宋永臣

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

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Magnetic resonance imaging on CO2 miscible and immiscible displacement in oil-saturated glass beads pack

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论文类型:期刊论文

发表时间:2011-10-01

发表刊物:MAGNETIC RESONANCE IMAGING

收录刊物:Scopus、SCIE、PubMed

卷号:29

期号:8

页面范围:1110-1118

ISSN号:0730-725X

关键字:CO2 displacement; n-decane; MRI; Image intensity; Coreflood analysis

摘要:In this study, the displacement processes were observed as gaseous or supercritical CO2 was injected into n-decane-saturated glass beads packs using a 400-MHz magnetic resonance imaging (MRI) system. Two-dimensional images of oil distribution in the vertical median section were obtained using a spin-echo pulse sequence. Gas channeling and viscous fingering appeared obviously in immiscible gaseous CO2 displacement. A piston-like displacement front was detected in miscible supercritical CO2 displacement that provided high sweep efficiency. MRI images were processed with image intensity analysis methods to obtain the saturation profiles. Final oil residual saturations and displacement coefficients were also estimated using this imaging intensity analysis. It was proved that miscible displacement can enhance the efficiency of CO2 displacement notably. Finally, a special coreflood analysis method was applied to estimate the effects of capillary, viscosity and buoyancy based on the obtained saturation data. (C) 2011 Elsevier Inc. All rights reserved.