陕西省富油煤分布及受控地质因素

杨甫; 段中会; 马丽; 付德亮; 田涛; 贺丹; 岳明娟

doi:10.13199/j.cnki.cst.2021-0531

陕西省富油煤分布及受控地质因素

杨甫^{1, 2,},
段中会^{1, 2},
马丽^{1, 2},
付德亮^{1, 2},
田涛^{1, 2},
贺丹^{1, 2},
岳明娟³

1.
自然资源部煤炭资源勘查与综合利用重点实验室, 陕西西安　710021
2.
陕西省煤田地质集团有限公司, 陕西西安　710021
3.
陕西省煤田地质化验测试有限公司, 陕西西安　710054

基金项目:

陕西省富油煤地下原位转化制氢与综合利用“科学家+工程师”队伍资助项目（2022KXJ-126）；陕西省自然科学基础研究计划资助项目（2022KJXX-24）

详细信息

作者简介:
杨甫: （1986—），男，陕西西安人，高级工程师，博士。E-mail: yangpu666@163.com

中图分类号: P618.11
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- 文章访问数: 280
- HTML全文浏览量: 53
- PDF下载量: 96
出版历程
- 收稿日期: 2022-04-30
- 网络出版日期: 2023-04-26
- 刊出日期: 2023-03-14

Distribution and controlled geological factors of oil-rich coal in shaanxi province

YANG Fu^{1, 2,},
DUAN Zhonghui^{1, 2},
MA Li^{1, 2},
FU Deliang^{1, 2},
TIAN Tao^{1, 2},
HE Dan^{1, 2},
YUE Mingjuan³

1.
Key Laboratory of Coal Resources Exploration and Comprehensive Utilization，Ministry of Natural Resources, Xi’an 710021, China
2.
Shaanxi Coal Geology Group Co., Ltd., Xi’an 710021, China
3.
Shaanxi Coal Geological Laboratory Co., Ltd., Xi’an 710054, China

Funds:

Scientist + Engineer Team Project for In-situ Hydrogen Production and Comprehensive Utilization of oil-rich Coal in Shaanxi Province (2022KXJ-126); Natural Science Basic Research Project of Shaanxi Province (2022KJXX-24)

摘要

摘要:
煤的绿色清洁高效利用是煤炭工业可持续发展的重要途径。陕西省煤炭资源丰富，主要含煤区分布于陕西北部的五大煤田，富油煤资源更是位居全国首位。通过收集以往地质勘探资料和针对性采集陕北榆神矿区某煤矿煤心进行化验测试分析，探讨陕西省富油煤分布特征及影响煤焦油产率的地质因素。结果显示，陕西省富油煤以陕北侏罗系煤田为最优，焦油产率分布于7.6%～15.3%；物质组成、生油潜力、热演化程度及成煤环境控制着煤的焦油产率的大小和分布。基质镜质体、挥发分产率、H元素含量及H/C原子比等与煤的焦油产率呈正相关关系，相关系数较高，岩石热解参数中烃指数与焦油产率的相关性高，可作为快速判别煤焦油产率的指标；煤焦油产率随着热演化程度的增加呈现先增加后减少的趋势，且在R_o约0.9%时，达到最大值；沉积环境水体微流动、强还原、浅覆水−微流动的泥炭沼泽相的煤焦油产率值越高。研究结果为富油煤的地质预测提供借鉴。
- 富油煤 /
- 煤焦油 /
- 陕北侏罗系煤田 /
- 沉积环境 /
- 地质预测
Abstract:
The green, clean and efficient utilization of coal is an important way for the sustainable development of coal industry. Shaanxi province is rich in coal resources, which are mainly distributed in the five coal fields in the north of Shaanxi province, and the oil-rich coal resources rank first in China. In this paper, the distribution characteristics of oil-rich coal in Shaanxi Province and the geological factors affecting the tar yield of coal are discussed by collecting the previous geological exploration data and the coal core of a coal mine in Yushen mining area of northern Shaanxi Province. The results show that the Jurassic coal field in northern Shaanxi is the best oil-rich coal in Shaanxi Province, and the tar yield is distributed in the range of 7.6%-15.3%. Material composition, oil generation potential, thermal evolution degree and coal-forming environment control the size and distribution of tar yield in coal. The desmocollinite content, volatile matter content, H element content and H/C atomic ratio were positively correlated with the tar yield of coal, and the correlation coefficient was high. There is a high correlation between the hydrocarbon index and tar yield in rock pyrolysis parameters, which can be used as an index to quickly identify tar yield in coal. The tar yield of coal increases first and then decreases with the increase of thermal evolution degree, and reaches the maximum value whenR_o is about 0.9%. The higher the coal tar yield value is in the peat swamp facies with micro-flow, strong reduction and shallow overlying water-micro-flow in sedimentary environment. The research results provide reference for geological prediction of oil-rich coal.
- Oil-rich coal /
- coal tar /
- Shanbei jurassic coalfield /
- sedimentary environment /
- geological prediction

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图 1 鄂尔多斯盆地构造区划及陕西煤田分布示意

Figure 1. Tectonic division of Ordos Basin and coal field distribution in Shaanxi Province

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图 2 陕西五大煤田煤中焦油产率分布

Figure 2. Distribution of coal tar yield in five coalfields in Shaanxi

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图 3 富油煤中不同显微组分照片

Figure 3. Photographs of different macerals in oil-rich coal

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图 4 煤中显微组分与焦油产率相关关系

Figure 4. Correlation between macerals in coal and tar yield

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图 5 挥发分与焦油产率相关关系

Figure 5. Correlation between volatile content and tar yield

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图 6 元素含量与焦油产率相关关系

Figure 6. Correlation between element content and tar yield

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图 7 热解参数与焦油产率相关关系

Figure 7. Correlation between pyrolysis parameters and tar yield

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图 8 岩石热解TOC和S₂关系

Figure 8. Plot of rock-eval TOC versus S₂

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图 9 岩石热解和产率指数关系

Figure 9. Plot of Production Index (PI) versus T_max

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图 10 镜质组反射率和焦油产率关系

Figure 10. Relation between vitrinite reflectance (R_o) and tar yield

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图 11 榆神矿区某煤矿主采2^-2煤综合柱状示意

Figure 11. Comprehensive 2^-2 coal column diagram of the main mining of a coal mine in Yushen Mining Area

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