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试论适合叠合盆地的油源对比方法
引用本文:常象春,王明镇,韩作振. 试论适合叠合盆地的油源对比方法[J]. 地球科学与环境学报, 2004, 26(4): 32-36
作者姓名:常象春  王明镇  韩作振
作者单位:山东科技大学,地球信息科学与工程学院,山东,泰安,271019
基金项目:国家重点基础研究发展规划(973)项目(2003CD214608),中国地质调查局地质调查项目(20011300007101)
摘    要:应用谱图形态、碳同位素分布、生标参数和多元统计法,对叠合盆地的油源对比研究进行了分析对比,发现谱图直接对比,虽简单明了,但叠合盆地的成藏特征会使得一些不具成因联系的样品具相似谱图,或有成因联系的样品谱图差别却较大;碳同位素分布亦较直观,但分馏效应使得判别时偏离值不易把握;生标参数虽具成因意义,但受多因素影响;生标参数组合能同时全面反映各控制因素;分段成熟度可以有效地判识混源油;多元统计法既能处理大量样品又能清楚界定相关性。结果表明,多因素生标参数组合、分段成熟度和多元统计法是适合于叠合盆地油源对比的有效方法。

关 键 词:成因联系 叠合盆地 碳同位素 油源对比 成藏特征 判识 控制因素 混源油 分馏效应 多因素
文章编号:1672-6561(2004)04-0032-05
修稿时间:2004-01-30

Discussion on methods of oil-source correlations suitable for composite basins
CHANG Xiang-chun,WANG Ming-zhen,HAN Zuo-zhen. Discussion on methods of oil-source correlations suitable for composite basins[J]. Journal of Earth Sciences and Environment, 2004, 26(4): 32-36
Authors:CHANG Xiang-chun  WANG Ming-zhen  HAN Zuo-zhen
Abstract:This paper correlates the oils and source rocks in composite basins through the gas chromatogram, stable carbon isotope, biomarker parameters and multi-variant statistical analysis. The use of chromatograms is simple and distinct, but sometimes non genesis-related samples may show similar patterns while genesis-related samples may demonstrate different patterns of chromatograms, which caused by the characteristics of pool-forming in composite basins. The use of carbon isotope is intuitionistic with indefinite departure induced by fractionation. Biomarkers are of genetic characteristics influenced by multiple factors. Assemblage of biomarker parameters is the embodiment of controlling factors simultaneously and thoroughly. Maturities of subsection are available for identifying mixed-source oils. Multi-variant statistical analysis can both deal with large numbers of samples and determine their relativity. The results indicate that using assemblage of multi-factor biomarker parameters, subsection correlation or multi-variant statistical analysis could more effectively trace the source of oils in composite basins.
Keywords:oil/source rock correlation  stable carbon isotope  biomarker  assemblage of biomarker parameters  subsection correlation  multi-variant statistical analysis  composite basin
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