Analytical and Semi-Analytical Tools for the Design of Oscillatory Pumping Tests
Analytical and Semi-Analytical Tools for the Design of Oscillatory Pumping Tests
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DOI：
10.1111/gwat.12308
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发表时间：
2015-11-01
期刊：
影响因子：
2.6
通讯作者：
Barrash, Warren
中科院分区：
文献类型：
--
作者：
Cardiff, Michael;Barrash, Warren
振荡抽水试验，其中流量是在一个周期性的fashionprovide了解含水层的异质性，是补充的战略，如段塞测试和恒速抽水试验的方法。在振荡测试期间，可以处理在非泵送威尔斯井处收集的压力数据，以从时间序列中提取度量，例如信号幅度和相位滞后。这些指标对常见的传感器问题（包括漂移和噪声）是强大的，并已被证明提供有关含水层异质性的信息。然而，用于表征的振荡泵送测试的现场实施并不常见，因此其设计和实施的指导方针很少。在这里，我们使用现有的分析解决方案，从文献中开发的振荡抽水试验的设计准则，同时考虑实际领域的限制。我们提出了两个关键的分析结果的设计和分析的振荡抽水试验。首先，我们提供了选择测试频率和流量的方法，最大化的信号幅度，可以预期在距离振荡泵井，给定的设计约束条件，如最大/最小振荡器频率和最大体积循环。来自现场测试的初步数据有助于验证该方法。其次，我们开发了一个半解析方法计算空间分布的含水层流动参数的振荡信号的灵敏度。该方法可以快速地应用于了解在给定的测试频率感测的含水层的范围。这两个结果可以应用于只给散装含水层参数估计，并可以帮助优化设计的振荡抽水试验活动。
Oscillatory pumping testsin which flow is varied in a periodic fashionprovide a method for understanding aquifer heterogeneity that is complementary to strategies such as slug testing and constant-rate pumping tests. During oscillatory testing, pressure data collected at non-pumping wells can be processed to extract metrics, such as signal amplitude and phase lag, from a time series. These metrics are robust against common sensor problems (including drift and noise) and have been shown to provide information about aquifer heterogeneity. Field implementations of oscillatory pumping tests for characterization, however, are not common and thus there are few guidelines for their design and implementation. Here, we use available analytical solutions from the literature to develop design guidelines for oscillatory pumping tests, while considering practical field constraints. We present two key analytical results for design and analysis of oscillatory pumping tests. First, we provide methods for choosing testing frequencies and flow rates which maximize the signal amplitude that can be expected at a distance from an oscillating pumping well, given design constraints such as maximum/minimum oscillator frequency and maximum volume cycled. Preliminary data from field testing helps to validate the methodology. Second, we develop a semi-analytical method for computing the sensitivity of oscillatory signals to spatially distributed aquifer flow parameters. This method can be quickly applied to understand the sensed extent of an aquifer at a given testing frequency. Both results can be applied given only bulk aquifer parameter estimates, and can help to optimize design of oscillatory pumping test campaigns.