Production Characteristics, Evaluation, and Prediction of CO2 Water-Alternating-Gas Flooding in Tight Oil Reservoir

被引:9
|
作者
Chai, Xiaolong [1 ]
Tian, Leng [1 ]
Zhang, Mengyuan [1 ]
Shao, Hongzhi [2 ]
Wang, Jianguo [1 ]
Zhang, Kaiqiang [3 ]
机构
[1] China Univ Petr, Inst Petr Engn, State Key Lab Petr Resources & Prospecting, Beijing 102249, Peoples R China
[2] Exp & Testing Res XinJiang Oilfield Co Petrochina, Res Inst Enhance Oil Recovery, Kelamayi, XinJiang, Peoples R China
[3] Imperial Coll London, Dept Chem Engn, South Kensington Campus, London SW7 2AZ, England
来源
JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME | 2022年 / 144卷 / 03期
基金
中国国家自然科学基金;
关键词
production characteristics; CO2 WAG flooding; tight reservoir; production prediction; gray relation analysis; primary influencing factors; energy systems analysis; oil; gas reservoirs; petroleum engineering; unconventional petroleum; WATER-ALTERNATING-CO2; PROCESSES; OPTIMIZATION; PERFORMANCE; INJECTIVITY; RECOVERY;
D O I
10.1115/1.4052492
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
It is complex and obviously different for the production characteristics of CO2 water-alternating-gas (WAG) flooding in tight reservoir and influenced by quite a few factors. Therefore, the prediction of oil production is a key matter of efficient development of CO2 WAG to be solved in tight reservoirs. In order to cope with this issue, in this paper, the production characteristics of CO2 WAG flooding are analyzed and classified in tight oil reservoir of block A as an example. On this basis, properties of reservoir, fracture factors, and operational factors are taken into account and the sensitivity of the influencing factors is carried out. Subsequently, the gray relation analysis is used to confirm the primary influencing factors. Finally, the evaluated model is established to predict oil production rapidly. The results illustrate that the wells of CO2 WAG flooding in tight reservoirs can be divided into four types of fluid production characteristics. The production is affected by permeability, reservoir thickness, amount of sand entering the ground, amount of liquid entering the ground, gas/water ratio, the injection rate, injection pressure, permeability variation coefficient, water sensitive index, acid sensitive index, and expulsion pressure. And the primary influencing factors are the amount of sand entering the ground, reservoir thickness, and amount of liquid entering the ground. The oil production can be predicted quickly based on the relation between production and comprehensive evaluation factor of production. The average relative error between the predicted results and the actual production is 8%, which proves the reliability and accuracy of this method.
引用
收藏
页数:9
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