多源测井数据预测煤层工业组分和发热量模型研究

余永鹏, 张广兵, 黄自军, 闫建波, 王嘉文, 杨彦成, 毛兴军

A prediction model of the industrial components and calorific values of coal seams based on multi-source log data

YU Yong-Peng, ZHANG Guang-Bing, HUANG Zi-Jun, YAN Jian-Bo, WANG Jia-Wen, YANG Yan-Cheng, MAO Xing-Jun

表5 测试集中预测结果与样品分析结果对比误差

Table 5 The list of errors in comparison between prediction results and sample analysis results in the test set

煤质参数	样品分析结果 ( $\frac{最大值 - 最小值}{平均值}$ )	预测结果 ( $\frac{最大值 - 最小值}{平均值}$ )	均方根误差/%	平均绝对误差/%	平均相对误差/%	备注
M_ad/%	$\frac{15.60 - 4.48}{9.89}$	$\frac{14.48 - 5.02}{9.53}$	2.14	1.62	18.34
A_d/%	$\frac{17.49 - 3.76}{8.60}$	$\frac{15.04 - 5.36}{9.09}$	3.06	2.41	26.89	分步预测
A_d/%	$\frac{17.49 - 3.76}{8.60}$	$\frac{19.02.21 - 4.85}{8.60}$	3.61	2.62	29.55
FC_d/%	$\frac{69.05 - 47.38}{57.44}$	$\frac{64.51 - 47.76}{56.94}$	3.66	2.88	5.08
V_daf/%	$\frac{39.16 - 27.14}{32.92}$	$\frac{36.71 - 30.68}{33.39}$	2.90	2.30	6.89	分步预测
V_daf/%	$\frac{39.16 - 27.14}{32.92}$	$\frac{39.08 - 28.29}{33.40}$	3.42	2.58	7.78
Q_gr,d/(MJ·kg^-1)	$\frac{31.70 - 25.91}{28.96}$	$\frac{30.78 - 26.78}{28.73}$	1.18	0.90	3.14