DocumentCode
2510891
Title
Indigenous Microbial Diversity in Conglomerate Oil Reservoirs Analyzed by PCR-DGGE
Author
She, Yuehui ; Zhang, Fan ; Shu, Fuchang ; Zhao, Liping ; Yu, Longjiang
Author_Institution
Coll. of Chem. & Environ. Eng., Yangtze Univ., Jingzhou, China
fYear
2009
fDate
11-13 June 2009
Firstpage
1
Lastpage
5
Abstract
Recent investigations of the microbial communities in an oil reservoir using culture-independent molecular techniques has indicated that this environment contains many uncultured assemblages, and that the cultured bacteria may represent very minor components of the true microbial diversity. In this study, 16S rDNA based PCR amplification and denaturing gradient gel electrophoresis (PCR-DGGE) was used to monitor the microbial diversity in an injection well (12#9-11) and two related production wells (12#9-9S, 13#11-8) in the KELAMAYI oilfield (Xin Jiang Autonomous Region) . The DGGE gel profiles showed significant difference between the microbial community structure of injection and production wells. The bacterial species richness in the injection well was higher than those of the production ones. Unweighted Pair Group Method Clustering (UPGMC) showed the similarity between the injection well and two production wells was 30% and 20% respectively, whereas the similarity between the two production wells was 54%. In addition, the dominant bands in the DGGE gel were excised and analyzed by nucleotide sequence analysis. This analysis of 10 excised bands showed that the dominant microorganisms in all samples had high sequence identity with rRNA genes from uncultured bacteria in the GenBank database (NCBI). Nine sequences of excised band were affiliated with alpha, gamma, delta, epsiv-Proteobacteria, and one was related to Bacteroides. Two bands exhibited 100% identity to sequences of Pseudomonas stutzeri and Aminobacter sp. cox, respectively. Three bands showed relatively low identity (92% to 93%) to cultured bacteria in the GenBank database, indicating possible new taxa. This work analyzed the composition of the microbial community in KELAMAYI oilfield, which provides important data which may facilitate the isolation of new bacteria from this special underground environment. It also provides useful information for understanding the mechanism of MEOR and applying MEOR in pr- actical oil production in KELAMAYI oilfield.
Keywords
electrophoresis; hydrocarbon reservoirs; microorganisms; Aminobacter sp. cox; GenBank database; KELAMAYI oilfield; PCR amplification; PCR-DGGE analysis; Pseudomonas stutzeri; Unweighted Pair Group Method Clustering; Xin Jiang Autonomous Region; bacteria; conglomerate oil reservoirs; denaturing gradient gel electrophoresis; indigenous microbial diversity; Assembly; Chemical technology; Cultural differences; Educational institutions; Electrokinetics; Hydrocarbon reservoirs; Microorganisms; Petroleum; Production; Sequences;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-2901-1
Electronic_ISBN
978-1-4244-2902-8
Type
conf
DOI
10.1109/ICBBE.2009.5162946
Filename
5162946
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