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Systematic modelling incorporating temperature, pressure, and salinity effects on in-situ microbial selective plugging for enhanced oil recovery in a multi-layered system

Authors
Jeong, Moon SikCho, JinhyungLee, Kun Sang
Issue Date
Jan-2022
Publisher
ELSEVIER
Keywords
Microbial enhanced oil recovery (MEOR); Selective plugging; Multi-layered system; Microbial reaction; Reservoir environment; Numerical modelling
Citation
BIOCHEMICAL ENGINEERING JOURNAL, v.177, pp.1 - 19
Indexed
SCIE
SCOPUS
Journal Title
BIOCHEMICAL ENGINEERING JOURNAL
Volume
177
Start Page
1
End Page
19
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/139914
DOI
10.1016/j.bej.2021.108260
ISSN
1369-703X
Abstract
The microbial enhanced oil recovery (MEOR) process has been identified as a promising alternative to conventional enhanced oil recovery methods because it is eco-friendly and economically advantageous. Despite its various advantages, the technique is not widely applied because the reservoir conditions such as temperature, pressure, and salinity are extremely harsh for microbial survival. In this study, an accurate microbiological model incorporating the environmental effects has been developed. The efficiency of the MEOR process based on selective plugging by microbial biopolymer generation has been examined in multi-layered systems with high permeability contrast. The MEOR is applied to multi-layered reservoirs of different environmental conditions. When the MEOR is applied to a high temperature reservoir, there is an optimum injection temperature that can greatly improve the oil production. Oil productivity in a high-pressure reservoir is estimated to decrease by 15% when the pressure effect is considered. We simulated different salinity conditions and showed that oil recovery decreased with increasing salinity and only was affected by injected water salinity. The oil recovery obtained by the developed model included all three environmental effects and provided estimates 21% lower than that of a previous model that did not account for the environmental effects.
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Lee, Kun Sang
COLLEGE OF ENGINEERING (DEPARTMENT OF EARTH RESOURCES AND ENVIRONMENTAL ENGINEERING)
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