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Analysis of time-drawdown data from heterogeneous leaky aquifer systems

机译:非均相泄漏含水层系统的时间缩小数据分析

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The analysis of drawdown data from pumping tests is often performed using graphical techniques that are based on the assumption of aquifer homogeneity. However, natural subsurface formations are heterogeneous with complex patterns of spatial variability. In this paper, we describe a novel interpretation method that uses the time derivative of the drawdown to infer information about the spatial variability of the flow parameters in heterogeneous leaky aquifer systems. The method uses the observed drawdown and its time-derivative at a single point to estimate the hydraulic parameters. By applying the procedure to different portions of the time-drawdown data, variations in the flow parameters with radial distance from the pumping well are detected. The method can also be used as a tool to identify the type of aquifer system present. For demonstration the method is applied to pumping test data from an alluvial leaky aquifer in California, USA. Various data smoothing and differentiation techniques were evaluated for the estimation of the time-drawdown derivative. Because of the noise typically observed in field data, optimal estimates of the drawdown derivative were obtained by first fitting the drawdown data to high order polynomials and splines and then differentiating the fitted functions with respect to time. Results of the analyses show that the proposed methodology is a viable tool for the interpretation of pumping test data and that it may yield important information about the heterogeneity of the aquifer, which is generally ignored in conventional pumping test analysis techniques.
机译:通过基于含水层均匀性的假设的图形技术,通常使用基于含水层均匀性的图形技术进行泵浦测试的分析。然而,天然地下地层具有复杂的空间变异模式的异质性。在本文中,我们描述了一种新颖的解释方法,该解释方法使用绘图的时间衍生来推断出关于异构泄漏含水层系统中流动参数的空间变异性的信息。该方法在单点使用观察到的绘图及其时间衍生物来估计液压参数。通过将过程应用于时间缩小数据的不同部分,检测从泵送井的径向距离的流动参数的变化。该方法还可以用作识别存在的含水层系统类型的工具。为了演示,该方法应用于美国加利福尼亚州的冲积泄漏含水层的试验数据。评估各种数据平滑和差异化技术以估计时间缩小衍生物。由于通常在现场数据中观察到的噪声,通过首先将拔出数据拟合到高阶多项式和花键,然后相对于时间区分拟合功能来获得拉出衍生物的最佳估计。分析结果表明,该方法是用于解释泵送测试数据的可行工具,并且它可能产生关于含水层的异质性的重要信息,这通常在传统的泵送测试分析技术中忽略。

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