title: Comparison of microbial community compositions of injection and production well samples in a long-term water-flooded petroleum reservoir.
abstract: Water flooding plays an important role in recovering oil from depleted petroleum reservoirs. Exactly how the microbial communities of production wells are affected by microorganisms introduced with injected water has previously not been adequately studied. Using denaturing gradient gel electrophoresis (DGGE) approach and 16S rRNA gene clone library analysis, the comparison of microbial communities is carried out between one injection water and two production waters collected from a working block of the water-flooded Gudao petroleum reservoir located in the Yellow River Delta. DGGE fingerprints showed that the similarities of the bacterial communities between the injection water and production waters were lower than between the two production waters. It was also observed that the archaeal composition among these three samples showed no significant difference. Analysis of the 16S rRNA gene clone libraries showed that the dominant groups within the injection water were Betaproteobacteria, Gammaproteobacteria and Methanomicrobia, while the dominant groups in the production waters were Gammaproteobacteria and Methanobacteria. Only 2 out of 54 bacterial operational taxonomic units (OTUs) and 5 out of 17 archaeal OTUs in the injection water were detected in the production waters, indicating that most of the microorganisms introduced by the injection water may not survive to be detected in the production waters. Additionally, there were 55.6% and 82.6% unique OTUs in the two production waters respectively, suggesting that each production well has its specific microbial composition, despite both wells being flooded with the same injection water.
authors.affiliation: State Key Laboratory of Microbial Metabolism and School of Life Science & Biotechnology, Shanghai Jiao Tong University, Shanghai, China.
authors.forename: Hong-Yan
authors.initials: HY
authors.lastname: Ren
authors.forename: Xiao-Jun
authors.initials: XJ
authors.lastname: Zhang
authors.forename: Zhi-yong
authors.initials: ZY
authors.lastname: Song
authors.forename: Wieger
authors.initials: W
authors.lastname: Rupert
authors.forename: Guang-Jun
authors.initials: GJ
authors.lastname: Gao
authors.forename: Sheng-xue
authors.initials: SX
authors.lastname: Guo
authors.forename: Li-Ping
authors.initials: LP
authors.lastname: Zhao
mesh_terms: D001105:Archaea / Q000145:classification / Q000235:genetics / Q000254:growth & development; D001419:Bacteria / Q000145:classification / Q000235:genetics / Q000254:growth & development; D020562:Betaproteobacteria / Q000145:classification / Q000235:genetics / Q000254:growth & development; D004275:DNA, Ribosomal / Q000737:chemistry / Q000235:genetics; D058645:Denaturing Gradient Gel Electrophoresis / Q000379:methods; D017753:Ecosystem; D020563:Gammaproteobacteria / Q000145:classification / Q000235:genetics / Q000254:growth & development; D019638:Methanomicrobiaceae / Q000145:classification / Q000235:genetics / Q000254:growth & development; D008969:Molecular Sequence Data; D061329:Oil and Gas Fields / Q000382:microbiology*; D010578:Petroleum / Q000382:microbiology*; D010802:Phylogeny; D012336:RNA, Ribosomal, 16S / Q000235:genetics; D017422:Sequence Analysis, DNA; D014871:Water Microbiology; D060986:Water Wells / Q000382:microbiology*
chemical_list: D004275:DNA, Ribosomal; D010578:Petroleum; D012336:RNA, Ribosomal, 16S