基于矿物组分及晶胞参数特征定量划分川西二叠系火山岩相类型

Quantitative Classification of Permian Volcanic Facies in Western Sichuan Basin Based on Mineral Composition and Unit Cell Parameter Characteristics

  • 摘要: 四川盆地西部地区二叠系不同火山岩相岩性差异明显,在样品不足情况下基于岩石学性质划分岩相存在不确定性。本文运用X射线衍射全谱拟合、扫描电镜及能谱分析和偏光显微镜鉴定等技术定量表征火山岩矿物组分、岩石结晶度及斜长石晶胞参数等指标,划分了地区二叠系火山岩相的类型,并剖析其内在关系。研究表明,川西地区二叠系不同火山岩相中,特征矿物具差异化富集规律,岩石结晶度分布范围不同,斜长石晶胞参数差异明显。其中,爆发相、溢流相、次火山岩相及火山沉积相中分别富集特征矿物绿泥石、石英、拉长石及方解石(平均含量分别为43.14%、10.86%、38.99%及28.42%),各火山岩相岩石结晶度分布范围分别为84.79%~100%、76.22%~91.06%、73.90%~97.28%及81.02%~100%;此外,爆发相高温钠长石a-b轴参数、c轴参数分别与晶胞体积V呈强正相关及负相关,溢流相斜长石a-b轴参数与c轴参数正相关性较弱,次火山岩相拉长石a-b-c参数与晶胞体积V均呈正相关,火山沉积相中低温钠长石a-b轴参数呈负相关、b-c轴参数呈强负相关性。由此建立了基于“矿物含量–矿物相互关系–岩石结晶度–斜长石晶体结构–岩相类型”的火山岩相定量划分方法,为火山岩相精准划分提供了新思路。

     

    Abstract: There are significant lithological differences among different Permian volcanic facies in the western Sichuan Basin, and there is uncertainty in dividing volcanic facies based on petrological properties when samples are insufficient. In this paper, techniques such as X-ray diffraction (XRD) Rietveld method, scanning electron microscopy (SEM) and energy dispersive spectroscopy (EDS) analysis, and polarizing microscope identification were employed to quantitatively characterize indicators of volcanic rocks including mineral composition, rock crystallinity, and plagioclase unit cell parameters, as well as to analyze their intrinsic relationships. The results show that among the different Permian volcanic facies in western Sichuan, characteristic minerals exhibit differential enrichment patterns, rock crystallinity has different distribution ranges, and plagioclase unit cell parameters are significantly different; among them, chlorite, quartz, labradorite, and calcite are the characteristic minerals enriched in the explosive facies, effusive facies, subvolcanic facies, and volcano-sedimentary facies, respectively (with average contents of 43.14%, 10.86%, 38.99%, and 28.42% respectively); the rock crystallinity of each volcanic facies is 84.79%–100%, 76.22%–91.06%, 73.90%–97.28%, and 81.02%–100% respectively; in addition, the a-b axis parameters and c-axis parameter of high-temperature albite in the explosive facies show a strong positive correlation and a negative correlation with the unit cell volume V, respectively; the a-b axis parameters and c-axis parameter of plagioclase in the effusive facies have a weak positive correlation; the a-b-c axis parameters of labradorite in the subvolcanic facies all show a positive correlation with the unit cell volume V; and the a-b axis parameters of low-temperature albite in the volcano-sedimentary facies are negatively correlated, while the b-c axis parameters show a strong negative correlation. Based on these findings, a quantitative volcanic facies division method was established, which is based on the logical chain of “mineral content–mineral interrelationships–rock crystallinity–plagioclase crystal structure–volcanic facies type”, providing a new insight for the accurate division of volcanic facies.

     

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