Conetividade e modelos de transporte de domínio único/duplo: experiências num análogo de um aquífero de depósitos de meandro/canal

Dell’Arciprete, D.; Vassena, Chiara; Baratelli, Fulvia; Giudici, M.; Bersezio, R.; Felletti, Fabrizio

doi:10.1007/s10040-014-1105-5

Cited by 12 publications

(8 citation statements)

References 48 publications

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“…The general applicability of these relationships has been challenged by several studies (Adams & Gelhar, ; Cortis & Berkowitz, ; Gómez‐Hernández & Wen, ; Lee et al, ; Liu et al, ; Molinari et al, ; Sánchez‐Vila et al, ; Tompson et al, ; Wen & Gómez‐Hernández, ; Zheng et al, ; Zheng & Gorelick, ; Zinn & Harvey, ), showing that the stochastic approach may be especially questionable in highly heterogeneous aquifers in which the K field structure is characterized by connected features of extreme values. This type of structure cannot be adequately represented by a MVN field (Journel & Deutsch, ), as connected features exert a strong control on groundwater flow and transport behavior in alluvial systems (Anderson, ; Bianchi et al, ; Bianchi & Zheng, ; Davies & Gibling, ; de Marsily et al, ; Dell'Arciprete et al, ; Fogg, ; Fogg et al, ; Fogg & Zhang, ; Weissmann et al, ).…”

Section: Introductionmentioning

confidence: 99%

An Entrogram‐Based Approach to Describe Spatial Heterogeneity With Applications to Solute Transport in Porous Media

Bianchi

Pedretti

2018

Water Resources Research

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The recently introduced geological entropy concept evaluates spatial order/disorder in the structure of the hydraulic conductivity (K) field to explain and predict certain characteristics of transport behavior. This concept is expanded in this work by introducing a novel tool for spatial analysis called entrogram from which a metric called entropic scale (HS) can be calculated to measure the overall persistency of patterns of spatial association in a distributed field and to allow robust comparisons between different spatial structures. The entrogram and the entropic scale concepts are applied here to investigate the link between solute transport behavior and the spatial structure of K fields modeled as the distribution of three hydrofacies in alluvial aquifers. Accurate empirical relationships are found between HS and key transport quantities confirming the clear correlation between transport and the structure of the K field described in terms of its entropic scale. The entrogram analysis is also applied to continuous 2‐D and 3‐D fields having identical lognormal K distributions, but with different connectivity. Comparisons between the entrograms and the calculated HS values for these fields, as well as for their corresponding flow velocity distributions, shed light on the key differences among these structures in 2‐D and in 3‐D, which in turn explain their dissimilar impact on solute transport. The entrogram‐based interpretation of the transport simulations seems to confirm that the geological entropy is a promising approach for predicting solute transport behavior simply from a description of the K field heterogeneity.

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Section: Introductionmentioning

confidence: 99%

An Entrogram‐Based Approach to Describe Spatial Heterogeneity With Applications to Solute Transport in Porous Media

Bianchi

Pedretti

2018

Water Resources Research

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“…For nonreactive tracers, non‐Fickian transport is observed in aquifers characterized by sharp contrasts in hydraulic conductivity ( K ) and by connectivity of high‐ K regions [ Zheng and Gorelick , ; Liu et al ., ; Klise et al ., ; Bianchi et al ., ; Zhang et al ., ], which are commonly found in alluvial aquifers [e.g., Fogg , ; Webb and Anderson , ; Fogg et al ., ; LaBolle and Fogg , ; Baratelli et al ., ; Dell'Arciprete et al ., ]. The inability of the Fickian approach to describe transport in such environments is explained by the fact that the travel distance required to reach asymptotic or scale‐independent conditions for macroscopic Fickian dispersion is larger than the actual scale of the observed plumes [ Eggleston and Rojstaczer , ; Berkowitz et al ., ; Neuman and Tartakovsky , ; Srinivasan et al ., ; Molz , ].…”

Section: Introductionmentioning

confidence: 99%

A lithofacies approach for modeling non‐Fickian solute transport in a heterogeneous alluvial aquifer

Bianchi

Chen

2016

Water Resources Research

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“…However, several studies (e.g., Harter ; Guin and Ritzi ) analyze the relationship between the geological structure and the percolation threshold to demonstrate that percolation depends on the spatial characteristics of geological facies. The percolation threshold may occur at a much lower sand proportion when for example elongated connected geobodies are considered (Dell'Arciprete et al ). In a naturally deposited channel belt, the preferential flow paths may be due to connected gravels placed in different strata (Guin et al ; Ramanathan et al ).…”

Section: Introductionmentioning

confidence: 99%

Influence of Alluvial Morphology on Upscaled Hydraulic Conductivity

et al. 2015

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The hydraulic conductivity of aquifers is a key parameter controlling the interactions between resource exploitation activities, such as unconventional gas production and natural groundwater systems. Furthermore, this parameter is often poorly constrained by typical data used for regional groundwater modeling and calibration studies performed as part of impact assessments. In this study, a systematic investigation is performed to understand the correspondence between the lithological descriptions of channel-type formation and the bulk effective hydraulic conductivities at a larger scale (Kxeff , Kyeff , and Kzeff in the direction of channel cross section, along the channel and in the vertical directions, respectively). This will inform decisions on what additional data gathering and modeling of the geological system can be performed to allow the critical bulk properties to be more accurately predicted. The systems studied are conceptualized as stacked meandering channels formed in an alluvial plain, and are represented as two facies. Such systems are often studied using very detailed numerical models. The main factors that may influence Kxeff , Kyeff , and Kzeff are the proportion of the facies representing connected channels, the aspect ratio of the channels, and the difference in hydraulic conductivity between facies. Our results show that in most cases, Kzeff is only weakly dependent on the orientations of channelized structures, with the main effects coming from channel aspect ratio and facies proportion.

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Conetividade e modelos de transporte de domínio único/duplo: experiências num análogo de um aquífero de depósitos de meandro/canal

Cited by 12 publications

References 48 publications

An Entrogram‐Based Approach to Describe Spatial Heterogeneity With Applications to Solute Transport in Porous Media

An Entrogram‐Based Approach to Describe Spatial Heterogeneity With Applications to Solute Transport in Porous Media

A lithofacies approach for modeling non‐Fickian solute transport in a heterogeneous alluvial aquifer

Influence of Alluvial Morphology on Upscaled Hydraulic Conductivity

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