国家冰川冻土沙漠科学数据中心

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名称	Thermal maturation as revealed by micro-Raman spectroscopy of mineral-organic aggregation (MOA) in marine shales with high and over maturities（高-过成熟海相页岩中矿物-有机质复合体 [MOA)的显微激光拉曼光谱特征作为成熟度指标的意义）
科技资源标识	CSTR:11738.14.NCDC.XDA14.PP5698.2024
DOI	10.1007/s11430-020-9627-2
数据共享方式	开放下载
摘要	Laser Raman spectroscopy of organic matter in coals and sedimentary rocks has been increasingly investigated to assess thermal maturity. Pure organic matter such as vitrinite and solid bitumen, as well as isolated kerogen are definitely selected for this purpose, but there has been no systematic report on the Raman spectral parameters directly based on mineral-organic aggregations (MOA) in shales. In this paper, the Raman spectral characteristics and parameters of MOA in two sets of marine shale samples from southern China with either different TOC contents (TOC=0.10–4.59%) or different maturities (BRo=1.71– 4.57%) were investigated. It was found that the Raman technique is very sensitive to the organic matter in MOA. As the TOC content of the shales reaches about 0.60%, perfect Raman spectra with D and G bands derived from organic matter in MOA were obtained, and the Raman parameters of MOA are in good agreement with those of its associated solid bitumen, and can indicate the thermal maturity just like those of solid bitumen. Using the Raman parameters of MOA is a potential alternative way to estimate maturity levels of high and over mature shales, especially those lower Paleozoic and Precambrian shales that lack macerals suitable for reflectance or Raman measurements.
学科分类	170.50
关键词	Marine shale Mineral-organic aggregation (MOA) Solid bitumen Raman parameter Maturity
作者	Xiao Xianming
数据量	5.0 MiB
论文类型：	journal
论文网址：	https://doi.org/10.1007/s11430-020-9627-2
期刊名称：	Science China Earth Sciences
出版时间：	2020-09-01

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数据引用

Xiao Xianming. Thermal maturation as revealed by micro-Raman spectroscopy of mineral-organic aggregation (MOA) in marine shales with high and over maturities（高-过成熟海相页岩中矿物-有机质复合体 [MOA)的显微激光拉曼光谱特征作为成熟度指标的意义）. 国家冰川冻土沙漠科学数据中心(http://www.ncdc.ac.cn), 2024. https://cstr.cn/CSTR:11738.14.NCDC.XDA14.PP5698.2024.

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本作品采用知识共享署名 4.0 国际许可协议进行许可。

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项目信息详情

项目名称：深层油气形成与分布预测
项目编号：XDA14010000
项目类别：中国科学院战略性先导科技专项（A类）