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Electrical-Hydraulic Relationships Observed for Unconsolidated Sediments in the Presence of a Cobble Framework

机译:卵石框架存在下未固结沉积物的电-液关系

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摘要

Mechanistic models now exist to predict hydraulic conductivity (K) from the spectral-induced polarization (SIP) response of granular media. We examined the predictions of such a model on unconsolidated coarse fluvial sediments and compared them to those obtained with a modified Kozeny-Carman (KC) model. Samples were retrieved from the Boise Hydrogeophysical Research Site (BHRS), located on a gravel bar adjacent to the Boise River, Idaho. A sample holder (0.102 m diameter and 0.12 m in length) was designed to include the cobble framework in reconstituted samples representing the primary stratigraphic units defined based on porosity variation at this site. SIP (0.001–1000 Hz) and K (from Darcy tests) measurements were recorded for 12 samples, with SIP measurements made as a function of pore fluid conductivity (3–300 mS/m), grain size distribution (GSD), and total porosity. K prediction with the KC model was improved after discounting of the cobble framework and multiplying by the tortuosity resulting from matrix “capillaries” around the cobbles, resulting in estimates within a factor of 5 of the measurements. K prediction with a mechanistic SIP model based on Stern layer polarization (SLP model) that requires an estimate of the GSD also required discounting for the cobble framework to obtain estimates within 0.5 orders of magnitude of the measurements. Similarly, the SLP model overpredicts the measured imaginary conductivity ( σ″) unless the cobble framework is discounted, which then results in estimates of σ″ within a factor of 2 of the measurements. This can be explained by the fact that the cobbles polarize at frequencies well below the minimum measurement frequency (0.001 Hz). The SLP model for K prediction parameterized in terms of the formation factor and imaginary conductivity performed well for the 10 samples with a cobble framework without modification as the imaginary conductivity directly senses the matrix grain size characteristics, whereas the formation factor captures the porosity reduction and tortuosity resulting from the presence of the cobble framework (capillary tortuosity). Our findings suggest that the estimation of contrasts in K in coarse sediments may be achievable through measurements of electrical properties after appropriate consideration of the cobble fraction.
机译:现在存在用于从粒状介质的光谱感应极化(SIP)响应预测水力传导率(K)的力学模型。我们检查了这种模型对未固结的粗糙河床沉积物的预测,并将其与使用改良的Kozeny-Carman(KC)模型获得的预测相比较。样品是从位于爱达荷州博伊西河附近的砾石坝上的博伊西水文地球物理研究站点(BHRS)检索的。设计了一个样品架(直径为0.102 m,长度为0.12 m),将卵石框架包括在重构样品中,这些样品代表了基于该位置孔隙率变化确定的主要地层单位。记录了12个样品的SIP(0.001–1000 Hz)和K(来自Darcy测试)测量结果,这些SIP测量结果是孔隙流体电导率(3–300 mS / m),粒度分布(GSD)和总含量的函数孔隙率。在剔除鹅卵石框架并乘以鹅卵石周围的矩阵“毛细管”产生的曲折性之后,使用KC模型进行的K预测得到了改善,从而使估计值达到了测量值的5倍。使用基于斯特恩层极化的机械SIP模型(SLP模型)进行的K预测(需要对GSD进行估算)也需要对卵石框架进行折现才能获得测量值的0.5个数量级内的估算值。类似地,除非将卵石框架打折,否则SLP模型会过高预测测得的虚导电率(σ''),这将导致对σ''的估计在测量值的2倍之内。这可以通过以下事实来解释:卵石在远低于最小测量频率(0.001 Hz)的频率下极化。对于K预测的SLP模型,根据形成因子和虚导率参数化,在没有修改的情况下,对于10个具有鹅卵石骨架的样品表现良好,因为虚导率直接感测了基体晶粒尺寸特征,而形成因数捕获了孔隙率降低和曲折度由于存在卵石框架(毛细管曲折)而产生。我们的发现表明,在适当考虑了卵石分数之后,可以通过测量电性能来估算粗沉积物中K的对比度。

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