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Fuel Processing Technology
Article . 2015 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Modeling of contaminant migration through porous media after underground coal gasification in shallow coal seam

Authors: Soukup, K. (Karel); Hejtmánek, V. (Vladimír); Čapek, P.; Stanczyk, K.; Šolcová, O. (Olga);

Modeling of contaminant migration through porous media after underground coal gasification in shallow coal seam

Abstract

The migration rates of representative underground coal gasification (UCG) related products and contaminants through porous surroundings of a georeactor in a shallow coal seam in gaseous and liquid phases were studied in this work. The proposed comprehensive model, taking into account mass transport phenomena both in gaseous and liquid phase, was based on the real data obtained during the UCG field-scale study carried out at the Experimental Mine “Barbara” in Poland in the framework of the RFCS Project HUGE (2007–2010). The mass transport from the reaction zone was modeled by means of constitutive equations, in gas phase permeation, in liquid phase advection, axial dispersion, diffusion, and adsorption. The applied input values of parameters were based on results from previous pilot experiments. The effects of pore size, porosity, tortuosity, and reaction conditions on the migration rate were individually evaluated and taken into account. The contamination risk for aquifers and potential leakage of poisonous gases and their environmental impact were assessed and thoroughly discussed. It was found that porosity, pore diameter and tortuosity, which belong to the key transport parameters, play a major role in overall permeation transport of gaseous contaminants compared with physical characteristics—pressure and temperature. Migration rates of UCG-related contaminants in the liquid phase are significantly slower compared with the gaseous phase.

Country
Czech Republic
Keywords

transport parameters, transport phenomena modeling, underground coal gasification

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
26
Top 10%
Top 10%
Top 10%
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