个人信息Personal Information
教授
博士生导师
硕士生导师
性别:男
毕业院校:大连理工大学
学位:博士
所在单位:能源与动力学院
学科:能源与环境工程
办公地点:能动大楼810
联系方式:songyc@dlut.edu.cn
电子邮箱:songyc@dlut.edu.cn
Effects of the errors between core heterogeneity and the simplified models on numerical modeling of CO2/water core flooding
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论文类型:期刊论文
发表时间:2020-03-01
发表刊物:INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
收录刊物:EI、SCIE
卷号:149
ISSN号:0017-9310
关键字:CO2 geological sequestration; Numerical modeling/simulation; Multiphase flow; Local trapping; petrophysical heterogeneity
摘要:Core heterogeneity is an important factor influencing CO2 and brine migration in porous media but difficult to be accurately described using models. In this study, we quantitatively evaluate the effects of the errors between core heterogeneity and the simplified models on numerical modeling of CO2 core flooding. Results indicate: 1) The model error from the 1D simplification of 3D petrophysical heterogeneity could make the multiphase flow modeling fail to reflect the mean behavior of the core plug, and the resultant deviations in the averaged CO2 saturation (S-CO2) can span from -0.1 to 0.2. Besides, using the 1D heterogeneous core model in the modeling generally conceals the local S-CO2 buildup and accordingly clouds judgment about variation trend of the local S-CO2. 2) The settings of the local petrophysical properties for the low-porosity heterogeneous structures in the cores have a significant impact on the predicted S-CO2 distribution in front of these structures. Particularly, the errors in their capillary entry pressure could lead to the significant underestimation of the local S-CO2 near them. Consequently, the model outputs cannot reflect the local S-CO2 buildup behavior. 3) Both magnitude and variation trend of the predicted local S-CO2 could be numerically sensitive to 3D heterogeneity distribution, notably increasing the probability of the mismatching between model predictions and experimental observations. Comparatively, more efforts should be paid to the parameter setting of the heterogeneous structures in order to improve the reliability of the CO2 core flooding modeling. (C) 2019 Elsevier Ltd. All rights reserved.