Indelman P, Lessoff S C, Dagan G
Department of Fluid Mechanics and Heat Transfer, Faculty of Engineering, Tel Aviv University, Ramat Aviv, 69978 Tel Aviv, Israel.
J Contam Hydrol. 2006 Sep 10;87(1-2):1-21. doi: 10.1016/j.jconhyd.2006.04.005. Epub 2006 Jul 17.
Solute transport is investigated in a heterogeneous aquifer for combined natural-gradient and well flows. The heterogeneity is associated with the spatially varying hydraulic conductivity K(x, y, z), which is modelled as a log-normal stationary-random function. As such, the conductivity distribution is characterized by four parameters: the arithmetic mean K(A), the variance sigma(Y)(2) (Y=lnK), the horizontal integral scale I of the axisymmetric log-conductivity autocorrelation and the anisotropy ratio e=I(v)/I (I(v) is the vertical integral scale). The well fully penetrates an aquifer of constant thickness B and has given constant discharge QB, while the background aquifer flow is driven by an uniform mean head-gradient, - J. Therefore, for a medium of homogeneous conductivity K(A), the steady-state capture zone has a width 2L=Q/(K(A)|J|) far from the well (herein the term capture zone is used to refer both to the zone from which water is captured by a pumping well and the zone that captures fluid from an injecting well). The main aim is to determine the mean concentration as a function of time in fluid recovered by a pumping well or in a control volume of the aquifer that captures fluid from an injecting well. Relatively simple solutions to these complex problems are achieved by adopting a few assumptions: a thick aquifer B>>I(v) of large horizontal extent (so that boundary effects may be neglected), weak heterogeneity sigma(Y)(2)<1, a highly anisotropic formation e<0.2 and neglect of pore-scale dispersion. Transport is analyzed to the first-order in sigma(Y)(2) in terms of the travel time of particles moving from or towards the well along the steady streamlines within the capture zone. Travel-time mean and variance to any point are computed by two quadratures for an exponential log-conductivity two-point covariance. Spreading is reflected by the variance value, which increases with sigma(Y)(2) and I/L. For illustration, the procedure is applied to two particular cases. In the first one, a well continuously injects water at constant concentration. The mean concentration as function of time for different values of the controlling parameters sigma(Y)(2) and I/L is determined within control volumes surrounding the well or in piezometers. In the second case, a solute plume, initially occupying a finite volume Omega(0), is drawn towards a pumping well. The expected solute recovery by the well as a function of time is determined in terms of the previous controlling parameters as well as the location and extent of Omega(0). The methodology is tested against a full three-dimensional simulation of a multi-well forced-gradient flow field test ([Lemke, L., W.B. II, Abriola, L., Goovaerts, P., 2004. Matching solute breakthrough with deterministic and stochastic aquifer models. Ground Water 42], SGS simulations). Although the flow and transport conditions are more complex than the ones pertinent to capture zones in uniform background flow, it was found that after proper adaptation the methodology led to results for the breakthrough curve in good agreement with a full three-dimensional simulation of flow and transport.
在一个非均质含水层中,研究了自然梯度和井流共同作用下的溶质运移。这种非均质性与空间变化的水力传导率K(x, y, z)相关,该传导率被建模为对数正态平稳随机函数。因此,传导率分布由四个参数表征:算术平均值K(A)、方差sigma(Y)(2)(Y = lnK)、轴对称对数传导率自相关的水平积分尺度I以及各向异性比e = I(v)/I(I(v)是垂直积分尺度)。井完全穿透厚度恒定为B的含水层,并具有给定的恒定流量QB,而背景含水层水流由均匀的平均水头梯度 -J驱动。因此,对于传导率为K(A)的均质介质,远离井处的稳态捕获区宽度为2L = Q/(K(A)|J|)(在此,术语捕获区既指抽水井捕获水的区域,也指注入井捕获流体的区域)。主要目的是确定抽水井回收流体中或捕获注入井流体的含水层控制体积内,平均浓度随时间的变化函数。通过采用一些假设,可以得到这些复杂问题的相对简单的解决方案:水平范围较大的厚含水层B>>I(v)(以便可以忽略边界效应)、弱非均质性sigma(Y)(2)<1、高度各向异性的地层e<0.2以及忽略孔隙尺度弥散。根据捕获区内沿着稳定流线从井或向井移动的粒子的传播时间,对sigma(Y)(2)进行一阶输运分析。对于指数对数传导率两点协方差,通过两个求积法计算到任意点的传播时间均值和方差。扩散由方差值反映,方差值随sigma(Y)(2)和I/L增加。为了说明,该程序应用于两个特定情况。在第一种情况中,一口井以恒定浓度连续注水。在围绕井的控制体积内或压力计中,确定了不同控制参数sigma(Y)(2)和I/L值下,平均浓度随时间的变化函数。在第二种情况中,一个最初占据有限体积Omega(0)的溶质羽流被吸引到一口抽水井。根据先前的控制参数以及Omega(0)的位置和范围,确定了井随时间的预期溶质回收率。该方法针对多井强制梯度流场试验的全三维模拟进行了测试([Lemke, L., W.B. II, Abriola, L., Goovaerts, P., 2004. Matching solute breakthrough with deterministic and stochastic aquifer models. Ground Water 42],SGS模拟)。尽管流动和输运条件比均匀背景流中与捕获区相关的条件更复杂,但发现经过适当调整后,该方法得出的突破曲线结果与流动和输运的全三维模拟结果吻合良好。