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A new method of lithologic identification and distribution characteristics of fine - grained sediments: A case study in southwest of Ordos Basin, China

机译:细粒沉积物岩性识别与分布特征的新方法-以鄂尔多斯盆地西南部为例

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摘要

Lithologic identification is critical for studying fine - grained sediments, which further elucidates sedimentary environment, and formation. The oil - bearing Chang 7 Section of the Yanchang Formation in Ordos Basin contains thick dark mudstone with a wide distribution, interbedded by siltstone and fine sandstone. The lacustrine fine - grained sedimentary rocks constitute the chief source rock of the Yanchang Formation. On the grounds of fine core description, thin rock slice identification and X - ray diffraction analysis, we proposed a new method based on conventional logging data. This method is using density (DEN) and natural gamma (GR) logging curve intersection and multivariate linear regression analysis of logging curve value and measured mineral content value which is carried out by SPSS software to identify the lithology and the vertical distribution characteristics of fine - grained sedimentary rock of Chang 7 formation in the study area. This method is mainly suitable for lithologic identification of fine - grained sedimentary rocks in lake basin. It not only quantitatively analyses the contents of main minerals and organic matter in fine - grained sedimentary rocks, but also greatly improved the accuracy and universality of using conventional logging data to identify the lithology of fine - grained sedimentary rocks, which provides a reference for the exploration of tight oil.
机译:岩性识别对于研究细颗粒状沉积物至关重要,这可以进一步阐明沉积环境和地层。鄂尔多斯盆地延长组长7段含油层厚,分布较深,由粉砂岩和细砂岩夹层。湖相细粒沉积岩是延长组的主要烃源岩。基于精细的岩心描述,薄片识别和X射线衍射分析,我们提出了一种基于常规测井数据的新方法。该方法利用密度(DEN)和自然伽马(GR)测井曲线交点以及测井曲线值和测得的矿物质含量值的多元线性回归分析,该分析由SPSS软件进行,以识别细粉岩的岩性和垂直分布特征-研究区长7组粒状沉积岩。该方法主要适用于湖盆细粒沉积岩的岩性识别。它不仅定量分析了细粒沉积岩中主要矿物和有机质的含量,而且大大提高了利用常规测井数据识别细粒沉积岩的岩性的准确性和通用性,为今后的研究提供参考。致密油勘探。

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