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现代地质 ›› 2025, Vol. 39 ›› Issue (03): 839-855.DOI: 10.19657/j.geoscience.1000-8527.2024.013

• 能源地质与工程 • 上一篇    

不同煤阶煤大分子模型构建及对比

张晨1,2,3(), 张松航1,2,3,*(), 唐书恒1,2,3, 张守仁4, 李哲5, 范志辉4   

  1. 1.中国地质大学(北京) 能源学院,北京 100083
    2.海相储层演化与油气富集机理教育部重点实验室,北京 100083
    3.非常规天然气地质评价与开发工程北京市重点实验室,北京 100083
    4.中联煤层气有限责任公司,北京 100016
    5.西部钻探录井工程分公司(地质研究院),新疆 克拉玛依 834099.
  • 出版日期:2025-06-10 发布日期:2025-07-03
  • 通信作者: *张松航,男,教授,博士生导师,1982年出生,主要从事煤与煤层气地质相关方向研究工作。Email:zhangsh@cugb.edu.cn
  • 作者简介:张 晨,女,硕士研究生,1997年出生,主要从事煤层气地质相关方向研究工作。Email:zhangchen@email.cugb.edu.cn
  • 基金资助:
    国家自然科学基金项目(41872178);国家自然科学基金联合基金重点项目(U1910205)

Construction and Comparison of Macromolecular Models of Different Coal Rank Coals

ZHANG Chen1,2,3(), ZHANG Songhang1,2,3,*(), TANG Shuheng1,2,3, ZHANG Shouren4, LI Zhe5, FAN Zhihui4   

  1. 1. School of Energy, China University of Geosciences(Beijing), Beijing 100083, China
    2. MOE Key Lab of Marine Reservoir Evolution and Enrichment Mechanism, Beijing 100083, China
    3. Beijing Key Lab of Unconventional Natural Gas Geological Evaluation and Development Engineering, Beijing 100083, China
    4. China United Coalbed Methane Corp, Ltd., Beijing 100016, China
    5. XDEC Mudlogging Branch Company(Geological Research Institute)in CNPC., Xinjiang Karamay 834099, China
  • Published:2025-06-10 Online:2025-07-03

摘要:

煤大分子模型是研究煤的物理化学性质和高效利用的基础,然而,当前尚缺乏反映不同煤阶煤性质的大分子模型的构建和对比。为此,本研究利用工业分析和元素分析,以及核磁共振碳谱、红外光谱、X射线光电子能谱等测试手段,结合前人数据,构建并搜集了河曲煤、孝义煤、店坪煤、高阳煤、阳泉煤、赵庄煤等横跨褐煤到无烟煤(RO=0.46%~3.21%)的13个不同煤阶煤大分子模型序列。煤大分子结构参数显示,随煤阶升高,芳香结构中芳碳率呈3阶段增加演化趋势;桥周比、桥接芳碳均线性增加,侧支芳碳、氧接芳碳在煤变质第一次跃变点以前快速减少。脂肪结构中脂碳率与芳碳率相反,呈3阶段减小趋势;甲基碳第一次跃变点之前增加最后减小;亚甲基碳呈波动变化与三次煤化跃变对应;氧接脂碳的变化情况规律不明显。含氧官能团含量则随煤阶的升高而减少。范德华能和键伸缩能的降低对分子稳定性起主导作用,氢键能只在低阶煤(褐煤)和中阶煤(长焰煤、气煤)及分子之间起作用。低阶煤(褐煤)和中阶煤(长焰煤到瘦煤)的多分子总能量低于等量单分子的能量,而高阶煤(贫煤和无烟煤)由于π-π作用多分子能量高于等量单分子能量。总体上,文中所建大分子模型序列反映了煤变质规律,揭示了煤分子能量构成。研究成果有望能为进一步的煤大分子模拟工作提供基础煤分子构型。

关键词: 煤, 分子模型, 官能团, 能量构型, 煤阶

Abstract:

The construction of coal macromolecular model is of fundamental significance for studying the physical and chemical properties and efficient utilization of coal. However, there is still a lack of construction and comparison of macromolecular models reflecting the properties of different rank coals. Therefore, this study used industrial analysis and elemental analysis, as well as nuclear magnetic resonance carbon spectroscopy, infrared spectroscopy, X-ray photoelectron spectroscopy and other test methods, combined with previous data, constructed and collected Hequ coal, Xiaoyi coal, Dianping coal, Gaoyang coal, Yangquan coal, Zhaozhuang coal and other 13 different coal rank coal macromolecular model sequences across lignite to anthracite (Ro=0.46%-3.21%). The macromolecular structure parameters of coal show that the aromatic carbon rate in aromatic structure increases in three stages with the increase of coal rank. The bridged aromatic carbon and bridged aromatic carbon increase linearly, and the side-branched aromatic carbon and oxygenated aromatic carbon decrease rapidly before the first jump point of coal metamorphism. The lipid carbon ratio in the fat structure is opposite to the aromatic carbon ratio, showing a three-stage decreasing trend. The methyl carbon increases before the first jump point and finally decreases; The fluctuation of methylene carbon corresponds to the three coalification jumps; the change rule of oxygenated fat carbon is not obvious. The content of oxygen-containing functional groups decreases with the increase of coal rank. The decrease of van der Waals energy and bond stretching energy plays a leading role in molecular stability, and hydrogen bond energy only plays a role in low rank(lignite) and medium coal(long flame coal, gas coal) and between molecules. The total energy of multi-molecules in low and medium rank coal(lignite to lean coal) is lower than that of equivalent single molecules, while the energy of multi-molecules in high-rank coal(lean coal and anthracite) is higher than that of equivalent single molecules due to π-π interaction. In general, the macromolecular model sequence established in this paper reflects the law of coal metamorphism and reveals the energy composition of coal molecules. The research results are expected to provide basic coal molecular configuration for further coal macromolecular simulation work.

Key words: coal, molecular model, functional group, energy configuration, coal rank

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