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首页> 外文期刊>Geophysics: Journal of the Society of Exploration Geophysicists >Application of nanoindentation for uncertainty assessment of elastic properties in mudrocks from micro- to well-log scales
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Application of nanoindentation for uncertainty assessment of elastic properties in mudrocks from micro- to well-log scales

机译：纳米狭窄在微量到井对数尺度的泥虫中弹性性能不确定度评价的应用

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摘要

Uncertainty in estimates of elastic properties of soft mudrock components, such as clay minerals and kerogen, can influence well-log-based evaluation of effective elastic properties in organic-rich mudrocks. Existing methods, such as effective medium models for well-log-based assessment of elastic properties, assume a constant stiffness and an idealized shape for rock components. However, these characteristics might vary depending on the distribution and size of that particular component, as well as its adjacent components. Furthermore, there is a significant uncertainty in elastic properties of kerogen in the case of organic-rich mudrocks. The uncertainty associated with the aforementioned parameters on effective elastic properties of rocks has not been investigated in existing publications. In this paper, we quantified the variability in elastic properties of individual mudrock components caused by their spatial distribution, size, and rock fabric at the microscale and their impacts on well-log-based evaluation of effective elastic properties. We performed nanoindentation mechanical tests on samples from the Haynesville and the lower Eagle Ford Formations, to measure Young's modulus and hardness at targeted locations. Then, we quantified the variability of Young's modulus in the microscale and its impact on effective elastic properties at the micro-and well-log scales. Results reveal significant uncertainties in measurements of elastic properties of soft rock components, associated with their location and size. Young's moduli of individual clay components are higher when located adjacent to stiff rock components, such as large quartz and calcite grains. Results reveal that 25% and 12% uncertainties in measured elastic properties of clay minerals affect well-log-based estimates of effective elastic stiffness coefficients up to 29% and 11% in the Haynesville and the lower Eagle Ford Formations, respectively. These uncertainties can be more significant in cases with a higher concentration of clay minerals and kerogen.
机译：软泥屑组分的弹性性能估计的不确定性，例如粘土矿物和角膜原，可以影响有机牡蛎中有效弹性性能的良好基于物质的评价。现有方法，例如基于良好的基于​​良好的弹性性能评估的有效介质模型，假设岩石部件的恒定刚度和理想化形状。然而，这些特性可能根据该特定组件的分布和大小以及其相邻组件而变化。此外，在有机含糊的泥虫的情况下，Kerogen的弹性性质存在显着的不确定性。在现有的出版物中尚未研究与上述岩石有效弹性性能的上述参数相关的不确定性。在本文中，我们量化了在微观尺寸的空间分布，尺寸和岩石面料引起的各个混浊部件的弹性性能的可变性及其对基于良基状的有效弹性性能的影响。我们对Haynesville和较低的鹰福特形成的样品进行了纳米indentation机械测试，以测量目标位置的杨氏模量和硬度。然后，我们量化了微观尺寸在微尺度中杨氏模量的可变性及其对微井和良好的对数尺度的有效弹性特性的影响。结果揭示了与其位置和尺寸相关的软岩组件的弹性性能测量中的显着不确定性。当位于刚性岩石部件（例如大型石英和方解石晶粒）附近时，杨氏的单个粘土组分的Moduli更高。结果表明，粘土矿物质的测量弹性性能下的25％和12％的不确定性会影响富裕的弹性刚度系数的良好基于物质的估计，分别在Haynesville和下鹰福特组中的有效弹性僵硬系数的良好估计。在具有较高浓度的粘土矿物和角膜炎的情况下，这些不确定性可能更重要。

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