Theoretical aspects for estimating anisotropic saturated hydraulic conductivity from in-well or direct-push probe injection tests in uniform media

Klammler, Harald; Layton, Leif; Nemer, Bassel; Hatfield, Kirk; Mohseni, Ana Paula Vianna

doi:10.1016/j.advwatres.2017.04.010

Cited by 7 publications

(7 citation statements)

References 45 publications

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“…These wells have the peculiarity-their flow rate and drawdown simultaneously monotonously reduce over time, and formation of their flow rate is equally influenced either by hydrogeological parameters of the aquifer or parameters of the wells themselves [5].…”

Section: Methodsmentioning

confidence: 99%

Determining the Transmissivity of the Artesian Aquifer By the test Data of the Flowing Wells

Aloyan

2020

BJSTR

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The article considers the method of determining the transmissivity of the artesian confined aquifer by using the results of the flow measurement of the flowing wells that were conducted at two different time intervals. The suggested method is based on the design formula which has been earlier got by the author for the single flowing well. Herein the complexities are overcome which are associated with the monotone reduction of the flows and pressures of such wells over time, and also hydraulic resistances generating in them. The checkup of the suggested method by the data of the field observations has yielded satisfactory results.

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Section: Methodsmentioning

confidence: 99%

Determining the Transmissivity of the Artesian Aquifer By the test Data of the Flowing Wells

Aloyan

2020

BJSTR

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“…To resolve the ratio of horizontal to vertical hydraulic conductivity, different field methods have been investigated. Klammler et al (2017) proposed a shape factor to estimate the bulk hydraulic anisotropy from measurements obtained with the direct-push permeameter but without considering the vertical variability of hydraulic conductivity. The tomographic slug test proposed and tested by Paradis et al (2015Paradis et al ( , 2016 in a littoral aquifer seems to be more appropriate for resolving hydraulic anisotropy induced by heterogeneities at smaller scales, also in the horizontal direction, e.g., from cross-bedding.…”

Section: Introductionmentioning

confidence: 99%

Revealing vertical aquifer heterogeneity and hydraulic anisotropy by pumping partially penetrating wells

et al. 2022

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The stratification of sedimentary aquifers introduces spatial variability in hydraulic conductivity, primarily between individual horizontal layers. On larger scales, the vertical heterogeneity enhances hydraulic anisotropy, with the horizontal conductivity typically exceeding the vertical one. In this study, the hydraulic anisotropy of a stratified aquifer is estimated from data of hydraulic tests in which water is sequentially extracted from well sections screened at different depths, and the hydraulic response is measured at various multilevel observation wells. The applicability of the method is demonstrated by field tests in a fluvial gravel aquifer in the Upper Rhine Valley, Germany. A homogeneous anisotropic model, and models with three and five anisotropic layers, are fitted to the measured drawdowns in the steady-shape regime, in which differences in hydraulic head between observation locations do not change over time even though the head values themselves change. The position of the five horizontal layers is based on the lithology of the drilling profile at the pumping-well location. The three-layer model is achieved by merging insensitive or similar layers with sensitive layers. The fits result in estimates of the radial and vertical hydraulic conductivities for all layers of the respective models, which are upscaled to effective parameters over the entire depth in the case of the multilayer models. The homogeneous model shows significantly higher errors than those of the heterogeneous models. The heterogeneous locally anisotropic models not only reveal vertical variability of hydraulic conductivity, but also lead to a three-times larger anisotropy ratio upon upscaling.

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“…Information on the directional dependence of hydraulic conductivity is relevant in various hydrogeological applications including the design of remediation systems, the determination of well capture zone geometries considering partially penetrating wells, and the prediction of contaminant plume spreading, among others (e.g., Bair & Lahm, 1996; Klammler et al, 2017; Paradis et al, 2016; Paradis & Lefebvre, 2013; Riva et al, 2006). On regional scales, the stratified character of fluvial deposits can induce anisotropy ratios of up to 100 (Freeze & Cherry, 1979).…”

Section: Introductionmentioning

confidence: 99%

“…A frequently applied approach for resolving three‐dimensional subsurface heterogeneity with emphasis on the horizontal variability of K is the approach of hydraulic tomography (e.g., Bohling, 2009; Bohling et al, 2007; Sánchez‐León et al, 2016). Various studies have addressed the challenge of resolving the vertical variability of K in aquifers using hydrogeological investigation techniques such as direct‐push injection logging or the direct‐push in situ permeameter (e.g., Bohling et al, 2012, 2016; Chen et al, 2008, 2010; Klammler et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Joint Optimization of Measurement and Modeling Strategies With Application to Radial Flow in Stratified Aquifers

Maier

González‐Nicolás

Leven

et al. 2020

Water Resources Research

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When applying environmental models, the choice of model complexity and the design of field campaigns depend on each other and on the modeling/prediction goal. We propose jointly optimizing model complexity and data collection (design) by maximizing the expected performance for the modeling goal. We use ensembles of highly resolved virtual realities and of less complex modeling variants that differ in their degrees of upscaling and simplified parameterization. For each design under consideration, we simulate hypothetical measurement data (subject to noise) with all realizations of all models. To mimic model calibration with hypothetical data, we identify pairs of best fitting realizations between virtual reality and each model variant for each design. Then, we emulate model choice by selecting (across the model variants, for each design and for each virtual reality) the pair that shows the best predictive match in the modeling goal. Finally, we identify the model/design combination that offers, on average over all virtual realities, the best predictive match. As a test application, we consider a heterogeneous, stratified aquifer, in which the stratification enhances hydraulic anisotropy on the macroscale. We define two different modeling goals: (a) estimating the hydraulic conductivity tensor upscaled to the full aquifer thickness and (b) predicting the pumping rate needed to dewater a construction pit. Our results indicate that jointly optimizing observation networks and model selection can reduce the prediction uncertainty of parameters at lower experimental costs. We also show that the involved trade‐offs between model complexity and required design depend on the target quantity.

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Theoretical aspects for estimating anisotropic saturated hydraulic conductivity from in-well or direct-push probe injection tests in uniform media

Abstract: 2017-08-25T16:28:48

Cited by 7 publications

References 45 publications

Determining the Transmissivity of the Artesian Aquifer By the test Data of the Flowing Wells

Determining the Transmissivity of the Artesian Aquifer By the test Data of the Flowing Wells

Revealing vertical aquifer heterogeneity and hydraulic anisotropy by pumping partially penetrating wells

Joint Optimization of Measurement and Modeling Strategies With Application to Radial Flow in Stratified Aquifers

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