China Petroleum Exploration ›› 2021, Vol. 26 ›› Issue (3): 136-146.DOI: 10.3969/j.issn.1672-7703.2021.03.013

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Progress and application of microbial oil and gas detection technology in oil and gas exploration, Junggar Basin

Ding Li1,2,Hao Chun2, Wu Yubing2,Mei Hai2   

  1. 1 China University of Geosciences, Beijing; 2 AE&E Geomicrobial Technologies Inc.
  • Online:2021-05-14 Published:2021-05-15

Abstract: Microbial oil and gas detection technology can predict the occurrence and distribution of oil and gas reservoirs, which has the characteristics of less multi-solution, fast and economic. This technology adopts microbiological and geochemical methods to detect the number and community structure of exclusive microorganisms of sediment samples collected from surface soil or seabed. In recent years,key technologies such as the rapid on-site microbial detection and environmental factor correction have made important progress through continuous research and development, improving the prediction accuracy, reliability, and exploration efficiency. It has been applied in many fields in the Junggar Basin, such as deep structure, volcanic rock, and lithologic reservoir, which successfully predicted oil and gas bearing potential of several risk exploration wells, i.e., Wells GT1 and CT1, providing a new method and model for rapid evaluation of oil and gas bearing potential in new areas with complex geological and surface conditions. Therefore, it has broad application prospects in the exploration of structural reservoirs of lower assemblage in the southern margin, Carboniferous volcanic reservoirs in the northwestern margin, and Jurassic and Permian lithologic reservoirs in eastern margin of the Junggar Basin. However, the application of this technology has deficiency in bedrock exposed area, quicksand area, heavy oil reservoir with lack of light hydrocarbon and other areas, as well as in identifying the depth and horizon of oil and gas reservoirs.

Key words: microbial oil and gas detection technology, rapid on-site detection, environmental factor correction, deep structure, volcanic rock, Well GT1, Well CT1, Junggar Basin

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