首页> 外文期刊>Acta Geologica Slovaca >Statistical analysis as a tool for identification of depositional palaeoenvironments in deep-sea fans (Palaeogene formations, Central Western Carpathians, north Slovakia)
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Statistical analysis as a tool for identification of depositional palaeoenvironments in deep-sea fans (Palaeogene formations, Central Western Carpathians, north Slovakia)

机译:统计分析作为确定深海扇沉积环境的工具(古近系地层,中西部喀尔巴阡山脉,斯洛伐克北部)

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The analysis of sedimentary facies and implied model of genetic facies as well as cyclicity in vertical patterns of bed thickness with grain size distribution are frequently used to identify the depositional environment in ancient deep-water systems. Another, less conventional approach represents statistical methods to the study of the deep-sea fan environments. The object of the study is a test of practical application of the Hurst statistics, the function of cumulative distribution of bed thicknesses, the index of proximity (ABC index) and frequency histograms on four sample sections from the Central Carpathian Palaeogene Basin in the Orava region. Based on the sedimentary facies analysis, each of the successions represent different part of depositional environment of the deep-sea fan, including the channel and levee, overbank and interchannel as well as different parts of depositional lobe environments. Study shows that statistical analyses could represent an appropriate supplemental tool to the identification of depositional environment. However, the statistical analysis require a good quality and an adequate quantity of data. Their usability is also limited for successions of sufficient dataset quantity but with a mixed signal in consequence of frequent vertical variation of depositional environments, especially in more proximal parts of the deep-sea fans. The P index may reflect distality/proximity of depositional environment in the deep-sea fan and palaeo-flow regime, but fails to distinguish it from the lateral changes. Therefore, it has individually only poor information value.
机译:沉积相和遗传相隐含模型的分析以及床层厚度与粒度分布的垂直模式中的周期性经常被用来识别古代深水系统的沉积环境。另一种不太常规的方法代表了用于研究深海风扇环境的统计方法。该研究的目的是对Orast地区中部喀尔巴阡古生代盆地的四个样本剖面上的Hurst统计量,床厚的累积分布函数,邻近指数(ABC指数)和频率直方图的实际应用进行测试。 。根据沉积相分析,每个演替都代表深海扇沉积环境的不同部分,包括河道和堤坝,河岸和河道之间以及沉积叶环境的不同部分。研究表明,统计分析可能是确定沉积环境的适当补充工具。但是,统计分析需要高质量和足够数量的数据。它们的可用性也因连续足够的数据集数量而受到限制,但由于沉积环境的频繁垂直变化(尤其是在深海扇的较近部分)而导致混合信号。 P指数可能反映了深海扇和古流态下沉积环境的远近度/邻近度,但未能将其与侧向变化区分开。因此,它单独仅具有较差的信息价值。

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