首页|Prediction of cavity growth rate during underground coal gasification using multiple regression analysis
Prediction of cavity growth rate during underground coal gasification using multiple regression analysis
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During underground coal gasification (UCG), whereby coal is converted to syngas in situ, a cavity is formed in the coal seam. The cavity growth rate (CGR) or the moving rate of the gasification face is affected by controllable (operation pressure, gasification time, geometry of UCG panel) and uncontrollable (coal seam properties) factors. The CGR is usually predicted by mathematical models and laboratory experiments, which are time consuming, cumbersome and expensive. In this paper, a new simple model for CGR is developed using non-linear regression analysis, based on data from 11 UCG field trials. The empirical model compares satisfactorily with Perkins model and can reliably predict CGR.
Underground coal gasification (UCG)Cavity growth rateMultiple regression analysisEmpirical model
Mehdi Najafi、Seyed Mohammad Esmaiel Jalali、Reza KhaloKakaie、Farrokh Forouhandeh
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Department of Mining and Metallurgical Engineering, Yazd University, Safayieh, P.0. Box 89195-741, Yazd, Iran
Faculty of Mining Engineering, Petroleum and Geophysics, Shahrood University, Shahrud, Iran
Department of Mathematics, Shahrood University, Shahrud, Iran
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