Effects of ageing on the hydraulics of water wells and the influence of non-Darcy flow

Houben, Georg; Wachenhausen, Julia; Morel, Carlos R. Guevara

doi:10.1007/s10040-018-1775-5

Cited by 17 publications

(21 citation statements)

References 16 publications

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“…material itself. Houben et al (2018) stated that reduction in porosity in the gravel pack by clogging could have a significant influence on nonlinear head losses during well operation. Besides well hydraulics, the influence of nonlinear flow behavior through natural granular materials is important for analyzing slug tests in highly permeable sandy aquifers of K > 50 m/d (McElwee and Zenner 1998), as well as for analyzing packer test data (e.g., Yamada et al 2005).…”

Section: Introductionmentioning

confidence: 99%

Nonlinear Flow Behavior in Packed Beds of Natural and Variably Graded Granular Materials

et al. 2019

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Under certain flow conditions, fluid flow through porous media starts to deviate from the linear relationship between flow rate and hydraulic gradient. At such flow conditions, Darcy's law for laminar flow can no longer be assumed and nonlinear relationships are required to predict flow in the Forchheimer regime. To date, most of the nonlinear flow behavior data is obtained from flow experiments on packed beds of uniformly graded granular materials (C u = d 60 /d 10 < 2) with various average grain sizes, ranging from sands to cobbles. However, natural deposits of sand and gravel in the subsurface could have a wide variety of grain size distributions. Therefore, in the present study we investigated the impact of variable grain size distributions on the extent of nonlinear flow behavior through 18 different packed beds of natural sand and gravel deposits, as well as composite filter sand and gravel mixtures within the investigated range of uniformity (2.0 < C u < 17.35) and porosity values (0.23 < n < 0.36). Increased flow resistance is observed for the sand and gravel with high C u values and low porosity values. The present study shows that for granular material with wider grain size distributions (C u > 2), the d 10 instead of the average grain size (d 50) as characteristic pore length should be used. Ergun constants A and B with values of 63.1 and 1.72, respectively, resulted in a reasonable prediction of the Forchheimer coefficients for the investigated granular materials.

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Section: Introductionmentioning

confidence: 99%

Nonlinear Flow Behavior in Packed Beds of Natural and Variably Graded Granular Materials

et al. 2019

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“…This difference in the hydraulic permeability coefficient values was found to be due to the different gravel zone thicknesses in the wells. The flow regime can be determined by calculating the Reynolds number, which is determined using the following expression [4,18,19]:…”

Section: Figure 4 -Methods Of Application Of Darcy's Law In Well Typesmentioning

confidence: 99%

Effect of the Gravel Zone Thickness Created in the Deep Well Test Simulation on the Operating Characteristics of the Pump and Head Loss

2021

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This study was conducted in a deep well simulator used for typical irrigation studies. In this work, the changes in the pump flow rate, drawdown, noise level, and pump pressures were analyzed for three different gravel zone thicknesses used in the well.From the study, it was found that a high gravel zone thickness increased the well's drawdown levels during pumping. For drawdown values of 40, 45, 50 and 55 m 3 h -1 , an increase in the gravel thickness by 10 cm increased these values by 2.92, 2.41, 2.38 and 2.37 times, respectively. When the gravel thickness was doubled (from 5 cm to 10 cm), the hydraulic conductivity decreased by about half and head loss doubled. As a result, gravel thickness directly affected the drawdown rate of the pump. It was shown that different drawdown values resulting due to different gravel thicknesses should be taken into consideration when placing the pump in a deep well.

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“…Addressing the issues raised in the present manuscript is a prerequisite for the calculation of pressure drop or volumetric Cow rate (m 3 /s) in order to plan and construct any earthen and rock structures (Hansen 1992;Siddiqua et al 2011;Ferdos et al 2015). Furthermore, understanding of Cow through porous media can be useful in solving a wide range of applications related to the estimation of discharge from aquifers (Fang and Zhu 2018;Houben et al 2018), oil and gas exploration (Holditch and Morse 1976;Vincent et al 1999), problems associated with packed and Cuidized bed reactors (Mandal et al 2013;Mandal 2015), Cow through fractured medium (Wu 2002;Wen et al 2006), Cow through geotextiles and geomembranes (Lacey 2016), subsea tunnelling (Lai et al 2018;Li et al 2019;Zhang et al 2020), etc.…”

Section: Introductionmentioning

confidence: 98%

“…Applicability of this equation depends on the modelling accuracy of the Darcy and non-Darcy coefBcients. Extensive experimental studies have been reported in the literature on the behaviour of these coefBcients with different parameters such as media size (Huang et al 2013;Salahi et al 2015;van Lopik et al 2017), degree of packing (Boomsma and Poulikakos 2002;Dan et al 2016;Houben et al 2018), grain size distribution (van Lopik et al 2020), convergent angle (Thiruvengadam and Kumar 1997;Venkataraman and Rao 2000;Rao 2004, 2006;Pasupuleti et al 2014;, pore geometry (Macini et al 2011;Shao et al 2020) Reynolds number (Sidiropoulou et al 2007), maximum pore diameter (Huang et al 2020), etc.…”

Section: Introductionmentioning

confidence: 99%

Influence of fluid viscosity and flow transition over non-linear filtration through porous media

et al. 2021

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The present study investigates two important though relatively unexplored aspects of non-linear Bltration through porous media. The Brst aspect is the inCuence of viscosity variation over the coefBcients of the governing equations used for modelling non-linear Bltration through porous media. Velocity and hydraulic gradient data obtained for a wide range of Cuid viscosities (8.03E-07 to 3.72E-05 N/m 2 ) were studied. An increase in Cuid viscosity resulted in an increased pressure loss through packing which can be quantiBed using the coefBcients of the governing equations. CoefBcients of Forchheimer equation represent linearly increasing trend with the kinematic viscosity. On the other hand, coefBcient of Wilkins equation represents similar values for different Cuid viscosities and remained unaffected by the variation in packing properties. Obtained data were utilized to understand the nature of Cow transition in porous media. Behaviour of polynomial and Power-law coefBcient with variation in Cow velocity were also examined. Critical Reynolds number corresponding to the deviation of Cow from Darcy regime varies with the porous packing and was observed to be in the range of 0-100. CoefBcients of polynomial (Forchheimer) model were observed to be independent of the range of Cow velocity, whereas the Power law coefBcients are extremely sensitive to the data.

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Effects of ageing on the hydraulics of water wells and the influence of non-Darcy flow

Cited by 17 publications

References 16 publications

Nonlinear Flow Behavior in Packed Beds of Natural and Variably Graded Granular Materials

Nonlinear Flow Behavior in Packed Beds of Natural and Variably Graded Granular Materials

Effect of the Gravel Zone Thickness Created in the Deep Well Test Simulation on the Operating Characteristics of the Pump and Head Loss

Influence of fluid viscosity and flow transition over non-linear filtration through porous media

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