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Volume 44 Issue 5
Sep.  2022
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Article Navigation >  PETROLEUM GEOLOGY & EXPERIMENT  > 2022  >  44(5): 896-903
XU Kewei, ZHENG Xuying, GU Lei, GUO Jiaqi, TANG Yuping. Molecular microbial prospection for oil and gas and its preliminary application[J]. PETROLEUM GEOLOGY & EXPERIMENT, 2022, 44(5): 896-903. doi: 10.11781/sysydz202205896
Citation: XU Kewei, ZHENG Xuying, GU Lei, GUO Jiaqi, TANG Yuping. Molecular microbial prospection for oil and gas and its preliminary application[J]. PETROLEUM GEOLOGY & EXPERIMENT, 2022, 44(5): 896-903. doi: 10.11781/sysydz202205896
shu

Molecular microbial prospection for oil and gas and its preliminary application

doi: 10.11781/sysydz202205896

  • Wuxi Research Institute of Petroleum Geology, SINOPEC, Wuxi, Jiangsu 214126, China

  • Received Date: 2022-01-07
  • Rev Recd Date: 2022-07-04
  • Publish Date: 2022-09-28
    Abstract
  • Due to the advantages such as low multi-solution, high signal-to-noise ratio, low environmental impact, high efficiency and low cost, microbial prospection for oil and gas has been accepted for petroleum exploreration. With the rapid development of high-throughput sequencing, molecular biology and bioinformatics, describing the changes of specific oil and gas indicator micro-organisms from the perspective of microbial community as a whole has become an valuable progress of microbial exploration method for the future. In this paper, soil sampling, DNA extraction and analysis, discriminant model development and favorable area prediction are introduced, and soil DNA extraction as well as oil/gas indicator micro-organism detection are emphasized. With the study of industrial-grade DNA extraction technology, Griffth method has been considered as the best effect for the extraction and purification of soil microbial DNA. For projects with a large sample number, high-throughput pipetting workstations and commercial multi-well plate DNA extraction kits can greatly improve working efficiency. Integrated stable isotope probes and the molecular detection of high-throughput sequencing showed that the main hydrocarbon indicator microorganism strains typically imply the expected distribution. High frequency oil indicator bacteria (AMNR) are Arthrobacter, Mycobacterium, Nocardia, and Rhodospirillum, while high frequency gas indicator bacteria include Methylococcus, Methylobacterium, and Methylocystis. The preliminary application in the Hangjinqi area shows that the microbial molecular exploration technology can significantly improve the oil and gas identification accuracy in loess tableland regions, and has a good effect on the evaluation of oil and gas bearing property, which provides a reference for the selection of favorable tight gas regions in the northern part of Ordos Basin.

     

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