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Soil hydraulic interpretation of nuclear magnetic resonance measurements based on circular and triangular capillary models

机译:基于圆形和三角毛细管模型的核磁共振测量土壤液压解释

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摘要

Abstract Geophysical nuclear magnetic resonance (NMR) applications are used to estimate pore size distributions (PSDs) of rocks and sediments. This is commonly realized by empirical calibration using information about the surface‐to‐volume ratio of the material. Recent research has developed joint inversion concepts for NMR relaxation data that provides the PSD with a minimum of information. The application requires the NMR signal of a sample at saturation and at least one at partial saturation and at known suction. The new inversion concept physically simulates the desaturation process as part of the forward operator. The cross‐section of the model capillaries in the underlying bundle can be either circular or triangular. Our study investigates the performance of the NMR joint inversion to predict water retention function (WRF) and capillary‐based hydraulic conductivity (Kcap) as functions of saturation for different sands. The angularity of the pores has no significant impact on the estimated WRF but affects the Kcap estimation significantly. Our study shows that the WRF is predicted reliably for sand samples under fast diffusion conditions. The Kcap estimations are also plausible but tend to systematic overestimation, for which we identified the tortuosity being the main reason. Because NMR relaxation data generally do not provide tortuosity information, a plausible tortuosity model remains an issue of classical calibration. Further development of the approach will thus consider tortuosity measurements (e.g., by electrical resistivity measurements and/or gradient NMR) and will consider the relaxation mechanisms outside fast diffusion conditions to enhance its applicability for coarse soils.
机译:摘要地球物理核磁共振(NMR)应用用于估算岩石和沉积物的孔径分布(PSD)。这通常是通过使用关于材料的表面到体积比的信息的经验校准来实现。最近的研究开发了NMR放松数据的联合反演概念,提供了具有最少信息的PSD。该应用要求在饱和度和至少一个处于部分饱和和已知抽吸时的样品的NMR信号。新的反转概念物理地模拟了作为前向操作员的一部分的去饱和过程。底层束中的模型毛细管的横截面可以是圆形或三角形的。我们的研究研究了NMR联合反演的性能,以预测水保留功能(WRF)和基于毛细管的液压导电性(KCAP)作为不同砂饱和的函数。孔的角度对估计的WRF没有显着影响,但显着影响KCAP估计。我们的研究表明,在快速扩散条件下的沙子样品可靠地预测WRF。 KCAP估计也是合理的,但倾向于系统高估,为此,我们确定了曲折性是主要原因。由于NMR弛豫数据一般不提供曲折信息,所以腐蚀性模型仍然是古典校准的问题。因此,进一步发展该方法将考虑曲折测量(例如,通过电阻率测量和/或梯度NMR),并将考虑在快速扩散条件外的松弛机制,以增强其对粗糙土壤的适用性。

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