川渝地区煤的石墨化潜势研究

李靖; 王路; 刘永旺; 栾进华; 张瑞刚; 张森; 王安民

doi:10.12363/issn.1001-1986.21.02.0095

川渝地区煤的石墨化潜势研究

李靖^1,,
王路^1, ,,
刘永旺²,
栾进华²,
张瑞刚²,
张森²,
王安民³

1.
山西能源学院，山西晋中 030600
2.
重庆地质矿产研究院，重庆 400042
3.
中国矿业大学(北京) 地球科学与测绘工程学院，北京 100083

基金项目: 重庆市科研机构绩效激励引导专项项目(cstc2020jxjl90002)；2020年度山西省高等学校科技创新项目(2020L0730)；山西省科技重大专项资助项目(20191102002)

详细信息

作者简介:
李靖，1983年生，女，山西太原人，博士，副教授，从事能源地质方向的研究工作. E-mail： cat03510431@163.com

通讯作者:
王路，1990年生，男，山西长治人，博士，讲师，从事煤系石墨矿产地质与开发利用研究工作. E-mail：wanglucumtb@126.com

中图分类号: P618.11；P619.25⁺2
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出版历程
- 收稿日期: 2021-02-19
- 修回日期: 2021-10-13
- 网络出版日期: 2022-01-27
- 发布日期: 2022-01-31

Research on the graphitization potential of coal in Sichuan and Chongqing

1.
Shanxi Institute of Energy, Jinzhong 030600, China
2.
Chongqing Institute of Geology and Mineral Resources, Chongqing 400042, China
3.
School of Geosciences and Surveying Engineering, China University of Mining and Technology(Beijing), Beijing 100083, China

摘要

摘要: 煤及煤系石墨化利用对于增强石墨矿产的战略保障能力、促进煤系矿产资源高效利用和推动煤炭企业转型升级等均具有重要意义。在能源矿产改革转型的关键时期，为了厘清川渝地区煤的石墨化潜势，在梳理分析煤的石墨化、煤基碳材料前驱体选择和川渝地区煤田地质概况的基础上，通过对川渝地区主要赋存煤类、煤质和显微组分特征的分析，从影响煤石墨化的内在因素和煤基碳材料的需求出发，采用主成分分析法探讨了川渝地区煤基碳材料前景和煤系石墨资源赋存潜力。结果表明：研究区煤的显微组分以镜质组为主，低灰、低硫，演化程度更高的无烟煤更易于石墨化，煤石墨化后的产物则是制备碳材料的极佳前驱体；根据主成分分析的定量评价结果，可将川渝地区煤系石墨资源潜力区带划分为Ⅰ级优势区、Ⅱ级良好区和Ⅲ级潜力区。四川雅安−攀西Ⅰ级区带三叠系上统须家河组煤具有变质程度高、低灰、低硫特征，龙门山构造岩浆带是煤石墨化的外在条件，是煤系石墨矿产资源优势赋存区和制备煤基碳材料的优选资源；渝东北Ⅱ级区带和渝东南Ⅱ级区带具有构造条件复杂、煤演化程度高的特点，为煤系石墨资源赋存良好区；南桐松藻Ⅲ级区带和四川芙蓉−古叙Ⅲ级区带则为煤系石墨资源的潜力区。煤系石墨的潜力研究是能源矿产由粗放型利用向高端新型材料精细化应用转变的重要桥梁，为实现煤炭资源高价值、绿色开发利用提供了指导方向。
- 煤系石墨 /
- 煤系矿产 /
- 石墨化 /
- 主成分分析
Abstract: The graphitization of coal is beneficial to enhancing the strategic guarantee ability of graphite resources and promoting the efficient utilization of coal measures mineral resources and transformation and upgrading of coal enterprises. The development potential of coal-based graphite resources in Sichuan and Chongqing is evaluated in the critical period of energy and mineral reform and transformation. On the basis of the analysis of coal graphitization, the precursors for coal-based carbon materials and coalfield geology, the major coal types, coal quality and characteristics of macerals, Principal Component Analysis(PCA) is applied to explore the development potential of coal-based graphite in Sichuan and Chongqing in view of internal factors and the requirement of carbon materials. The results show that the microscopic composition of the coal in the study area is mainly vitrinite with low ash and low sulfur, the highly metamorphic anthracite is easier to graphitize, and the product is an excellent precursor for preparing carbon materials. According to the quantitative evaluation results of PCA, the potential zones for preparing coal-based carbon materials can be divided into the superior areas(Ⅰ), good areas(Ⅱ) and potential areas(Ⅲ). The coal of Upper Triassic Xujiahe Formation in Ya’an-Panxi areas(I), Sichuan Province, is characterized by the high metamorphism, low ash and low sulfur. The Longmenshan tectonic-magmatic belt is the external factor for coal graphitization, which is the potential area for coal-based graphite sources and preferred resources for coal-based carbon materials. The northeastern and southeastern Chongqing areas(Ⅱ) are characterized by complex tectonic conditions and highly metamorphic coal, which are good areas for the accumulation of coal-based graphite. Songzao Coal Mine(Ⅲ) in Nantong Coalfield and Furong-Guxu mines(Ⅲ) in Sichuan Province, are all potential areas for coal-based graphite. Research on the potential of coal-based graphite is an important bridge for the transition from extensive utilization of energy and minerals to refined application of high-end new materials, providing guidance for the realization of high-value, green development and utilization of coal-resources.
- coal-based graphite /
- mineral resources in coal measures /
- graphitization /
- principal component analysis

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图 1 川渝地区无烟煤分布(蓝色部分为无烟煤分布区)

Fig. 1 Distribution of anthracite(blue color) in Sichuan and Chongqing

下载: 全尺寸图片幻灯片

图 2 川渝地区煤基碳材料潜力区带划分

Fig. 2 Potential areas division of coal-based carbon materials in Sichuan and Chongqing

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表 1 煤系石墨鉴别指标体系^[14]

Table 1 Identification indexes of coal-based graphite^[14]

类型		基础指标		精确指标
类型		$\omega $(V_daf)/%	R_max/%	d₀₀₂/nm	g	G峰位/cm⁻¹	R²
煤系石墨	石墨	<4.0	>6.5	<0.338	>0.7	<1 585	<0.50
煤系石墨	半石墨	<4.0	>6.5	0.338~0.344	>0~0.7	1 585~1 595	0.50~0.60
煤		>2.0	<7.0	>0.344	≤0	>1 595	>0.60

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表 2 川渝地区煤基碳材料前驱体评价参数

Table 2 Evaluation indexes of precursors for coal-based graphite in Sichuan and Chongqing

地区	地层	矿区	R_max/%	灰分/%	硫/%	镜质组/%	惰质组/%	固定碳/%
重庆	P₃l	南桐松藻	2.32	25.02	4.80	83.0	6.8	81.45
		渝东北	2.26	11.70	8.67	78.2	10.1	86.47
		渝东南	2.19	17.20	6.44	80.3	6.7	83.31
		华蓥山	1.45	22.13	4.38	70.8	16.9	88.44
		永荣	1.23	24.98	5.84	75.2	9.2	85.41
		渝东	1.88	28.15	4.29	72.3	5.8	72.96
四川	P₃l	筠连	2.82	22.25	2.71	58.7	23.8	86.54
		芙蓉	2.54	23.31	3.45	81.4	6.3	87.01
		古叙	2.66	26.83	0.87	76.5	13.8	85.72
		华蓥山	1.58	26.23	4.17	69.5	23.8	83.05
四川	T₃xj	隆泸	1.24	27.9	2.51	61.4	23.3	81.66
		达竹	1.18	19.45	0.69	58.9	27.8	79.64
		广旺	1.31	24.33	1.68	75.8	11.5	73.15
		资威	1.16	22.76	1.35	52.8	24.2	72.32
		雅荥	1.60	28.95	0.59	78.1	10.2	85.98
		宝鼎	1.75	24.2	0.44	68.5	28.1	88.19
		红坭	1.22	21.62	0.53	71.2	15.1	83.84
		盐源	1.69	25.44	1.02	80.2	11.2	82.05
		川中	1.37	21.67	1.26	58.5	22.9	82.36
		天全	5.35	19.32	0.66	80.1	17.3	89.62

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表 3 参数值的特征值和方差贡献率

Table 3 Latent roots and variance contributes of evaluation indexes

主成分	初始特征值及方差贡献率
主成分	特征值	方差贡献率%	累积%
1	2.479	41.311	41.311
2	1.386	23.097	64.409
3	1.046	17.428	81.837

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表 4 主成分载荷值

Table 4 Component matrix

评价参数	主成分
评价参数	1	2	3
反射率	0.207	0.461	0.269
固定碳含量	0.186	0.519	−0.136
灰分含量	−0.204	−0.070	0.704
镜质组含量	0.361	−0.050	0.292
惰质组含量	−0.310	0.355	−0.344
硫分含量	0.241	−0.325	−0.408

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表 5 主成分分析法评价结果

Table 5 Optimization results of favorable areas by principal component analysis

地区	地层	矿区	FAC1_1	FAC2_1	FAC3_1	FAC	综合得分排序
重庆	P₃l	南桐松藻	1.03	−0.73	0.65	21.55	5
		渝东北	1.80	−0.42	−2.32	23.45	2
		渝东南	1.44	−0.71	−0.89	22.72	3
		华蓥山	0.27	0.20	−0.95	20.66	10
		永荣	0.63	−0.84	−0.31	20.89	8
		渝东	0.06	−1.77	0.97	18.21	14
四川	P₃l	筠连	−0.84	1.14	0.46	17.08	17
		芙蓉	0.88	0.04	1.51	21.96	4
		古叙	0.24	0.75	1.03	20.92	7
		华蓥山	−0.42	0.01	−0.53	17.92	15
	T₃xj	隆泸	−1.08	−0.06	−0.30	16.60	19
		达竹	−1.29	0.29	−1.40	16.69	18
		广旺	−0.26	−1.36	0.59	18.43	13
		资威	−2.09	−0.86	0.35	13.07	20
		雅荥	0.11	0.10	1.29	20.99	6
		宝鼎	−0.71	1.37	−0.47	18.92	12
		红坭	−0.23	0.07	−0.21	20.19	11
		盐源	0.22	−0.24	0.88	20.79	9
		川中	−1.00	0.32	−1.00	17.55	16
		天全	1.24	2.71	0.64	23.60	1

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