Dispersion in Heterogeneous Geological Formations 2001
DOI: 10.1007/978-94-017-1278-1_2
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On Perturbative Expansions to the Stochastic Flow Problem

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Cited by 3 publications
(5 citation statements)
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“…The white noise Gaussian field Z is taken to be piecewise constant on the mesh blocks of this computational grid. We distinguish two discretization errors arising in the numerical evaluation of (34). The first are local errors due to the finite size of the mesh blocks in the computational grid.…”
Section: Numerical Construction Of Stochastic Geologymentioning
confidence: 99%
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“…The white noise Gaussian field Z is taken to be piecewise constant on the mesh blocks of this computational grid. We distinguish two discretization errors arising in the numerical evaluation of (34). The first are local errors due to the finite size of the mesh blocks in the computational grid.…”
Section: Numerical Construction Of Stochastic Geologymentioning
confidence: 99%
“…Given the above form for the deterministic kernel f one may discretize the convolution integral in (34) to obtain # Y Y numerically. To this end we approximate the required integrations by Riemann sums over a computational grid.…”
Section: Numerical Construction Of Stochastic Geologymentioning
confidence: 99%
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“…The bacteria modeled in this study, Desulfomonile tiedjei, is far from spherical and therefore it is better to use a drag force model for non-spherical particles, as provided by Haider and Levenspiel (1989). In this case C~=~(l+b Re~')+ b~Re bd+ Re (5) where the coefficients bl, b2, and b3 (Equations given in Appendix A) are fimctions of the shape factor @= s/S' which is the ratio of the surface areas of a sphere having the same volume as the particle, s, to the actual stiace area of the particle, S. If we consider Desulfomonile tiedjei to be of cylindrical shape, of height five times the diameter of the circular face, then @= 0.7.…”
mentioning
confidence: 99%