The motivation for the work stems from two of the most consequential applications of coal gas science. Gas diffusion behavior in coal particles underpins the development of coalbed methane, an increasingly important energy resource, and it also governs how quickly methane can desorb from freshly exposed coal during mining operations, which is central to predicting and preventing gas outbursts and explosions in underground mines. Because laboratory measurements of gas desorption are usually performed on crushed particles, the mathematical interpretation of those measurements depends directly on the assumed particle geometry. If that geometry is wrong, every diffusion coefficient extracted from the data inherits the error.

To confront the problem, the team began not with equations but with images. They obtained two-dimensional contours of real coal particles and extracted quantitative shape parameters, allowing them to characterize particle morphology across different scales in a statistically meaningful way. The results were unambiguous about the gap between idealization and reality. Coal particles exhibited median roundness values of 0.73 to 0.80, well below the value of 1.0 that a perfect circle would show, and median axial ratios ranging from 1.34 to 1.49, meaning the particles are substantially longer in one direction than another. Taken together, these measurements indicate that the actual particle shape is much closer to an ellipsoid than to a sphere.

That distinction might sound like a matter of academic pedantry, but the mathematics of diffusion is acutely sensitive to boundary geometry. In the standard spherical model, derived from the classical analytical framework established by Crank in 1975, gas molecules are assumed to diffuse radially inward from a spherical surface toward the center, with the surface-to-volume ratio determined entirely by the particle radius. An ellipsoid has a different distribution of distances between its surface and its interior, with shorter diffusion path lengths along the minor axis and longer ones along the major axis. As a result, the characteristic time for gas to escape from, or enter, an ellipsoidal particle differs from that of a sphere of equivalent volume, and the magnitude of that difference scales with how elongated the particle actually is.

The researchers coupled this geometric insight with a rigorous experimental and computational pipeline. They performed gas desorption experiments on coal particles and then used numerical forward modeling together with parameter optimization to infer the diffusion coefficients that best explained the observed desorption data. Crucially, they ran this inversion twice, once with a spherical model and once with an ellipsoidal model, so that the two geometric frameworks could be compared head to head against identical experimental evidence. This design isolates the effect of particle shape on the estimated diffusion coefficient, which is precisely the quantity that previous studies had left insufficiently quantified.

The evolution laws of the diffusion coefficients and gas pressures were then analyzed across varying particle sizes and adsorption pressures, revealing a consistent pattern. The spherical model generally overestimates gas diffusion coefficients and diffusion rates relative to the ellipsoidal model. More importantly, the deviation is not constant. It grows under lower adsorption pressures and for larger particle sizes, and in the most extreme case examined, the difference between the two models reached 8.94 × 10⁻¹³ m²/s. This means that engineers using spherical assumptions in low-pressure or coarse-particle conditions, which are common in field-relevant scenarios, would systematically misjudge how fast methane is released from the coal matrix.

Why does this systematic bias arise? Physically, the elongation of coal particles changes the effective diffusion path network within each grain. A sphere of equivalent volume concentrates its interior points at larger average distances from the surface than an ellipsoid does along its short axes, and the inversion of desorption data compensates for the mismatched geometry by inflating the fitted diffusion coefficient. In practical terms, a spherical model forces the data to fit a shape the particles do not have, so the estimated diffusivity absorbs the geometric error. The ellipsoidal model, by encoding the measured axial ratios, removes much of this compensating distortion and yields diffusion coefficients that better reflect the intrinsic transport properties of the coal matrix itself rather than artifacts of the assumed shape.

The implications ripple outward across the coal gas research community. Diffusion coefficients measured in the laboratory are routinely embedded into larger reservoir-scale simulations of coalbed methane recovery, into models of gas emission from mine working faces, and into indices used to assess the risk of coal and gas outbursts. If the input diffusivities are systematically inflated by spherical assumptions, reservoir productivity predictions may be overly optimistic, gas drainage designs may be misconfigured, and safety margins in mines may be thinner than intended. The authors argue that incorporating nonspherical morphology is essential for accurately characterizing gas diffusion in coal particles and that their ellipsoidal model offers improved theoretical rationality and engineering applicability compared with the entrenched spherical convention.

The study also fits into a broader movement toward geometric realism in porous media science. Related work has documented how grinding methods alter coal particle morphology, how three-dimensional X-ray computed tomography reveals the complex shapes of micron-sized coal grains, and how particle shape influences processes from flotation kinetics to sorption behavior. What sets this research apart is that it quantifies, with specific numbers, the price of ignoring shape in gas diffusion analysis, and then demonstrates a practical remedy. By first measuring roundness and axial ratios, then building forward and inverse numerical models on that measured geometry, the team provides a reproducible workflow that other laboratories can adopt without exotic instrumentation.

For an industry that depends on precise predictions of how methane behaves in coal, the message is straightforward. The sphere has been a useful fiction, but it is a fiction nonetheless. As coalbed methane development expands and gas disaster prevention remains a life-or-death concern in mining regions worldwide, models that respect the true, irregular, ellipsoid-like character of coal particles offer a path to more trustworthy science and, ultimately, safer and more efficient operations. The new results make clear that when it comes to gas moving through coal, shape is not a detail. It is part of the physics.

The findings also connect to a persistent puzzle in coal gas research: the observation that diffusion in coal powders behaves as a multi-rate process rather than a single, constant-coefficient phenomenon. Because coal contains pore systems spanning multiple scales, gas molecules encounter different transport regimes as they migrate through the matrix. Geometry adds another layer to this complexity, since the distribution of path lengths within an elongated particle naturally produces a spread of diffusion timescales. An ellipsoidal framework therefore aligns more naturally with the heterogeneous character of coal’s pore architecture than a sphere does.

The methodological approach deserves attention as well. Rather than deriving a closed-form analytical solution, the team relied on forward modeling paired with parameter optimization, an inverse-problem strategy in which model outputs are iteratively adjusted until they match measured desorption data. This approach has become increasingly common in coal permeability and diffusion studies, and it allows researchers to work with geometries that lack elegant analytical expressions. The trade-off is that results depend on the quality of the optimization, which makes the careful quantification of particle shape parameters a necessary foundation rather than an optional refinement.

Pressure dependence is another thread worth noting. Earlier experimental work has shown that gas diffusion coefficients in coal vary with adsorption pressure, and the present results indicate that the error introduced by spherical assumptions is itself pressure-dependent, growing as pressure falls. This coupling of geometric and pressure effects suggests that laboratory conditions must be matched carefully to field conditions when transferring measured diffusivities into reservoir or mine-safety models, since a coefficient calibrated at one pressure may mislead at another even before shape effects are considered.

Subject of Research: Effects of nonspherical coal particle morphology on gas diffusion behavior, quantified through desorption experiments and numerical modeling

Article Title: Effects of Nonspherical Morphology on Gas Diffusion in Coal Particles: Experiments and Numerical Modeling

Article References: Liu, Q., Li, Z., Wang, E., Sang, S., Mao, Z., Liu, X., Feng, X., Deng, S., Wang, D., & Zhang, X. (2026). Effects of Nonspherical Morphology on Gas Diffusion in Coal Particles: Experiments and Numerical Modeling. Natural Resources Research. https://doi.org/10.1007/s11053-026-10769-x

Image Credits: AI Generated

DOI: 10.1007/s11053-026-10769-x

Keywords: gas diffusion, coal particles, particle morphology, ellipsoidal model, diffusion coefficient, gas desorption, coalbed methane, numerical modeling, spherical model, adsorption pressure, particle size, mine safety