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Quantify Coal Macrolithotypes of a Whole Coal Seam: A Method Combing Multiple Geophysical Logging and Principal Component Analysis

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  • Chao Cui

    (School of Energy Resource, China University of Geosciences, Beijing 100083, China
    Coal Reservoir Laboratory of National Engineering Research Center of CBM Development & Utilization, China University of Geosciences, Beijing 100083, China
    Beijing Key Laboratory of Unconventional Natural Gas Geological Evaluation and Development Engineering, Beijing 100083, China)

  • Suoliang Chang

    (College of Mining Engineering, Taiyuan University of Technology, Taiyuan 030024, China)

  • Yanbin Yao

    (School of Energy Resource, China University of Geosciences, Beijing 100083, China
    Coal Reservoir Laboratory of National Engineering Research Center of CBM Development & Utilization, China University of Geosciences, Beijing 100083, China
    Beijing Key Laboratory of Unconventional Natural Gas Geological Evaluation and Development Engineering, Beijing 100083, China)

  • Lutong Cao

    (School of Energy Resource, China University of Geosciences, Beijing 100083, China
    Coal Reservoir Laboratory of National Engineering Research Center of CBM Development & Utilization, China University of Geosciences, Beijing 100083, China
    Beijing Key Laboratory of Unconventional Natural Gas Geological Evaluation and Development Engineering, Beijing 100083, China
    CCTEG Coal Mining Research Institute, Beijing 100013, China)

Abstract

Coal macrolithotypes control the reservoir heterogeneity, which plays a significant role in the exploration and development of coalbed methane. Traditional methods for coal macrolithotype evaluation often rely on core observation, but these techniques are non-economical and insufficient. The geophysical logging data are easily available for coalbed methane exploration; thus, it is necessary to find a relationship between core observation results and wireline logging data, and then to provide a new method to quantify coal macrolithotypes of a whole coal seam. In this study, we propose a L-Index model by combing the multiple geophysical logging data with principal component analysis, and we use the L-Index model to quantitatively evaluate the vertical and regional distributions of the macrolithotypes of No. 3 coal seam in Zhengzhuang field, southern Qinshui basin. Moreover, we also proposed a S-Index model to quantitatively evaluate the general brightness of a whole coal seam: the increase of the S-Index from 1 to 3.7, indicates decreasing brightness, i.e., from bright coal to dull coal. Finally, we discussed the relationship between S-Index and the hydro-fracturing effect. It was found that the coal seam with low S-Index values can easily form long extending fractures during hydraulic fracturing. Therefore, the lower S-Index values indicate much more favorable gas production potential in the Zhengzhuang field. This study provides a new methodology to evaluate coal macrolithotypes by using geophysical logging data.

Suggested Citation

  • Chao Cui & Suoliang Chang & Yanbin Yao & Lutong Cao, 2021. "Quantify Coal Macrolithotypes of a Whole Coal Seam: A Method Combing Multiple Geophysical Logging and Principal Component Analysis," Energies, MDPI, vol. 14(1), pages 1-19, January.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:1:p:213-:d:474160
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    References listed on IDEAS

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    1. Charbucinski, J. & Nichols, W., 2003. "Application of spectrometric nuclear borehole logging for reserves estimation and mine planning at Callide coalfields open-cut mine," Applied Energy, Elsevier, vol. 74(3-4), pages 313-322, March.
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    Cited by:

    1. Qingfeng Zhang & Yongchen Li & Ziling Li & Yanbin Yao & Fengfeng Du & Zebin Wang & Zhihao Tang & Wen Zhang & Shutong Wang, 2024. "Fracture Propagation Laws and Influencing Factors in Coal Reservoirs of the Baode Block, Ordos Basin," Energies, MDPI, vol. 17(23), pages 1-15, December.

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