Coal Geology & Exploration
Abstract
Objective China, representing the world's largest consumer of lithium resources, suffers from a limited endowment of conventional lithium resources, rendering it inevitable for China to seek to develop and utilize abundant coal-hosted lithium resources. Through a comparative analysis of coal samples from the lithium-rich No. 8 and the ordinary No. 15 coal seams in the Taiyuan Formation, Yangquan mining area, Shanxi Province, this study explored the statistical relationships between the lithium and kaolinite contents and geophysical responses. Accordingly, the feasibility of the indirect detection of coal-hosted lithium resources using geophysical methods was assessed. Methods First, by testing the lithium content and mineral components (e.g., kaolinite) of the coal samples, the fitted relationship between lithium and kaolinite contents was established. Subsequently, the geophysical parameters of the coal samples were systematically investigated, including density, as well as acoustic, electrical, and magnetic parameters. Using principal component analysis (PCA) and correlation analysis, the statistical relationships of the lithium and kaolinite contents with geophysical responses were explored thoroughly. Finally, the optimal sensitive parameters for distinguishing lithium-rich coals from ordinary ones were determined based on the comparison of the statistical parameters of various geophysical responses. Results and Conclusions The Nos. 8 and 15 coal seams differ significantly in the distribution of test data. This occurs primarily due to their variations in mineral components, as well as their contents. For the No. 8 coal seam, there exists a strong linear positive correlation between the lithium and kaolinite contents, aligning with the existing understanding that kaolinites serve as the dominant carrier mineral of lithium resources in this coal seam. Results from histogram analysis, trend analysis, and PCA jointly reveal the presence of progressive relationships among the lithium content, kaolinite content, and geophysical responses in the No. 8 coal seam. Specifically, there are strong positive correlations between the lithium and kaolinite contents and between the kaolinite content and sensitive geophysical responses. Among the statistical parameters of geophysical responses, the range (Max-Min), the deviation between the local maximum and median (Max-Med), and the deviation between the median and local minimum (Med-Min) are identified as sensitive parameters, which allow lithium-rich coals to be effectively distinguished from ordinary coals. Overall, there exist progressive statistical relationships among the lithium content, kaolinite content, and geophysical responses of the No. 8 coal seam in the Yangquan mining area. This finding underscores the potential of geophysical methods for indirectly exploring lithium resources in the No. 8 coal seam.
Keywords
coal, lithium, critical metal, geophysical response, statistical relationship, Qinshui Basin
DOI
10.12363/issn.1001-1986.25.10.0805
Recommended Citation
CHEN Tongjun, XU Haicheng, LI Wan,
et al.
(2026)
"Geophysical responses and their statistical relationships with lithium and kaolinite contents for lithium-rich coals in the Yangquan mining area,"
Coal Geology & Exploration: Vol. 54:
Iss.
5, Article 21.
DOI: 10.12363/issn.1001-1986.25.10.0805
Available at:
https://cge.researchcommons.org/journal/vol54/iss5/21
Reference
[1] 张生辉,王振涛,李永胜,等. 中国关键矿产清单、应用与全球格局[J]. 矿产保护与利用,2022,42(5):138−168
ZHANG Shenghui,WANG Zhentao,LI Yongsheng,et al. List,application and global pattern of critical minerals of China[J]. Conservation and Utilization of Mineral Resources,2022,42(5):138−168
[2] 翟明国,吴福元,胡瑞忠,等. 战略性关键金属矿产资源:现状与问题[J]. 中国科学基金,2019,33(2):106−111
ZHAI Mingguo,WU Fuyuan,HU Ruizhong,et al. Critical metal mineral resources:Current research status and scientific issues[J]. Bulletin of National Natural Science Foundation of China,2019,33(2):106−111
[3] TABELIN C B,DALLAS J,CASANOVA S,et al. Towards a low–carbon society:A review of lithium resource availability,challenges and innovations in mining,extraction and recycling,and future perspectives[J]. Minerals Engineering,2021,163:106743.
[4] 吴西顺,王登红,杨添天,等. 碳中和目标下的锂矿产业创新及颠覆性技术[J]. 矿产综合利用,2022,43(2):1−8
WU Xishun,WANG Denghong,YANG Tiantian,et al. Lithium mining industry innovation and disruptive technology under the goal of carbon neutrality[J]. Multipurpose Utilization of Mineral Resources,2022,43(2):1−8
[5] 邢凯,朱清,任军平,等. 全球锂资源特征及市场发展态势分析[J]. 地质通报,2023,42(8):1402−1421
XING Kai,ZHU Qing,REN Junping,et al. Research on the characteristics and market development trend of global lithium resources[J]. Geological Bulletin of China,2023,42(8):1402−1421
[6] USGS. Mineral commodity summaries 2024[R]. U. S. Geological Survey,2024.
[7] 代鸿章,王登红,刘善宝,等. 国外锂矿找矿新进展(2019—2021年)及对我国战略性矿产勘查的启示[J]. 地质学报,2023,97(2):583−595
DAI Hongzhang,WANG Denghong,LIU Shanbao,et al. New progress in lithium prospecting abroad (2019–2021) and its significance to China’s strategic mining resources exploration[J]. Acta Geologica Sinica,2023,97(2):583−595
[8] 周园园. 中国锂资源供需形势及对外依存度分析[J]. 资源与产业,2019,21(3):46−50
ZHOU Yuanyuan. Supply–demand situation and external dependence of China’s lithium resource[J]. Resources & Industries,2019,21(3):46−50
[9] 中华人民共和国自然资源部. 中国矿产资源报告(2023)[R]. 北京:地质出版社,2023.
[10] 代世峰,赵蕾,魏强,等. 中国煤系中关键金属资源:富集类型与分布[J]. 科学通报,2020,65(33):3715−3729
DAI Shifeng,ZHAO Lei,WEI Qiang,et al. Resources of critical metals in coal–bearing sequences in China:Enrichment types and distribution[J]. Chinese Science Bulletin,2020,65(33):3715−3729
[11] DAI Shifeng,LI Dan,CHOU Chenlin,et al. Mineralogy and geochemistry of boehmite–rich coals:New insights from the Haerwusu surface mine,Jungar coalfield,Inner Mongolia,China[J]. International Journal of Coal Geology,2008,74(3/4):185−202.
[12] SUN Beilei,ZENG Fangui,MOORE T A,et al. Geochemistry of two high–lithium content coal seams,Shanxi Province,China[J]. International Journal of Coal Geology,2022,260:104059.
[13] SUN Yuzhuang,LI Yanheng,ZHAO Cunliang,et al. Concentrations of lithium in Chinese coals[J]. Energy Exploration & Exploitation,2010,28(2):97−104.
[14] 代世峰,刘池洋,赵蕾,等. 煤系中战略性金属矿产资源:意义和挑战[J]. 煤炭学报,2022,47(5):1743−1749
DAI Shifeng,LIU Chiyang,ZHAO Lei,et al. Strategic metal resources in coal–bearing strata:Significance and challenges[J]. Journal of China Coal Society,2022,47(5):1743−1749
[15] 代世峰,赵蕾,王宁,等. 煤系中关键金属元素的成矿作用研究进展与展望[J]. 矿物岩石地球化学通报,2024,43(1):49−63
DAI Shifeng,ZHAO Lei,WANG Ning,et al. Advance and prospect of researches on the mineralization of critical elements in coal–bearing sequences[J]. Bulletin of Mineralogy,Petrology and Geochemistry,2024,43(1):49−63
[16] 张俊爽,孙蓓蕾,张彬,等. 准格尔6号煤中锂选择性吸附的分子模拟研究[J]. 煤田地质与勘探,2025,53(9):88−98
ZHANG Junshuang,SUN Beilei,ZHANG Bin,et al. Molecular simulations of selective adsorption of lithium in the No. 6 coal seam,Junggar coalfield[J]. Coal Geology & Exploration,2025,53(9):88−98
[17] 李海涛. 黏土矿物微观结构及其弹性性质的第一性原理研究[D]. 太原:太原理工大学,2016.
LI Haitao. First–principles study on microstructures and elastic properties of clay minerals[D]. Taiyuan:Taiyuan University of Technology,2016.
[18] FU Jiannan,CHEN Tongjun,CUI Fan. Zonal geochemistry and elasticity characteristics of gallium– and lithium–rich No. 6 coalbed in the Haerwusu mine,North China[J]. Minerals,2024,14(4):404.
[19] 陈同俊,尹海洋,王海波,等. 浅埋巨厚富镓煤层的非均质性与反射波响应特征[J]. 地质学报,2024,98(8):2509−2516
CHEN Tongjun,YIN Haiyang,WANG Haibo,et al. Heterogeneity and reflected wave characteristics of shallowly buried ultra–thick gallium–rich coal seams[J]. Acta Geologica Sinica,2024,98(8):2509−2516
[20] HOU Haihai,SHAO Longyi,WANG Shuai,et al. Influence of depositional environment on coalbed methane accumulation in the Carboniferous–Permian coal of the Qinshui Basin,Northern China[J]. Frontiers of Earth Science,2019,13(3):535−550.
[21] LIU Zuiliang,WANG Ji,CHEN Tongjun,et al. Seismic time–lapse monitoring of gas drainage in an underground coal working face[J]. International Journal of Coal Geology,2021,237:103712.
[22] CHEN Tongjun,MUKERJI T,DOU Linming. A correlation radius estimate between in–panel faults and high–stress areas using Monte Carlo simulation and point process statistics[J]. International Journal of Coal Geology,2017,175:51−62.
[23] 王志学,王权,毕真. 沁水煤田煤层对比[J]. 西部探矿工程,2015,27(11):104−107
[24] DAI Shifeng,REN Deyi,CHOU Chenlin,et al. Geochemistry of trace elements in Chinese coals:A review of abundances,genetic types,impacts on human health,and industrial utilization[J]. International Journal of Coal Geology,2012,94:3−21.
[25] 于春兰. 山西省阳泉矿区晚古生代煤中关键金属富集特征研究[D]. 北京:中国地质大学(北京),2023.
YU Chunlan. Study on critical metal enrichment characteristics of Late Paleozoic coal in Yangquan mining area,Shanxi Province[D]. Beijing:China University of Geosciences (Beijing),2023.
[26] 唐军. 山西省重点煤矿区煤层气开发单元划分:以晋城和阳泉矿区为例[D]. 徐州:中国矿业大学,2018.
TANG Jun. The division of CBM development unit of key coal mining area in Shanxi Province:Take Jincheng and Yangquan mining area as examples[D]. Xuzhou:China University of Mining and Technology,2018.
[27] ASTM International. Standard classification of coals by rank:ASTM D388–12[S]. West Conshohocken:ASTM International,2012.
[28] ASTM International. Standard practice for collection of channel samples of coal in a mine:ASTM D4596–09[S]. West Conshohocken:ASTM International,2015.
[29] HOU Yongjie,DAI Shifeng,NECHAEV V P,et al. Mineral matter in the Pennsylvanian coal from the Yangquan mining district,northeastern Qinshui Basin,China:Enrichment of critical elements and a Se–Mo–Pb–Hg assemblage[J]. International Journal of Coal Geology,2023,266:104178.
[30] 孙蓓蕾,孔艳磊,王国权,等. 高锂无烟煤中不同赋存态锂同位素组成趋同特征及其机理[J]. 煤炭学报,2022,47(5):1773−1781
SUN Beilei,KONG Yanlei,WANG Guoquan,et al. Convergence and its mechanism of lithium isotopic composition with different occurrence states in Li–rich anthracite[J]. Journal of China Coal Society,2022,47(5):1773−1781
[31] MORCOTE A,MAVKO G,PRASAD M. Dynamic elastic properties of coal[J]. Geophysics,2010,75(6):E227−E234.
[32] KETRIS M P,YUDOVICH Y E. Estimations of Clarkes for Carbonaceous biolithes:World averages for trace element contents in black shales and coals[J]. International Journal of Coal Geology,2009,78(2):135−148.
Included in
Earth Sciences Commons, Mining Engineering Commons, Oil, Gas, and Energy Commons, Sustainability Commons