LIU Jing, CHANG Suoliang, LIU Zuiliang, ZHANG Sheng, CHEN Qiang, LIU Bo. Beneficial CBM area prediction based on structural elemental quantitative cluster classification[J]. COAL GEOLOGY & EXPLORATION, 2021, 49(2): 216-224,233. DOI: 10.3969/j.issn.1001-1986.2021.02.027
Citation: LIU Jing, CHANG Suoliang, LIU Zuiliang, ZHANG Sheng, CHEN Qiang, LIU Bo. Beneficial CBM area prediction based on structural elemental quantitative cluster classification[J]. COAL GEOLOGY & EXPLORATION, 2021, 49(2): 216-224,233. DOI: 10.3969/j.issn.1001-1986.2021.02.027

Beneficial CBM area prediction based on structural elemental quantitative cluster classification

  • In order to select optimally the CBM-enriched area of structural elements and delicately divide the advantageous blocks of CBM structural control under the development scale, this paper takes the Yongle south block in the southwest of Qinshui Basin as an example, subdivides the structural characterization elements and quantifies the indicators of structural elements, and puts forward the method of trend surface iteration to characterize different degrees of structural deformation, fuzzy clustering classification and element dichotomy to optimize the favorable area of CBM structural control. Based on the comprehensive interpretation results of seismic geology, the quantitative characterization of structural elements of No.2 and No.(9+10) coal seams in the study area is carried out from three aspects of structural deformation, fault system and burial depth. The quantitative classification of structural elements is carried out by Q-type clustering method. On this basis, the single element is divided by using factor dichotomy method under the guidance of the structural geological law affecting the enrichment and preservation of coalbed methane. The favorable and disadvantageous areas for gas control are finally synthesized into four types: the most favorable, the more favorable, the more disadvantageous and the disadvantageous under the influence of CBM enrichment structure, which are verified by the gas content data of coal drilling holes.
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