2016
DOI: 10.3389/fmicb.2016.01535
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Environmental Drivers of Differences in Microbial Community Structure in Crude Oil Reservoirs across a Methanogenic Gradient

Abstract: Stimulating in situ microbial communities in oil reservoirs to produce natural gas is a potentially viable strategy for recovering additional fossil fuel resources following traditional recovery operations. Little is known about what geochemical parameters drive microbial population dynamics in biodegraded, methanogenic oil reservoirs. We investigated if microbial community structure was significantly impacted by the extent of crude oil biodegradation, extent of biogenic methane production, and formation water… Show more

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Cited by 35 publications
(26 citation statements)
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“…Taxonomic profiling of metagenome reads revealed that Appalachian Basin metagenomes contained varied proportions of Archaea and Bacteria, with the relative abundance ranging from 1–81%, and 19–99%, respectively (Figure 1). The relative abundance of Archaea was >48% for five of the eight metagenomes, greater than what has been found in other coalbed basins 6–8 , but similar to Archaea abundances in crude oil reservoirs 28 .…”
Section: Resultssupporting
confidence: 51%
“…Taxonomic profiling of metagenome reads revealed that Appalachian Basin metagenomes contained varied proportions of Archaea and Bacteria, with the relative abundance ranging from 1–81%, and 19–99%, respectively (Figure 1). The relative abundance of Archaea was >48% for five of the eight metagenomes, greater than what has been found in other coalbed basins 6–8 , but similar to Archaea abundances in crude oil reservoirs 28 .…”
Section: Resultssupporting
confidence: 51%
“…The microbial community profiles of the Crossfield and Segno produced waters were analysed in depth alongside the microbial community profiles of produced waters from other oil reservoirs of varying geographical locations and physicochemical characteristics (Table S4). Comparisons were constructed with the raw 16S rRNA amplicon sequence data sets acquired from the NCBI Sequence Read Archive (SRA) and through personal communication (Lewin et al, 2014;Gao et al, 2015;Hu et al, 2016;Shelton et al, 2016;Li et al, 2017;Vigneron et al, 2017). As expected from the nearly identical microbial compositions of the Crossfield and Segno samples, tight clustering was observed for the microbial communities in these samples, regardless of the metrics used for beta diversity calculation (Fig.…”
Section: Comparative Analyses Of Oil Reservoir Microbial Communitiesmentioning
confidence: 99%
“…This strategy may be more feasible for residual lighter oils, where it is estimated that an additional production of 5%-10% of the oil mass may be recovered, increasing the lifetime of these reservoirs (Jiménez et al, 2016). Strategies for in situ conversion of oil-to-methane, in addition to being driven by the natural gas market, will thus be determined by conditions specific to given oil field operations (Shelton et al, 2016). In this context, the present work highlights that the extent of pre-existing biodegradation is an important determinant and suggests that heavy oils are poor candidates as feedstocks for further biological conversion by resident microbial communities.…”
Section: Resultsmentioning
confidence: 99%