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Probing Pore Systems in Carbonates: Correlations toPetrophysical Properties

机译:探测碳酸盐岩中的孔隙系统:与岩石物理特性的关系

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The understanding of petrophysical and multiphase flowproperties is essential for the assessment and exploitationof hydrocarbon reserves; these properties in turn are dependenton the geometric and connectivity properties ofthe pore space. The determination of the pore size distributionin carbonate rocks remains challenging; extremevariability in carbonate depositional environments andsusceptibility to a range of post-depositional processesresults in complex pore structures comprising length scalesfrom sub-micron to several centimeters. In this paper weillustrate that combining experimental techniques includingmicro-computed tomography and scanning electronmicroscopy (SEM) allows one to probe the pore scalestructure in carbonates across a continuous range overmany decades of length scales (from 10 nm to cm scales).Image data at nanoscales can be incorporated into theprediction of petrophysical properties of 3D images. Thisis especially important in limestones.We describe the study of the internal structure of over 30carbonate samples across this range of length scales. Thesamples include carbonates with different porosity classificationsincluding end members ranging from depositionalporosity, diagenetic porosity and fracture porosityand many hybrid samples with mixtures of pore types.Particular emphasis is placed on the quantification of thepore sizes, shapes and interconnectivities in three dimensions.Extreme variability in pore network structures isobserved. The pore network statistics (e.g., coordination,aspect ratio, pore size) for the connected samples are oftensimilar despite the clear visual difference in the networkstructures. This illustrates the danger of attemptingto stochastically generate pore networks for differentcarbonate samples based on matching network statisticsalone.Petrophysical properties including resistivity, acoustic responseand permeability are calculated on image data andwhere available, compared to experimental data. Comparisonsbetween simulation and experimental data onthe same core material are satisfactory. Flow propertiesof systems exhibiting significant microporosity requirefurther development.
机译:对岩石物理流和多相流的理解 属性对于评估和开发至关重要 碳氢化合物储量;这些属性反过来是依赖的 的几何和连通性 孔隙空间。孔径分布的确定 在碳酸盐岩中仍然具有挑战性;极端 碳酸盐沉积环境的可变性和 易受一系列沉积后过程的影响 导致包含长度尺度的复杂孔结构 从亚微米到几厘米。在本文中,我们 说明结合实验技术包括 微型计算机断层扫描和扫描电子 显微镜(SEM)可以探测孔垢 碳酸盐在连续范围内的碳酸盐结构 数十年的长度刻度(从10 nm到cm刻度)。 可以将纳米级的图像数据并入 3D图像的岩石物理特性的预测。这 在石灰石中尤为重要。 我们描述了对30多个内部结构的研究 长度范围内的碳酸盐样品。这 样品包括具有不同孔隙度分类的碳酸盐 包括端到端的沉积物 孔隙度,成岩孔隙度和断裂孔隙度 以及许多混合了孔类型的混合样品。 特别强调量化 在三个维度上的孔径,形状和互连性。 孔网络结构的极端可变性是 观测到的。孔隙网络统计信息(例如,协调, 长宽比,孔径)通常是所连接样品的 尽管网络中存在明显的视觉差异,但相似 结构。这说明了尝试的危险 随机生成不同的孔网络 基于匹配网络统计数据的碳酸盐样品 独自的。 岩石物理性质,包括电阻率,声响应 渗透率和渗透率是根据图像数据计算得出的, 与实验数据进行比较(如果有)。比较表 在模拟和实验数据之间 相同的芯材是令人满意的。流动特性 表现出显着的微孔性的系统 进一步的发展。

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