泡沫阻力因子与残余阻力因子预测模型研究
Research on prediction model of foam resistance factor and residual resistance factor
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- 引用格式:
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周新宇,黄佳,韩璐,刘章,蔡红岩,贾宁洪,胡景宏.泡沫阻力因子与残余阻力因子预测模型研究[J].天然气与石油,2022,40(5):69-74.doi:10.3969/j.issn.1006-5539.2022.05.010
ZHOU Xinyu,HUANG Jia,HAN Lu,LIU Zhang,CAI Hongyan,JIA Ninghong,HU Jinghong.Research on prediction model of foam resistance factor and residual resistance factor[J].Natural Gas and Oil,2022,40(5):69-74.doi:10.3969/j.issn.1006-5539.2022.05.010
- DOI:
- 10.3969/j.issn.1006-5539.2022.05.010
- 作者:
- 周新宇1 黄佳1 韩璐1 刘章1,2 蔡红岩1 贾宁洪1 胡景宏2
ZHOU Xinyu1,HUANG Jia1,HAN Lu1,LIU Zhang1,2,CAI Hongyan1,JIA Ninghong1,HU Jinghong2
- 作者单位:
- 1. 提高石油采收率国家重点实验室(中国石油勘探开发研究院), 北京 100083; 2. 中国地质大学(北京)能源学院, 北京 100083
1. State Key Laboratory of Enhanced Oil Recovery, Research Institute of Petroleum Exploration and Development, CNPC, Beijing, 100083, China; 2. School of Energy and Resources, China University of Geosciences-Beijing, Beijing, 100083, China
- 关键词:
- 泡沫驱;泡沫阻力因子;残余阻力因子;渗透率;孔隙度;注入量
Foam flooding; Foam resistance factor; Residual resistance factor; Permeability; Porosity; Injection volume
- 摘要:
泡沫阻力因子及残余阻力因子是表征泡沫驱调剖封堵效果的重要参数,但受到岩心渗透率、孔隙度以及泡沫注入量等诸多因素的影响,需要通过大量的室内评价实验才能得到有效的泡沫阻力因子及残余阻力因子。通过SPSS分析软件,用逐步回归的方法拟合泡沫阻力因子和残余阻力因子与各因素之间的关系式,得出了各因素对泡沫阻力因子的影响规律,分析了各因素之间存在的相互作用并得到预测模型,再利用实验数据进行验证,确定预测模型的精度达80%以上,研究可为室内评价实验计算泡沫阻力因子与残余阻力因子提供参考。
Foam resistance factor and residual resistance factor are important parameters to characterize the profile control and plugging effect of foam flooding, but they may be affected by many factors such as core permeability, porosity, and foam injection amount. A large number of indoor evaluation experiments are required to obtain the effective foam resistance factor and residual resistance factor. Through SPSS software, the relationship between foam resistance factor and residual resistance factor and each factor is fitted using stepwise regression method. The influence rule of each factor on foam seepage resistance factor is obtained, and the interaction between each factor is analyzed. At last, the prediction model, with an accuracy of more than 80%, was obtained by combining the experimental data. The study provides a reference for the calculation of the foam resistance factor and the residual resistance factor in the indoor evaluation experiment.
