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Modeling the Frequency Distribution of Biostratigraphic Interval Zone Thickness in Sedimentary Basins

机译:沉积盆地生物地层间隔带厚度的频率分布模拟

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Sampling for microfossils in exploratory wells in basins with hydrocarbon potential is subject to considerable uncertainty, mainly because the samples are often small and subject to caving. Biostratigraphic events defined on fossil taxa include their last occurrences of which the depths along the wells generally can be measured without possible contamination. The RASC method for ranking and scaling of stratigraphic events produces an average basin-wide optimum sequence and zonation that can be used for correlation of strata between wells. In this optimum sequence the fossil events are ordered according to their occurrences in geological time. Depth differences between successive events in the optimum sequence satisfy a frequency distribution that is of interest for potentially increasing stratigraphic resolution. In this paper the depth difference frequency distribution is modeled for a large Cenozoic microfossil dataset consisting of 30 wells in the North Sea Basin. The shape of the depth difference frequency distribution satisfies a bilateral gamma distribution fitted by the construction of a best fitting straightline on a normal Q-Q plot of square root transformed average-corrected depth differences.
机译:在具有碳氢化合物潜力的盆地的勘探井中对微化石进行采样存在很大的不确定性,这主要是因为样品通常很小并且容易崩塌。化石分类上定义的生物地层事件包括它们的最后一次发生,通常可以测量沿井的深度而不会造成污染。用RASC方法对地层事件进行分级和定标可得出整个盆地范围内的平均最佳层序和分区,可用于井间地层的相关性。在这种最佳顺序中,化石事件是根据其在地质时间内的发生而排序的。最佳序列中连续事件之间的深度差满足了可能增加地层分辨率的频率分布。在本文中,对北海盆地由30口井组成的大型新生代微化石数据集建模了深度差频率分布。深度差频率分布的形状满足通过在平方根变换的平均校正后的深度差的正常Q-Q图上构建最佳拟合直线而拟合的双边伽马分布。

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