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中文
Yongchen Song

Professor
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates


Gender:Male
Alma Mater:大连理工大学
Degree:Doctoral Degree
School/Department:能源与动力学院
Discipline:Energy and Environmental Engineering
Business Address:能动大楼810
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Current position: Home >> Scientific Research >> Paper Publications
CO2 Miscible Simulation for Magnetic Resonance Imaging Coreflood Tests

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Indexed by:Conference Paper

Date of Publication:2013-01-01

Included Journals:CPCI-S

Volume:37

Page Number:6936-6941

Key Words:CO2 miscible flooding; reservoir simulation; Magnetic Resonance Imaging; coreflood test

Abstract:CO2 miscible flooding is one of main technologies in both the secondary and tertiary floods for Enhanced Oil Recovery (EOR). In addition, it is also an important alternative for a geological CO2 storage. In the recent twenty years, the fundamental research for visualized CO2-EOR has been launched by using mainly the Magnetic Resonance Imaging (MRI). In this study, we simulated a CO2 miscible model by using Eclipse reservoir simulation software based on the MRI coreflood test. We modified the numerical model of CO2 miscible flooding by changing the parameters to improve the CO2 miscible flood simulation results. (C) 2013 The Authors. Published by Elsevier Ltd.