Coal Geology & Exploration


In order to predict gas-bearing coal permeability accurately and prevent gas accidents effectively, a weighted least square support vector machine(WLS-SVM) algorithm based on Adaptive Particle Swarm Optimization(APSO) is proposed. Based on the related theory and literature research on gas-bearing coal permeability, the effective stress, gas pressure, temperature and compressive strength were selected as the main characteristic indexes. The APSO algorithm was used to optimize the combination parameters(C, σ) of the WLS-SVM model and APSO-WLS-SVM gas-bearing coal permeability prediction model was established. According to the field data, 40 sets of data were used as training samples and the remaining 10 groups were predicted samples. Then the model was trained and tested, and its prediction results were compared with the results of PSO-WLS-SVM and WLS-SVM respectively. The results show that the prediction effect of APSO-WLS-SVM model is better than the other two models, improves the prediction performance and generalization ability of coal permeability.


gas-bearing coal, permeability, adaptive particle swarm optimization (APSO), weighted least square support vector machine (WLS-SVM)




[1] 尹光志,李文璞,李铭辉,等. 加卸载条件下原煤渗透率与有效应力的规律[J]. 煤炭学报,2014,39(8):1497-1503. YIN Guangzhi,LI Wenpu,LI Minghui,et al. Permeability properties and effective stress of raw coal under load-ing-unloading condition[J]. Journal of China Coal Society,2014,39(8):1497-1503.

[2] 许江,曹偈,李波波,等. 煤岩渗透率对孔隙压力变化响应规律的试验研究[J]. 岩石力学与工程学报,2013,32(2):225-230. XU Jiang,CAO Jie,LI Bobo,et al. Experimental research on response law of permeability of coal to pore pressure[J]. Chinese Journal of Rock Mechanics and Engineering,2013,32(2):225-230.

[3] 许江,张敏,彭守建,等. 不同温度条件下气体压力升降过程中瓦斯运移规律的试验研究[J]. 岩土力学,2016,37(6):1579-1587. XU Jiang,ZHANG Min,PENG Shoujian,et al. Experimental study of migration laws of gas during loading-unloading process at different temperatures[J]. Rock and Soil Mechanics,2016,37(6):1579-1587.

[4] 彭守建,张超林,梁永庆,等. 抽采瓦斯过程中煤层瓦斯压力演化规律的物理模拟试验研究[J]. 煤炭学报,2015,40(3):571-578. PENG Shoujian,ZHANG Chaolin,LIANG Yongqing,et al. Physical simulation experiment on the evolution of gas pressure during CBM drainage[J]. Journal of China Coal Society,2015,40(3):571-578.

[5] 魏建平,秦恒洁,王登科. 基于水分影响的加-卸载围压条件下含瓦斯煤渗流特性研究[J]. 采矿与安全工程学报,2014,31(6):987-994. WEI Jianping,QIN Hengjie,WANG Dengke. Seepage characteristics of coal mass containing gas considering moisture effect in loading-unloading confining pressure test[J]. Journal of Mining & Safety Engineering,2014,31(6):987-994.

[6] 李波波,杨康,徐鹏,等. 力热耦合条件下煤岩渗透率模型研究[J]. 中国安全科学学报,2017,27(6):139-144. LI Bobo,YANG Kang,XU Peng,et al. Research on model for permeability of coal under stress and temperature cou-pling condition[J]. China Safety Science Journal,2017,27(6):139-144.

[7] 李波波,杨康,袁梅,等. 孔隙压力对煤岩渗透率影响的试验研究[J]. 中国安全科学学报,2017,27(3):77-82. LI Bobo,YAG Kang,YUAN Mei,et al. Experimental study on effect of pore pressure on permeability of coal[J]. China Safety Science Journal,2017,27(3):77-82.

[8] 刘星光,高峰,李玺茹,等. 低透气性原煤力学及渗透特性的试验研究[J]. 中国矿业大学学报,2013,42(6):911-916. LIU Xingguang,GAO Feng,LI Xiru,et al. Experimental study on mechanical properties and gas permeation characteristics of raw coal[J]. Journal of China University of Mining & Technology,2013,42(6):911-916.

[9] 尹光志,李铭辉,李文璞,等. 基于改进BP神经网络的煤体瓦斯渗透率预测模型[J]. 煤炭学报,2013,38(7):1179-1184. YIN Guangzhi,LI Minghui,LI Wenpu,et al. Model of coal gas permeability prediction based on improved BP neural network[J]. Journal of China Coal Society,2013,38(7):1179-1184.

[10] 谢丽蓉,路朋,范文慧,等. 基于LVQ-CPSO-BP算法的煤体瓦斯渗透率预测方法研究[J]. 采矿与安全工程学报,2017,34(2):398-404. XIE Lirong,LU Peng,FAN Wenhui,et al. LVQ-CPSO-BP-based prediction technique of coal gas permeability rate[J]. Journal of Mining & Safety Engineering,2017,34(2):398-404.

[11] 汤国水,张宏伟,韩军,等. 基于MABC-SVM的含瓦斯煤体渗透率预测模型[J]. 中国安全生产科学技术,2015,11(2):11-16. TANG Guoshui,ZHANG Hongwei,HAN Jun,et al. Prediction model on permeability of gas-bearing coal based on MABC-SVM[J]. Journal of Safety Science and Technology,2015,11(2):11-16.

[12] 邵良杉,马寒. 煤体瓦斯渗透率的PSO-LSSVM预测模型[J]. 煤田地质与勘探,2015,43(4):23-26. SHAO Liangshan,MA Han. Model of coal gas permeability prediction based on PSO-LSSVM[J]. Coal Geology & Exploration,2015,43(4):23-26.

[13] 魏建平,李波,王凯,等. 受载含瓦斯煤渗透性影响因素分析[J]. 采矿与安全工程学报,2014,31(2):322-327. WEI Jianping,LI Bo,WANG Kai,et al. Influencing factors on permeability of loaded gas-bearing coal mass[J]. Journal of Mining & Safety Engineering,2014,31(2):322-327.



To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.