injection and production allocation; intelligent optimization; correlation analysis; polymer flooding; petroleum wells-drilling/production/ construction; SENSITIVITY-ANALYSIS; OPTIMIZATION; GAS; DESIGN; PERFORMANCE; PREDICTION;
D O I
10.1115/1.4055592
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
A clear understanding of the main controlling factors for injection and production allocation of polymer flooding is the key to successful differential adjustment for well management in high water cut reservoirs. Generally, sensitivity analysis or design of experiment is used to study the main controlling factors, but the number of adjustment parameters is limited and the optimal results are hard to obtain. Therefore, the paper regards the problem as an inverse problem and studies the controlling factors by combining intelligent optimization and correlation analysis. In general, the correlation between the optimal results of injection and production allocation and each controlling factor is analyzed, and the main controlling factors with the strongest correlation are selected. Results show that injection rate allocation is mainly controlled by pore volume, polymer concentration allocation is mainly controlled by pore volume and formation coefficient, and production rate allocation is mainly controlled by remaining reserves and oil saturation. The case study indicates injection and production adjustment based on the main controlling factors obtains satisfactory development performance while using much less computation cost than that of the intelligent optimization method. The research results provide a good reference for well redistribution adjustment of polymer flooding in large-scale oilfields.
引用
收藏
页数:9
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