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Visualization Study of Produced Oil Based on Magnetic Resonance Imaging Technology
Author(s) -
Xiaocong Wang,
Qun Lei,
Jianhui Luo,
Yinzhu Ye,
Xingcai Wu,
Peiwen Xiao,
Yang Liu
Publication year - 2021
Publication title -
acs omega
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.779
H-Index - 40
ISSN - 2470-1343
DOI - 10.1021/acsomega.0c05702
Subject(s) - petroleum engineering , visualization , water flooding , enhanced oil recovery , flooding (psychology) , materials science , environmental science , dispersion (optics) , geology , computer science , optics , physics , artificial intelligence , psychology , psychotherapist
In recent years, visualization technology based on magnetic resonance imaging has been widely used in core flooding experiments and mechanism research. In this research, the visualization of produced oil is realized by subtracting from image signals collected in different displacement stages. The distribution images of the produced oil can be used to clearly analyze the oil displacement characteristics of cores with different permeabilities and chemical agents with different functions. The distribution image of the produced oil shows advantageous and hard-to-reach areas of water flooding in cores with different permeabilities. The SMG dispersion by blocking the dominant water pathway produced remaining oil areas that were difficult to be swept water flooding and then enlarged the swept volume. The produced oil is concentrated at both ends and dispersed in the middle of the core. The polymer flooding by improving the viscosity of water flooding sharply increased the injection pressure and then swept all areas. The distribution image of the produced oil has the characteristics of filamentous continuous advancement.

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