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煤炭学报（英文版）
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2015年4期
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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
摘要
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.
年，卷(期)：
2015, 4(4)
机标分类号：
R8
R1
在线出版日期：
2016年8月24日
