Prediction Method of Coal Texture Considering Longitudinal Resolution of Logging Curves and Its ApplicationTaking No. 15 Coal Seam in the Shouyang Block as an Example

作者：Zhang, Shouren^*; Men, Xinyang; Deng, Zhiyu; Hu, Qiuping

来源：ACS Omega, 2023, 8(31): 28702-28714.

DOI：10.1021/acsomega.3c03399

The quantitative identification of the coal texture isof greatimportance as a crucial parameter for coalbed methane (CBM) reservoirevaluation. This study combined drilling core data, electrical imaginglogging data, and four conventional logging data, namely, compensationdensity (DEN), natural & gamma; (GR), deep lateral resistivity (RD),and acoustic time difference (AC), to achieve accurate inversion ofcoal texture in the Shouyang Block. Meanwhile, wavelet analysis andFisher discriminant analysis were introduced to the inversion processto further improve the accuracy. Through the utilization of softwarepackages, such as Matlab and SPSS, the establishment of the coal texturelogging interpretation chart of the No. 15 coal seam in the Shouyangblock was successfully realized. The outcome of this comprehensivestudy reveals that the coal texture logging interpretation chart isan effective tool for the identification and classification of eachcoal texture and gangue. Moreover, the validity and reliability ofthis method were tested and confirmed using wells CS-8 and CS-9 inthe region, achieving an accuracy of 97.1 and 93.2%, respectively.This innovative method has significant prospects for predicting andevaluating the coal texture in the Shouyang Block, which can be furtherapplied to other regions.

• 单位
  中国地质大学（北京）