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Quantifying flow and remediation zone uncertainties for partially opened wells in heterogeneous aquifers

机译:定量分析非均质含水层中部分开放井的流量和修复区不确定性

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摘要

This study presents a numerical first-order spectral model to quantifytransient flow and remediation zone uncertainties for partially opened wellsin heterogeneous aquifers. Taking advantages of spectral theories in solvingunmodeled small-scale variability in hydraulic conductivity (K), thepresented nonstationary spectral method (NSM) can efficiently estimate flowuncertainties, including hydraulic heads and Darcy velocities in r- andz-directions in a cylindrical coordinate system. The velocity uncertaintiesassociated with the particle backward tracking algorithm are then used toestimate stochastic remediation zones for scenarios with partially openedwell screens. In this study the flow and remediation zone uncertaintiesobtained by NSM were first compared with those obtained by Monte Carlosimulations (MCS). A layered aquifer with different geometric mean of K andscreen locations was then illustrated with the developed NSM. To compare NSMflow and remediation zone uncertainties with those of MCS, three differentsmall-scale K variances and correlation lengths were considered forillustration purpose. The MCS remediation zones for different degrees ofheterogeneity were presented with the uncertainty clouds obtained by 200equally likely MCS realizations. Results of simulations reveal that thefirst-order NSM solutions agree well with those of MCS for partially openedwells. The flow uncertainties obtained by using NSM and MCS show identicallyfor aquifers with small ln K variances and correlation lengths. Based on thetest examples, the remediation zone uncertainties (bandwidths) are notsensitive to the changes of small-scale ln K correlation lengths. However,the increases of remediation zone uncertainties (i.e. the uncertaintybandwidths) are significant with the increases of small-scale ln K variances.The largest displacement uncertainties may have several meters ofdifferences when the ln K variances increase from 0.1 to 1.0. Suchconclusions are also valid for the estimations of remediation zones inlayered aquifers.
机译:这项研究提出了一种数值一阶谱模型,以量化非均质含水层中部分开放井的瞬变流量和修复区的不确定性。利用频谱理论来解决水力传导率( K )的无模型小规模变化问题,提出的非平稳频谱方法(NSM)可以有效地估计流量不确定性,包括 r 中的水头和达西速度。圆柱坐标系中的i>-和 z 方向。然后,将与粒子后向跟踪算法相关的速度不确定性用于估计具有部分张开井筛的场景的随机补救区。在这项研究中,首先将由NSM获得的流量和修复区不确定性与由Monte Carlosimulations(MCS)获得的不确定性进行了比较。然后用已开发的NSM说明了具有不同 K 几何均值和屏幕位置的分层含水层。为了比较NSMflow和补救区的不确定性与MCS的不确定性,出于说明目的考虑了三个不同的小规模 K 方差和相关长度。提出了针对不同异质性程度的MCS补救区,以及通过200种可能的MCS实现获得的不确定性云。仿真结果表明,对于部分开放井,一阶NSM解决方案与MCS解决方案非常吻合。对于较小的ln K 方差和相关长度的含水层,使用NSM和MCS获得的流量不确定性相同。根据测试实例,修复区的不确定性(带宽)对小尺度ln K 相关长度的变化不敏感。但是,随着小规模ln K 方差的增加,修复区不确定性(即不确定性带宽)的增加是显着的。当ln K <时,最大位移不确定性可能有几米的差异。 / i>方差从0.1增加到1.0。这样的结论对于层状含水层的治理区域的估计也是有效的。

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