From well-test data to input to stochastic continuum models: effect of the variable support scale of the hydraulic data

Odén, Magnus; Niemi, Auli

doi:10.1007/s10040-006-0063-y

Cited by 11 publications

(2 citation statements)

References 29 publications

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“…For each of these scenarios, conduits will be simulated in a 2D finite difference code with a telescoping grid similar to the approaches of Oden and Niemi (2006), Tumlinson et al (2006), and Willmann et al (2007). This discritization scheme uses finer spacing at the pumping well with increasing block size as distance from the pumping well increases, allowing for greater computational efficiency.…”

Section: Approachmentioning

confidence: 99%

Generalized Radial Flow in Synthetic Flow Systems

Bowman¹,

Roberts²,

Holt

2012

Groundwater

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Traditional analysis methods used to determine hydraulic properties from pumping tests work well in many porous media aquifers, but they often do not work in heterogeneous and fractured-rock aquifers, producing non-plausible and erroneous results. The generalized radial flow model developed by Barker (1988) can reveal information about heterogeneity characteristics and aquifer geometry from pumping test data by way of a flow dimension parameter. The physical meaning of non-integer flow dimensions has long been a subject of debate and research. We focus on understanding and interpreting non-radial flow through high permeability conduits within fractured aquifers. We develop and simulate flow within idealized non-radial flow conduits and expand on this concept by simulating pumping in non-fractal random fields with specific properties that mimic persistent sub-radial flow responses. Our results demonstrate that non-integer flow dimensions can arise from non-fractal geometries within aquifers. We expand on these geometric concepts and successfully simulate pumping in random fields that mimic well-test responses seen in the Culebra Dolomite above the Waste Isolation Pilot Plant.

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Section: Approachmentioning

confidence: 99%

Generalized Radial Flow in Synthetic Flow Systems

Bowman¹,

Roberts²,

Holt

2012

Groundwater

View full text Add to dashboard Cite

show abstract

“…Moreover, because of the multiscale nature of geological media (Neuman and Di Federico, 2003), estimated effective values strongly depend on the volume of the aquifer investigated -also known as the support scale or support volume -and hence on the measurement method. For instance, it has been observed in a variety of aquifers that measured K values tend to increase with the support volume (Martinez-Landa and Odén and Niemi, 2006;Rovey and Cherkauer, 1995;Schulze-Makuch et al, 1999). A further challenge is that estimated values are usually obtained from the solution of an inverse problem in which the objective is to minimize the error between measured values of the state variables (i.e.…”

Section: Introductionmentioning

confidence: 99%