基于梯度的表面核磁共振用于地下水调查

GEOPHYSICS Pub Date : 2024-01-18 DOI:10.1190/geo2023-0311.1
Darya Morozov, Cristina McLaughlin, Elliot D. Grunewald, Trevor Irons, David O. Walsh
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引用次数: 0

摘要

在医学核磁共振成像中,空间定位(成像)的基础是在主磁场顶部应用受控磁场梯度,在整个调查体积内对核磁共振的频率和/或相位进行空间调制。在这项工作中,我们应用了类似的物理原理,在基于表面 NMR 的地下水调查中产生受控磁场梯度。在这种方法中,会在激励脉冲之后立即施加一个振幅或持续时间可变的梯度脉冲,使核磁共振信号的相位编码与深度成函数关系。这种方法也适用于新出现的地表 NMR 检测方法,这些方法使用具有快速非绝热关闭功能的预极化场从浅层地下生成可检测的 NMR 信号。在这种情况下,梯度脉冲是在终止预极化场之后应用的,它提供了一种迄今为止无法获得的将 NMR 响应定位为深度函数的方法。梯度的应用还可与基于针尖角度的调制相结合,以获得比单独基于梯度或针尖角度成像更高的成像分辨率。我们在与 GMR-Flex 仪器兼容的表面 NMR 梯度生成附件中实现了这种基于梯度的新功能,并开发了表面 NMR 专用正向建模和线性逆模型。我们利用计算机模拟、使用充满离散散水层的小水池进行的实验,以及在西澳大利亚州埃贝岛和堪萨斯州拉尼德沿线特征良好的地下水测试点进行的实地实验,验证了这种基于梯度的新型 sNMR 技术的准确性。基于梯度的 sNMR 成像观测结果与在这些地点观测到的高分辨率直接推动 NMR 结果进行了比较。计算机模拟和现场实验的结果表明,与传统的地表核磁共振成像方法相比,地表核磁共振在浅层地表水含量的探测(信噪比)和空间分辨率方面都有所提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Gradient-based surface NMR for groundwater investigation
In medical MRI, spatial localization (imaging) is based upon the application of controlled magnetic field gradients on top of the main magnetic field, to spatially modulate the frequency and/or phase of the NMR across the volume of investigation. In this work, we have applied similar physical principles to produce controlled magnetic field gradients during surface NMR-based groundwater investigations. In this approach a gradient pulse of variable amplitude or duration is applied immediately after the excitation pulse, to cause predictable phase encoding of the NMR signal as a function of depth. This approach is also applicable to emerging surface NMR detection methods that use a pre-polarization field with fast non-adiabatic turn off to generate detectable NMR signals from the shallow subsurface. In this case, the gradient pulse is applied after terminating the pre-polarization field and provides a heretofore unavailable means of localizing the NMR response as a function of depth. The application of gradients can also be combined with tip-angle based modulation to yield higher imaging resolution than can be achieved through either gradient- or tip-angle based imaging alone. We implemented this new gradient-based capability into a surface NMR gradient generation accessory that is compatible with the GMR-Flex instrument and developed surface NMR-specific forward modeling and linear inverse models. We validated the accuracy of this novel gradient-based sNMR technology using computer simulations, experiments using a small pool filled with a discrete layer of bulk water, and field experiments at well-characterized groundwater test sites along Ebey Island, WA, and Larned, KS. The gradient-based sNMR imaging observations were compared with high resolution direct push NMR results observed at these sites. The results of computer simulations and field experiments indicate improvements in both detection (signal-to-noise ratio) and spatial resolution of shallow surface water content using surface NMR, compared to traditional surface NMR imaging methods.
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