Isolating, identifying and evaluating of oil degradation strains for the air-assisted microbial enhanced oil recovery process

Author:

Cheng MingmingORCID,Yu Long,Gao Jianbo,Lei Guanglun,Zhang Zaiwang

Abstract

Due to the inefficient reproduction of microorganisms in oxygen-deprived environments of the reservoir, the applications of microbial enhanced oil recovery (MEOR) are restricted. To overcome this problem, a new type of air-assisted MEOR process was investigated. Three compounding oil degradation strains were screened using biochemical experiments. Their performances in bacterial suspensions with different amounts of dissolved oxygen were evaluated. Water flooding, microbial flooding and air-assisted microbial flooding core flow experiments were carried out. Carbon distribution curve of biodegraded oil with different oxygen concentration was determined by chromatographic analysis. The long-chain alkanes are degraded by microorganisms. A simulation model was established to take into account the change in oxygen concentration in the reservoir. The results showed that the optimal dissolved oxygen concentration for microbial growth was 4.5~5.5mg/L. The main oxygen consumption in the reservoir happened in the stationary and declining phases of the microbial growth systems. In order to reduce the oxygen concentration to a safe level, the minimum radius of oxygen consumption was found to be about 145m. These results demonstrate that the air-assisted MEOR process can overcome the shortcomings of traditional microbial flooding techniques. The findings of this study can help for better understanding of microbial enhanced oil recovery and improving the efficiency of microbial oil displacement.

Funder

Natural Science Foundation of Shandong Province

the Natural Science Foundation of Shandong Province

Innovative Research Group Project of the National Natural Science Foundation of China

the Seed Fundamental Research Funded by Binzhou university

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

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