| Title |
Microbial community dynamics in Baolige oilfield during MEOR treatment, revealed by Illumina MiSeq sequencing
|
|---|---|
| Published in |
Applied Microbiology and Biotechnology, October 2015
|
| DOI | 10.1007/s00253-015-7073-4 |
| Pubmed ID | |
| Authors |
Jing You, Gang Wu, Fuping Ren, Qi Chang, Bo Yu, Yanfen Xue, Bozhong Mu |
| Abstract |
This study was carried out to understand microbial diversity and function in the microbial enhanced oil recovery (MEOR) process and to assess the impact of MEOR treatment on the microbial community in an oil reservoir. The Illumina MiSeq-based method was used to investigate the structure and dynamics of the microbial community in a MEOR-treated block of the Baolige oilfield, China. The results showed that microbial diversity was high and that 23 phyla occurred in the analyzed samples. Proteobacteria, Firmicutes, Bacteroidetes, Thermotogae, and Euryarchaeota were present in relatively high abundance in all analyzed samples. Injection of bacteria and nutrients resulted in interesting changes in the composition of the microbial community. During MEOR treatment, the community was dominated by the known hydrocarbon-utilizing genera Pseudomonas and Acinetobacter. After the treatment, the two genera decreased in abundance over time while Methanobacteriaceae, as well as known syntrophic genera such as Syntrophomonas, Pelotomaculum, Desulfotomaculum, and Thermacetogenium gradually increased. The change in dominant microbial populations indicated the presence of a succession of microbial communities over time, and the hydrocarbon degradation and syntrophic oxidation of acetate and propionate to methane in the MEOR-treated oilfield. This work contributes to a better understanding of microbial processes in oil reservoirs and helps to optimize MEOR technology. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 1% |
| Unknown | 76 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 22% |
| Researcher | 10 | 13% |
| Student > Doctoral Student | 10 | 13% |
| Student > Master | 7 | 9% |
| Student > Bachelor | 5 | 6% |
| Other | 13 | 17% |
| Unknown | 15 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 18 | 23% |
| Biochemistry, Genetics and Molecular Biology | 13 | 17% |
| Environmental Science | 13 | 17% |
| Engineering | 5 | 6% |
| Energy | 4 | 5% |
| Other | 6 | 8% |
| Unknown | 18 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 October 2015.
All research outputs
#15,190,918
of 24,119,703 outputs
Outputs from Applied Microbiology and Biotechnology
#5,484
of 8,034 outputs
Outputs of similar age
#151,770
of 288,439 outputs
Outputs of similar age from Applied Microbiology and Biotechnology
#58
of 145 outputs
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