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A Toolkit to Enable Hydrocarbon Conversion in Aqueous Environments
Published on: October 2, 2012
Syntrophic Hydrocarbon Degradation in a Decommissioned Off-Shore Subsea Oil Storage Structure
Adrien Vigneron1,2,3, Perrine Cruaud3, Frederic Ducellier4
1Shell International Exploration and Production Inc., Houston, TX 77082, USA.
Microbial communities in a subsea oil storage structure show potential for degrading hydrocarbons. This finding is crucial for environmental risk mitigation during oil field decommissioning.
Area of Science:
- Microbiology
- Environmental Science
- Genomics
Background:
- Oil production significantly impacts petroleum reservoir microbial ecology.
- Microbial communities in oil infrastructure are vital for bioremediation, biocorrosion, and H2S production but remain understudied.
- Understanding these microbiomes is critical for environmental risk mitigation, especially during decommissioning.
Purpose of the Study:
- To analyze the planktonic microbial community in the aqueous phase of a subsea oil storage structure.
- To identify dominant microbial lineages and their metabolic potential for hydrocarbon degradation.
- To inform decommissioning strategies for marine infrastructure.
Main Methods:
- Quantification and sequencing of microbial 16S rRNA genes.
- Metagenomic analysis.
- Reconstruction of metagenome-assembled genomes (MAGs).
Main Results:
- A unique microbiome dominated by organisms related to Dethiosulfatibacter and Cloacimonadetes was identified.
- The community exhibited a strong potential for degrading low molecular weight aromatic hydrocarbons.
- Genes involved in interspecies electron transfer and formate/acetate metabolism were widespread, suggesting syntrophic degradation.
Conclusions:
- Genomic data is essential for informing decommissioning strategies in marine environments.
- Hydrocarbon-degrading microbial communities in man-made structures can differ significantly from those in natural marine environments.
- The study expands the known repertoire of hydrocarbon degraders and highlights potential syntrophic processes.
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