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Macrolithotype prediction and 3D geological modeling based on logging parameters |
GUO Guangshan, LI Hao, TIAN Yongjing, DU Kai |
Unconventional Research Center, CNOOC Research Institute, Beijing 100028, China |
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Abstract In order to quantitatively distinguish the distribution characteristics of marcolithotypes, the authors in this research utilized the differences of logging response characteristics of different marcolithotypes to establish the marcolithotypes index HMLZ, according to the coal and rock description results of CBM parameter wells. The quantitative identification and verification of marcolithotypes of 30 wells in SZB block are completed through the discrimination index, and the 3D visualization of the spatial distribution characteristics of macrolithotypes are rea-lized using the stochastic modeling method. The results show that the HMLZ > 20.0 is bright coal, and the 10.0<HMLZ < 20.0 is semi bright coal. Besides, 5.5 <HMLZ < 10.0 is semi dark coal and the HMLZ < 5.5 is dull coal. The macrolithotypes of coal seam 3 in the study area are mainly bright coal and semi bright coal, followed by semi dark coal, and the dull coal is not developed. The average thickness of bright coal accounts for 36%, and the average thickness of semi bright coal accounts for 46%, which is mainly distributed in the middle and upper sections of coal seams in the north and south of the block. Semi dark coal is mainly distributed in the middle and lower section of the middle coal seam of the block, accounting for an average of 15%. The dull coal is sporadically developed at the bottom of the coal seam in the southwest corner of the block, with a thin thickness, accounting for 3% of the whole seam. Overall, the model can be used to quantitatively evaluate the distribution law of lithotype and provide strong support for CBM development.
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Received: 12 March 2021
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