Effects of surface roughness on the kinetic interface-sensitive tracer transport during drainage processes

Gao, Huhao; Tatomir, A.B.; Karadimitriou, Nikolaos; Steeb, Holger; Sauter, Martin

doi:10.1016/j.advwatres.2021.104044

Cited by 9 publications

(7 citation statements)

References 58 publications

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“…This observation is not in conflict with the results from this study, since the majority of total specific interfacial area is associated with films, and is highly dependent on the solid surface area and the grain size. On the smooth surfaces of glass beads, the adsorbed water film (with a thickness of only a few molecules) depletes fast due to the hydrolysis reaction with the tracer (Gao et al., 2023), and therefore these water films contribute very little to the overall results. In this case, the KIS tracer method excludes the film‐associated interfacial area and only measures the capillary‐associated FIFA.…”

Section: Resultsmentioning

confidence: 99%

“…The pore‐scale study by Gao et al. (2021b) showed that the bursting process during Haines jumps induced by rough grain surfaces can significantly increase the capillary‐associated (mobile) FIFA at the front. Besides, this finding is also in agreement with Brusseau et al.…”

Section: Resultsmentioning

confidence: 99%

“…This is attributed to the rough surfaces of the natural sands. The pore-scale study by Gao et al (2021b) showed that the bursting process during Haines jumps induced by rough grain surfaces can significantly increase the capillary-associated (mobile) FIFA at the front. Besides, this finding is also in agreement with Brusseau et al (2009) and consistent with the results of Araujo and Brusseau (2020) for measurements at the steady-state.…”

Section: Comparison Of Measured Interfacial Area With Literature Datamentioning

confidence: 99%

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Estimation of Capillary‐Associated NAPL‐Water Interfacial Areas for Unconsolidated Porous Media by Kinetic Interface Sensitive (KIS) Tracer Method

Tatomir,

Gao,

Abdullah

et al. 2023

Water Resources Research

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By employing kinetic interface sensitive (KIS) tracers, we investigate three different types of glass‐bead materials and three natural porous media systems to quantitatively characterize the influence of the porous‐medium grain‐, pore‐size and texture on the specific capillary‐associated interfacial area (FIFA) between an organic liquid and water. By interpreting the breakthrough curves (BTCs) of the reaction product of the KIS tracer hydrolysis, we obtain a relation for the specific IFA and wetting phase saturation. The immiscible displacement process coupled with the reactive tracer transport across the fluid–fluid interface is simulated with a Darcy‐scale numerical model. Linear relations between the specific capillary‐associated FIFA and the inverse mean grain diameter can be established for measurements with glass beads and natural soils. We find that the grain size has minimal effect on the capillary‐associated FIFA for unconsolidated porous media formed by glass beads. Conversely, for unconsolidated porous media formed by natural soils, the capillary‐associated FIFA linearly increases with the inverse mean grain diameter, and it is much larger than that from glass beads. This indicates that the surface roughness and the irregular shape of the grains can cause the capillary‐associated FIFA to increase. The results are also compared with the data collected from literature, measured with high resolution microtomography and partitioning tracer methods. Our study considerably expands the applicability range of the KIS tracers and enhances the confidence in the robustness of the method.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Comparison Of Measured Interfacial Area With Literature Datamentioning

confidence: 99%

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Estimation of Capillary‐Associated NAPL‐Water Interfacial Areas for Unconsolidated Porous Media by Kinetic Interface Sensitive (KIS) Tracer Method

Tatomir,

Gao,

Abdullah

et al. 2023

Water Resources Research

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“…in thin slices or with high-resolution 3D micro-tomography). It can also be applied to systems involving experiments and models at the microscopic scale, where individual pores are resolved by appropriate monitoring techniques (e.g., [56]).…”

Section: Discussionmentioning

confidence: 99%

The method of forced probabilities: a computation trick for Bayesian model evidence

et al. 2022

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Bayesian model selection objectively ranks competing models by computing Bayesian Model Evidence (BME) against test data. BME is the likelihood of data to occur under each model, averaged over uncertain parameters. Computing BME can be problematic: exact analytical solutions require strong assumptions; mathematical approximations (information criteria) are often strongly biased; assumption-free numerical methods (like Monte Carlo) are computationally impossible if the data set is large, for example like high-resolution snapshots from experimental movies. To use BME as ranking criterion in such cases, we develop the “Method of Forced Probabilities (MFP)”. MFP swaps the direction of evaluation: instead of comparing thousands of model runs on random model realizations with the observed movie snapshots, we force models to reproduce the data in each time step and record the individual probabilities of the model following these exact transitions. MFP is fast and accurate for models that fulfil the Markov property in time, paired with high-quality data sets that resolve all individual events. We demonstrate our approach on stochastic macro-invasion percolation models that simulate gas migration in porous media, and list additional examples of probable applications. The corresponding experimental movie was obtained from slow gas injection into water-saturated, homogeneous sand in a 25 x 25 x 1 cm acrylic glass tank. Despite the movie not always satisfying the high demands (resolving all individual events), we can apply MFP by suggesting a few workarounds. Results confirm that the proposed method can compute BME in previously unfeasible scenarios, facilitating a ranking among competing model versions for future model improvement.

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“…However, limitations still remain (Or & Tuller, 1999). The main discrepancy between the model results and the experimental data stems from (a) errors from determining the PDF; (b) the unknown shape, packing, and roughness of soil grains (Gao et al., 2021); (c) the change in pore volume for expansive soils is ignored; and (d) the simple binary division between the fully empty and the fully saturated single unit pore. The first two types of errors are unavoidable because of the limitations of the experimental methods assessing the grain size distributions.…”

Section: Pore Unit Systemmentioning

confidence: 99%

Pore‐scale analytic model to calculate the suction stress in partially saturated soils

Zhou

Tatomir

Sauter

2022

Vadose Zone Journal

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The expression of effective stress in unsaturated conditions has remained controversial ever since the concept was first proposed in the 1950s by Bishop. In this paper, based on the first law of thermodynamics, a novel approach is proposed to calculate the effective stress in unsaturated soil systems by applying the improved bundled cylindrical capillary model and the probability density function of soil particles. The proposed model provided an expression for Bishop's effective stress model and Bishop's coefficient χ. The basic assumptions of the model are (a) the water in the unsaturated pores can be divided into capillary water and adsorbed water, and (b) the soil pore network is considered as a rigid body, and the particle structure is unchanged with saturation variation. Published experimental data are compared with Lu's effective stress model and our model results. The findings show that the proposed model performs well over a wide range of saturation conditions for nonexpansive soils, such as sand, and the capillary stage for expansive soils, such as silt, and clay materials.

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Effects of surface roughness on the kinetic interface-sensitive tracer transport during drainage processes

Cited by 9 publications

References 58 publications

Estimation of Capillary‐Associated NAPL‐Water Interfacial Areas for Unconsolidated Porous Media by Kinetic Interface Sensitive (KIS) Tracer Method

Estimation of Capillary‐Associated NAPL‐Water Interfacial Areas for Unconsolidated Porous Media by Kinetic Interface Sensitive (KIS) Tracer Method

The method of forced probabilities: a computation trick for Bayesian model evidence

Pore‐scale analytic model to calculate the suction stress in partially saturated soils

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