cfd modeling of impact of gas content uncertainty on methane distribution in underground coal mine roadways

Methane has been known as a safety risk for the coal mining activities. accordingly, one can mitigate this risk, and hence, the level of hazard to which the mining workers are exposed, by predicting the possible exceedance of allowable methane dosage should be provided with a reliable information on the distribution of methane across the working face considering the uncertainties associated with the gas content of such deposits. in this work, the gas content uncertainty in a coal seam is first investigated using the geo-statistical simulation. then a method is proposed in order to predict methane gas emission based on the monte carlo random simulation method. next, the results obtained are introduced into a 3d computational fluid dynamics (cfd) model to estimate the methane distribution considering the uncertainty associated with the gas content. defined as zones where the methane concentration is so high that an explosion is much likely to occur, the elevated methane zones (emzs) are delineated across the working faces. the results obtained show that ugc has an impact on the ventilation parameters and emzs. the proposed method could be carried out in order to guide the ventilation design in improving safety.