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首页> 外文期刊>Hydrology and Earth System Sciences >Hydraulic characterisation of iron-oxide-coated sand and gravel based on nuclear magnetic resonance relaxation mode analyses
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Hydraulic characterisation of iron-oxide-coated sand and gravel based on nuclear magnetic resonance relaxation mode analyses

机译:基于核磁共振弛豫模式分析的氧化铁皮砂砾石水力表征

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摘要

The capability of nuclear magnetic resonance?(NMR) relaxometry to characterise hydraulic properties of iron-oxide-coated sand and gravel was evaluated in a laboratory study. Past studies have shown that the presence of paramagnetic iron oxides and large pores in coarse sand and gravel disturbs the otherwise linear relationship between relaxation time and pore size. Consequently, the commonly applied empirical approaches fail when deriving hydraulic quantities from NMR parameters. Recent research demonstrates that higher relaxation modes must be taken into account to relate the size of a large pore to its NMR relaxation behaviour in the presence of significant paramagnetic impurities at its pore wall. We performed NMR relaxation experiments with water-saturated natural and reworked sands and gravels, coated with natural and synthetic ferric oxides (goethite, ferrihydrite), and show that the impact of the higher relaxation modes increases significantly with increasing iron content. Since the investigated materials exhibit narrow pore size distributions, and can thus be described by a virtual bundle of capillaries with identical apparent pore radius, recently presented inversion approaches allow for estimation of a unique solution yielding the apparent capillary radius from the NMR data. We found the NMR-based apparent radii to correspond well to the effective hydraulic radii estimated from the grain size distributions of the samples for the entire range of observed iron contents. Consequently, they can be used to estimate the hydraulic conductivity using the well-known Kozeny–Carman equation without any calibration that is otherwise necessary when predicting hydraulic conductivities from NMR data. Our future research will focus on the development of relaxation time models that consider pore size distributions. Furthermore, we plan to establish a measurement system based on borehole NMR for localising iron clogging and controlling its remediation in the gravel pack of groundwater wells.
机译:在实验室研究中评估了核磁共振弛豫法表征铁氧化物涂层的沙子和砾石的水力特性的能力。过去的研究表明,在粗砂和砾石中存在顺磁性氧化铁和大孔隙会扰乱弛豫时间与孔隙大小之间的线性关系。因此,当从NMR参数推导出水力量时,常用的经验方法会失败。最近的研究表明,在孔壁处存在明显的顺磁性杂质的情况下,必须考虑较高的弛豫模式才能将大孔的大小与其NMR弛豫行为联系起来。我们使用浸有天然和合成三氧化二铁(针铁矿,水铁矿)的水饱和天然和返工砂和砾石进行了NMR弛豫实验,结果表明,随着铁含量的增加,较高弛豫模式的影响会显着增加。由于所研究的材料显示出狭窄的孔径分布,因此可以用具有相同表观孔隙半径的虚拟毛细管束来描述,因此最近提出的反演方法可根据NMR数据估算产生表观毛细管半径的独特溶液。我们发现,基于NMR的表观半径与观察到的铁含量的整个范围内从样品的晶粒尺寸分布估算出的有效水力半径非常吻合。因此,它们可以用于使用众所周知的Kozeny-Carman方程估算水力传导率,而无需进行任何校准,否则根据NMR数据预测水力传导率时就无需进行任何校准。我们未来的研究将集中在考虑孔隙尺寸分布的松弛时间模型的开发上。此外,我们计划建立一个基于井孔NMR的测量系统,以定位铁堵塞并控制地下水井砾石堆中的铁污染。

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