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Article

Validity of Linearized Colmation Models for Methane Migration and Smart Ventilation Design in Underground Mines

Faculty of Civil Engineering and Resource Management, AGH University of Krakow, 30-059 Krakow, Poland
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Author to whom correspondence should be addressed.
Appl. Sci. 2026, 16(8), 3765; https://doi.org/10.3390/app16083765 (registering DOI)
Submission received: 20 February 2026 / Revised: 5 April 2026 / Accepted: 6 April 2026 / Published: 12 April 2026

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The obtained findings provide a quantitative foundation for predictive modeling of methane migration and permeability evolution, supporting the development of smart ventilation systems, methane emission mitigation strategies, and digital mine-environment models. Consequently, the proposed approach contributes to improved mine safety, reduced greenhouse gas emissions, and data-driven decision-making processes that support the just transition of the mining sector.

Abstract

Colmation phenomena play a critical role in long-term gas flow through porous media, significantly influencing methane migration, mine ventilation efficiency, and emission control in both active and abandoned coal mines. In colmation modeling, three fundamental kinetic types are commonly distinguished, with the third kinetic providing a generalized nonlinear formulation capable of describing state-dependent and spatially variable permeability degradation. However, the strong nonlinearity of the coupled transport–colmation equations prevents the derivation of closed-form solutions, which necessitates the application of linearization techniques. In this study, gas flow with colmation governed by third-kinetics is analyzed with particular emphasis on methane migration in underground mining environments. Linearization of nonlinear kinetic terms is applied at the level of the coupled mass balance and colmation equations, resulting in an approximate form of Darcy’s law and an explicit analytical solution describing the evolution of the porous medium state. The primary objective of the study is to quantify the error introduced by the adopted linearization and to analyze its spatial and temporal propagation with respect to the nonlinear reference solution. A rigorous error estimation based on Taylor series truncation is developed, yielding an explicit criterion that defines the validity range of the linearized solution. The results demonstrate that the approximation remains reliable within the regime of weak colmation, while the associated error is locally generated and propagates through transport mechanisms without exhibiting uncontrolled growth.
Keywords: methane migration; methane mitigation; smart ventilation; colmation modeling; underground coal mining; emission control; digital mine models; just transition methane migration; methane mitigation; smart ventilation; colmation modeling; underground coal mining; emission control; digital mine models; just transition

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MDPI and ACS Style

Filipek, W.; Broda, K.; Tora, B. Validity of Linearized Colmation Models for Methane Migration and Smart Ventilation Design in Underground Mines. Appl. Sci. 2026, 16, 3765. https://doi.org/10.3390/app16083765

AMA Style

Filipek W, Broda K, Tora B. Validity of Linearized Colmation Models for Methane Migration and Smart Ventilation Design in Underground Mines. Applied Sciences. 2026; 16(8):3765. https://doi.org/10.3390/app16083765

Chicago/Turabian Style

Filipek, Wiktor, Krzysztof Broda, and Barbara Tora. 2026. "Validity of Linearized Colmation Models for Methane Migration and Smart Ventilation Design in Underground Mines" Applied Sciences 16, no. 8: 3765. https://doi.org/10.3390/app16083765

APA Style

Filipek, W., Broda, K., & Tora, B. (2026). Validity of Linearized Colmation Models for Methane Migration and Smart Ventilation Design in Underground Mines. Applied Sciences, 16(8), 3765. https://doi.org/10.3390/app16083765

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