2001
DOI: 10.1029/2000wr000133
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Three‐dimensional numerical inversion of pneumatic cross‐hole tests in unsaturated fractured tuff: 1. Methodology and borehole effects

Abstract: Abstract.We

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Cited by 92 publications
(99 citation statements)
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“…De nombreux auteurs estiment que cette approche ne peut pas caractériser l'hétérogénéité du milieu fracturé, si bien que le concept de SER est beaucoup contesté depuis son apparition en sciences hydrologiques (FREEZE, 1975;SMITH ET FREEZE, 1979a, 1979b. Toutefois, une grande partie des études portant sur la modélisation des aquifères de socle est basée sur ce concept (NEUMAN, 1987;BEAR et al, 1993;VESSELINOV et al, 2001aVESSELINOV et al, , 2001bWELLMAN et POETER, 2005, 2006. L'application du concept de SER dans la présente étude a montré quelques limites.…”
Section: Discussionunclassified
“…De nombreux auteurs estiment que cette approche ne peut pas caractériser l'hétérogénéité du milieu fracturé, si bien que le concept de SER est beaucoup contesté depuis son apparition en sciences hydrologiques (FREEZE, 1975;SMITH ET FREEZE, 1979a, 1979b. Toutefois, une grande partie des études portant sur la modélisation des aquifères de socle est basée sur ce concept (NEUMAN, 1987;BEAR et al, 1993;VESSELINOV et al, 2001aVESSELINOV et al, , 2001bWELLMAN et POETER, 2005, 2006. L'application du concept de SER dans la présente étude a montré quelques limites.…”
Section: Discussionunclassified
“…Another approach is the pilot point method, which is applied as a parameterization technique for reducing the number of unknown parameters to estimate by evaluating the model parameters only at few key-locations in the aquifer (called pilot points) where the values of the transmissivity can be assessed to fit the hydraulic head measurements via deterministic or stochastic optimization processes [16,36,37,55]. The full spatial field is obtained by geostatistical interpolation (kriging) of the values of the transmissivity at the pilot points by assuming a cross-covariance function.…”
Section: Introductionmentioning
confidence: 99%
“…Additional elements of the calibration process include geostatistical interpolation of log 10 k and log 10 / via kriging (GSTAT; Pebesma and Wesseling 1998) and a posteriori averaging of pressure at grid nodes along packed-off pressure monitoring intervals. Details of the simulation grid, the airflow equation and its solution can be found in Vesselinov et al (2001a); here we merely mention that the upper boundary condition was set to constant barometric pressure; monitoring intervals in which observed pressure showed a clear influence of atmospheric pressure fluctuations are not considered in the analysis. We parameterize log 10 k and log 10 / geostatistically and estimate their values by inverse calibration at selected pilot points (de Marsily et al 1984).…”
Section: Calibration Of Airflow Modelsmentioning
confidence: 99%