Geological modeling of coalbed methane reservoirs in the tectonically deformed coal seam group in the Dahebian block, western Guizhou, China

Abstract

The widely spread Carboniferous-Permian coal seam group in southern China has great potential for coalbed methane resources, but the extensively developed tectonically deformed coal seriously restricts its development. Taking the Dahebian block in western Guizhou as the study area, the geological model of coalbed methane reservoirs in the tectonically deformed coal seam group was established, and the spatial distribution pattern of model parameters was clarified by clustering algorithms and factor analysis. The facies model suggests that the main coal body structures in Nos. 1, 4, and 7 coal seams are cataclastic coal and granulated coal, whereas the No. 11 coal seam is dominated by granulated coal, which has larger thicknesses and spreads more continuously. The in situ permeability of primary undeformed coal, cataclastic coal, granulated coal, and mylonitized coal reservoirs are 0.333 mD, 0.931 mD, 0.146 mD, and 0.099 mD, respectively, according to the production performance analysis method. The property model constructed by facies-controlled modeling reveals that Nos. 1, 4, and 7 coal seams have a wider high-permeability area, but the gas content is lower; the high-permeability area in the No. 11 coal seam is more limited, but the gas content is higher. The results of the self-organizing map neural network and K-means clustering indicate that the geological model can be divided into 6 clusters, the model parameter characteristics of the 6 clusters are summarized by data analysis in combination with 6 factors extracted by factor analysis, and the application of data analysis results in multi-layer coalbed methane co-development is presented. This study provides ideas for the geological modeling in the tectonically deformed coal seam group and its data analysis.

Graphical abstract

Keywords

geological modeling / tectonically deformed coal / coal seam group / clustering algorithm / Dahebian block, western Guizhou

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Acknowledgments

This work was financially supported by the National Natural Science Foundation of China (Grant No. 41727801), the Geological Exploration Foundation of Guizhou Province (No. 208-9912-JBN-UTSO), and the Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD).

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