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A fast FFT method for 3D pore-scale rock-typing of heterogeneous rock samples via Minkowski functionals and hydraulic attributes

机译:基于Minkowski泛函和水力属性的非均质岩石样品3D孔尺度岩石分型的快速FFT方法

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The integration of numerical simulation and physical measurements, e.g. digital and conventional core analysis, requires the consideration of significant sample sizes when heterogeneous core samples are considered. In such case a hierarchical upscaling of properties may be achieved through a workflow of partitioning the sample into homogeneous regions followed by characterization of these homogeneous regions and upscaling of properties. Examples of such heterogeneities are e.g. fine laminations in core samples or different micro-porosity types as consequence of source rock components and diagenesis. In this work we utilize regional measures based on the Minkowski functionals as well as local saturation information derived through a morphological capillary drainage transform as a basis for such a classification/partitioning. An important consideration is the size of the measurement elements utilized, which could be considerable in the case of larger heterogeneities; in such case the calculation of the regional measures can be computationally very expensive. Here we introduce an FFT approach to calculate these measures locally, utilizing their additivity. The algorithms are compared against direct summation techniques and shift-overlap approaches for a selection of different averaging supports to illustrate their speed and practical applicability. We consider a range of artificial Boolean models to illustrate the effect of including hydraulic information on the resulting classifications scheme. This allows the determination of bias, since for these model systems local classes are known ab-initio. The classification framework is tested by comparing to the known initial micro-structure distribution and relative bias quantified in terms of choice of averaging elements (size and shape). Importantly, depending on the actual morphological transition between micro-type partitions, partitions including hydraulic attributes differ from pure morphological partitions with applications to electrofacies and hydraulic unit definitions.
机译:数值模拟和物理测量的集成,例如当考虑异构岩心样本时,数字和常规岩心分析需要考虑大量样本。在这种情况下,可以通过将样品划分为均匀区域,然后表征这些均匀区域并进行性能提升的工作流程来实现特性的分级提升。这种异质性的例子是例如。源岩成分和成岩作用导致岩心样品或不同微孔隙类型中的精细叠层。在这项工作中,我们利用基于Minkowski泛函的区域测度以及通过形态学毛细管排水转换得出的局部饱和度信息作为这种分类/划分的基础。一个重要的考虑因素是所使用的测量元件的尺寸,在较大的异质性情况下可能会相当大;在这种情况下,区域度量的计算在计算上可能非常昂贵。在这里,我们介绍一种FFT方法,利用它们的可加性在本地计算这些度量。将算法与直接求和技术和移位重叠方法进行比较,以选择不同的平均支持,以说明其速度和实际适用性。我们考虑了一系列人工布尔模型,以说明将水力信息包括在所得分类方案中的影响。这允许确定偏差,因为对于这些模型系统,局部类是从头开始的。通过比较已知的初始微观结构分布和根据平均元素(大小和形状)的选择量化的相对偏差来测试分类框架。重要的是,取决于微型隔板之间的实际形态学转变,包括水力属性的隔板与纯形态隔板在电相和水力单元定义上的应用有所不同。

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