On the late‐time behavior of tracer test breakthrough curves
О поведении кривых прорыва трассерных испытаний в поздней стадии
2000-12-01
SCID: 54.1/k7v8nyd4
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asymptotic late-time behaviorpower-law tail (C ∼ t^{-k})rate-limited mass transferresidence time distribution (immobile domain)tracer test breakthrough curves
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Abstract (AI)
We investigated the late‐time (asymptotic) behavior of tracer test breakthrough curves (BTCs) with rate‐limited mass transfer (e.g., in dual‐porosity or multiporosity systems) and found that the late‐time concentration c is given by the simple expression c = t ad { c 0 g − [ m 0 (∂ g /∂ t )]}, for t ≫ t ad and t α ≫ t ad , where t ad is the advection time, c 0 is the initial concentration in the medium, m 0 is the zeroth moment of the injection pulse, and t α is the mean residence time in the immobile domain (i.e., the characteristic mass transfer time). The function g is proportional to the residence time distribution in the immobile domain; we tabulate g for many geometries, including several distributed (multirate) models of mass transfer. Using this expression, we examine the behavior of late‐time concentration for a number of mass transfer models. One key result is that if rate‐limited mass transfer causes the BTC to behave as a power law at late time (i.e., C ∼ t −k ), then the underlying density function of rate coefficients must also be a power law with the form α k−3 as a α → 0. This is true for both density functions of first‐order and diffusion rate coefficients. BTCs with k < 3 persisting to the end of the experiment indicate a mean residence time longer than the experiment, and possibly an infinite residence time, and also suggest an effective rate coefficient that is either undefined or changes as a function of observation time. We apply our analysis to breakthrough curves from single‐well injection‐withdrawal tests at the Waste Isolation Pilot Plant, New Mexico.
Key Findings
1
BTCs with exponent k < 3 persisting through the experiment imply a mean residence time longer than the experiment (possibly infinite) and an effective rate coefficient that is undefined or time-varying.
2
For t ≫ t_ad and t_α ≫ t_ad, late-time concentration c is given by c = t_ad { c0 g − [ m0 (∂g/∂t) ] }, relating BTC asymptotics to g and injection moments.
3
If rate-limited mass transfer produces a late-time power-law BTC C ∼ t^{-k}, the underlying density of rate coefficients must behave as a power law α^{k-3} as α → 0.
4
The power-law relation holds for both first-order and diffusion rate coefficient density functions.
5
The theoretical analysis is applied to single-well injection-withdrawal breakthrough data from the Waste Isolation Pilot Plant, New Mexico.
6
g is proportional to the residence time distribution in the immobile domain, and g is tabulated for many geometries including multirate mass transfer models.
Research Object
Tracer test breakthrough curves (BTCs) in systems with rate-limited mass transfer (dual-porosity/multirate/multiporosity systems), including single-well injection–withdrawal tests
Research Subject
Late-time (asymptotic) behavior of BTC concentrations under rate-limited mass transfer: analytic expression c(t), dependence on residence time distribution g and parameters (t_ad, t_α, c0, m0), conditions producing power-law tails (C ∼ t^−k), implications for underlying rate-coefficient density (∼α^{k−3}), mean/infinite residence times, and interpretation of field single-well test data
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2000-12-01
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