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Non-Gaussianity of petrophysical parameters using q entropy and a multifractal random walk

机译:使用q熵和多重分形随机游动的岩石物理参数的非高斯性

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Geological systems such as petroleum reservoirs can be investigated using Tsallis entropy and multiplicative hierarchical cascade models. The occurrence of non-Gaussianity is a sign of uncertainty and a phase transition, which could indicate the existence of a petroleum reservoir. Two important parameters that describe a system at any scale are determined: the degree of non-Gaussianity, q, for the entropy and the intermittency, λ ~2, which explains critical behavior in a system. Some petrophysical indicators can be used to characterize a reservoir, but there is a lack of methods for measuring scaling information. This study compares non-Gaussianity for three selected indicators at various scales: gamma radiation (GR), sonic transient time (DT) and neutron porosity (NPHI). The results show that GR has a fat-tailed probability distribution function (PDF) at all scales, which is a sign of phase transition in the system and indicates high q and λ ~2. This provides valuable information about GR. NPHI shows scale dependence and the PDF converges to a Gaussian distribution at large scales. This is indicative of separated and uncorrelated porosity at large scales. For the DT series, small λ ~2 and q at all scales are a hallmark of local DT correlations.
机译:可以使用Tsallis熵和可乘分层级联模型来研究地质系统(例如石油储层)。非高斯性的出现是不确定性和相变的标志,这可能表明存在石油储层。确定了描述任何规模系统的两个重要参数:熵的非高斯度q和解释系统中关键行为的间断性λ〜2。可以使用一些岩石物理指标来表征储层,但是缺乏测量结垢信息的方法。这项研究比较了三个选定指标在不同尺度上的非高斯性:伽马辐射(GR),声波瞬变时间(DT)和中子孔隙率(NPHI)。结果表明,GR在所有尺度上均具有肥尾概率分布函数(PDF),这是系统中相变的标志,并指示高q和λ〜2。这提供了有关GR的有价值的信息。 NPHI显示出比例依赖性,并且PDF大规模地收敛为高斯分布。这表明大范围的孔隙分离和不相关。对于DT系列,所有尺度上的小λ〜2和q是局部DT相关性的标志。

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