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Prediction of cavity growth rate during underground coal gasification using multiple regression analysis 被引量:8

Prediction of cavity growth rate during underground coal gasification using multiple regression analysis
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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 1 l UCG field trials. The empirical model compares satisfactorily with Perkins model and can reliably predict CGR.
出处 《International Journal of Coal Science & Technology》 EI 2015年第4期318-324,共7页 国际煤炭科学技术学报(英文)
关键词 Underground coal gasification (UCG) - Cavity growth rate . Multiple regression analysis ~ Empirical model 煤炭地下气化 气化过程 多元回归分析 增长率 非线性回归分析 孔洞 测地 数学模型
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