Day-Lewis Frederick D, Mackley Rob D, Thompson Joshua
Pacific Northwest National Laboratory, Earth and Environmental Systems Division, Environmental Subsurface Science Group, 901 Battelle Boulevard, Richland, WA, 99352, USA.
Department of Earth and Environmental Sciences, Rutgers University - Newark, Newark, NJ, USA.
Ground Water. 2023 Nov-Dec;61(6):834-845. doi: 10.1111/gwat.13300. Epub 2023 Mar 9.
New approaches are needed to assess contaminant mass based on samples from long-screened wells and open boreholes (LSW&OB). The interpretation of concentration samples collected in LSW&OB is complicated in the presence of vertical flow within the well. In the absence of pumping (i.e., ambient conditions), the well provides a conduit for flow to occur between aquifer layers or fractures as a result of head differences. Under pumping conditions, vertical borehole flow may vary with depth depending on far-field heads and hydraulic conductivity; furthermore, if pumping fails to overcome ambient gradients, outflow from the well to the aquifer may occur. Concentration samples thus represent flow-weighted averages of formation concentrations, but the averaging process is commonly unknown or difficult to identify. Recognition of the importance of borehole flow has motivated the use of multi-level wells, packers, and well liners; however, LSW&OB remain common for numerous reasons, including cost, multi-purpose design requirements (e.g., pump-and-treat, water supply), logging, and installation of instrumentation. Here, we present a simple analytical model for flow and transport within a well and interaction with the surrounding aquifer. We formulate an inverse problem to estimate formation concentration based on sampled concentrations and data from flowmeter logs. The approach is demonstrated using synthetic examples. Our results (1) underscore the importance of interpreting sampled concentrations within the context of hydraulic conditions and aquifer/well exchange; (2) demonstrate the value of flowmeter measurements for this purpose; and (3) point to the potential of the new inverse approach to better interpret results from samples collected in LSW&OB.
需要新的方法来根据来自长筛管井和裸眼钻孔(LSW&OB)的样本评估污染物质量。在井内存在垂直水流的情况下,对在LSW&OB中采集的浓度样本进行解释会变得复杂。在无抽水(即环境条件)的情况下,由于水头差,井为含水层之间或裂缝之间的水流提供了通道。在抽水条件下,垂直钻孔水流可能会根据远场水头和水力传导率随深度变化;此外,如果抽水未能克服环境梯度,可能会出现从井向含水层的流出。因此,浓度样本代表了地层浓度的流量加权平均值,但平均过程通常是未知的或难以确定的。认识到钻孔水流的重要性促使人们使用多层井、封隔器和井衬;然而,由于成本、多用途设计要求(如抽提处理、供水)、测井以及仪器安装等多种原因,LSW&OB仍然很常见。在此,我们提出了一个关于井内水流和输运以及与周围含水层相互作用的简单分析模型。我们构建了一个反问题,以根据采样浓度和流量计测井数据估算地层浓度。通过合成示例展示了该方法。我们的结果(1)强调了在水力条件和含水层/井交换的背景下解释采样浓度的重要性;(2)证明了流量计测量在此目的上的价值;(3)指出了新的反演方法在更好地解释从LSW&OB采集的样本结果方面的潜力。