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Volume 47 Issue 3
May  2025
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Article Navigation >  PETROLEUM GEOLOGY & EXPERIMENT  > 2025  >  47(3): 659-670
HUANG Xiangsheng, LUO Chengfei, ZHANG Qun, CHEN Jinding, ZHANG Yaoyuan, LIU Xiaowen. Discussion on key technologies in micro-CT experiments and their applications in oil and gas exploration[J]. PETROLEUM GEOLOGY & EXPERIMENT, 2025, 47(3): 659-670. doi: 10.11781/sysydz2025030659
Citation: HUANG Xiangsheng, LUO Chengfei, ZHANG Qun, CHEN Jinding, ZHANG Yaoyuan, LIU Xiaowen. Discussion on key technologies in micro-CT experiments and their applications in oil and gas exploration[J]. PETROLEUM GEOLOGY & EXPERIMENT, 2025, 47(3): 659-670. doi: 10.11781/sysydz2025030659
shu

Discussion on key technologies in micro-CT experiments and their applications in oil and gas exploration

doi: 10.11781/sysydz2025030659

  • CNOOC Energy Development Co., Ltd., Haikou, Hainan 570100, China

  • Received Date: 2024-09-05
  • Rev Recd Date: 2025-03-17
  • Publish Date: 2025-05-28
    Abstract
  • Micro-CT technology has been widely applied in oil and gas exploration and development. However, unified standards for key control parameters and data processing methods have yet to be established, significantly affecting data accuracy and comparability. To systematically study the impact of micro-CT experimental parameters on test results, seven representative samples from the Beibuwan Basin and the Yinggehai Basin in the South China Sea were used as the research subjects. The research focused on the impact of scanning resolution, representative volume element (RVE) size, and data processing methods on experimental outcomes. The findings indicated that: (1) A fixed scanning resolution is a key factor in ensuring data reliability, as it significantly affects the extraction of pore structure parameters and subsequent analysis. Resolution should be optimized considering sample size and lithological characteristics. (2) For characterizing the porosity of sandstone samples, better result accuracy can be achieved by increasing the RVE size. While constructing pore network models, the RVE size should be no smaller than 600×600×600 voxels to ensure model representativeness. (3) Use interval-based statistics to calculate the cumulative volume frequency of pore diameters (Φ), and plot the pore size distribution curves. Use the volumetric method to calculate the average pore diameter. These methods can provide a more accurate characterization of rock pore structure. The study offers theoretical support for the application and workflow optimization of micro-CT technology in oil and gas exploration, providing a reference for establishing experimental standards.

     

    • All authors declare no relevant conflict of interests.
    The experiment was designed by HUANG Xiangsheng, CHEN Jinding, ZHANG Yaoyuan, and ZHANG Qun. The experimental operation was completed by HUANG Xiangsheng, LUO Chengfei, and LIU Xiaowen. The manuscript was drafted and revised by HUANG Xiangsheng and LUO Chengfei. All authors have read the final version of the paper and consented to its submission.
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