Identification of tar-rich coal based on the true density and natural gamma ray response of coals

被引:0
|
作者
Shi, Qingmin [1 ,2 ]
Geng, Xuhu [1 ,2 ]
Wang, Shuangming [1 ,2 ]
Cai, Yue [1 ,2 ]
Han, Bo [3 ]
Wang, Shengquan [1 ,2 ]
Zhang, Zhehao [3 ]
He, Yufei [3 ]
机构
[1] Shaanxi Provincial Key Laboratory of Geological Support for Coal Green Exploitation, Xi'an University of Science and Technology, Xi'an,710054, China
[2] College of Geology and Environment, Xi'an University of Science and Technology, Xi'an,710054, China
[3] China Petroleum Logging Co. Ltd., Xi'an,710054, China
关键词
Alumina - Aluminum oxide - Coal tar - Gamma rays - Geophysics - Parameter estimation - Pyrolysis - Silica;
D O I
10.12363/issn.1001-1986.23.08.0471
中图分类号
学科分类号
摘要
[Objective] Tar yield, derived from the Gray-King assay, serves as the sole metric for evaluating tar-rich coal. However, insufficient exploration data hinder its effective application in the fine-scale evaluation of extensive tar-rich coal. [Methods] Based on binary classification, this study proposed the optimal thresholds for tar-rich coal identification using true density (ft) and natural gamma-ray (GR) log. Moreover, this study elucidated the intrinsic mechanisms behind the significant petrophysical parameter responses of tar-rich coal. [Results and Conclusions] Key findings are as follows: (1) Coals with various metamorphic grades differ in identification threshold. For instance, long-flame tar-rich coal, the optimal identification thresholds consist of raw coal's true density of 3 and GR responses daf) corresponds to richer aliphatic structures in coals, creating more favorable pyrolysis conditions for tar production. Conversely, a higher true density corresponds to higher aromatic structure content, which is more unfavorable for tar production through pyrolysis. Overall, the coupling effects of multiple factors contribute to a strongly negative correlation between the true density and tar yield of coals. These findings can serve as a theoretical guide for evaluating tar-rich coal based on geophysical log parameters. © 2024 Science Press. All rights reserved.
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页码:85 / 96
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