Assessing anaerobic microbial degradation rates of crude light oil with reverse stable isotope labelling and community analysis

Sebastian Beilig, M. Pannekens, L. Voskuhl, Rainer U. Meckenstock
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Abstract

Oil reservoirs represent extreme environments where anaerobic degradation profoundly influences oil composition and quality. Despite the common observation of biodegraded oil, the microbial degradation rates remain largely unknown. To address this knowledge gap, we conducted microcosm incubations with light oil as carbon source, original formation water and sulfate as electron acceptor, closely mimicking in situ conditions to assess oil degradation rates. Samples were taken from a newly drilled oil well to exclude contamination with injection water and allochthonous microorganisms. At the end of the incubations, microbial community analyses with 16S rRNA gene amplicon sequencing revealed the most prominent phyla as Desulfobacterota, Thermotogota, Bacteroidota, Bacillota (formerly Firmicutes), and Synergistota, collectively accounting for up to 44% of relative abundance. Ion chromatography and reverse stable isotope labeling were used to monitor sulfate reduction and CO2 evolution respectively. We calculated an average degradation rate of 0.35 mmol CO2 per year corresponding to 15.2 mmol CO2/mol CH2(oil) per year. This resembles to approximately 200 years to degrade one gram of oil under the applied, presumably ideal conditions. Factoring in the available oil-water-contact (OWC) zone within the incubations yielded a degradation rate of 120 g CH2 m−2 OWC per year, closely aligning with the modeled degradation rates typically observed in oil reservoirs. Moreover, our study highlighted the utility of the reverse stable isotope labeling (RSIL) approach for measuring complex substrate degradation at minute rates.
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利用反向稳定同位素标记和群落分析评估轻质原油的厌氧微生物降解率
油藏是一种极端环境,在这种环境中,厌氧降解会对石油成分和质量产生深远影响。尽管生物降解的石油很常见,但微生物降解率在很大程度上仍不为人所知。为了填补这一知识空白,我们进行了以轻油为碳源、原始地层水和硫酸盐为电子受体的微生态系统培养,密切模拟原地条件来评估石油降解率。样本取自新钻的油井,以排除注入水和异源微生物的污染。培养结束后,使用 16S rRNA 基因扩增片段测序法对微生物群落进行分析,发现最主要的门类为脱硫菌门(Desulfobacterota)、热菌门(Thermotogota)、类杆菌门(Bacteroidota)、芽孢杆菌门(Bacillota)(原为真菌门)和协同菌门(Synergistota),合计占相对丰度的 44%。离子色谱法和反向稳定同位素标记法分别用于监测硫酸盐还原和二氧化碳进化。我们计算出的平均降解率为每年 0.35 毫摩尔 CO2,相当于每年 15.2 毫摩尔 CO2/毫摩尔 CH2(油)。这相当于在假设的理想条件下,降解一克石油大约需要 200 年。考虑到培养过程中可用的油水接触(OWC)区,降解率为每年 120 克 CH2 m-2 OWC,与通常在油藏中观察到的模型降解率非常接近。此外,我们的研究还强调了反向稳定同位素标记(RSIL)方法在测量微小速率的复杂底物降解方面的实用性。
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