New method for predicting coal seam gas content
作者： Dong Li , Suping Peng , Wenfeng Du , Yinling Guo
DOI: 10.1080/15567036.2018.1545003
关键词:
摘要: … accurately predicting coal seam gas content. Comparison with subsequent measured data … A new method for accurate and rapid measurement of underground coal seam gas content. …
sci-hub.se 参考文章(21)
Huihu Liu, Shuxun Sang, Geoff G.X. Wang, Mengxi Li, Hongjie Xu, Shiqi Liu, Junjun Li, Bo Ren, Zhigen Zhao, Yan Xie, Block scale investigation on gas content of coalbed methane reservoirs in southern Qinshui basin with statistical model and visual map Journal of Petroleum Science and Engineering. ,vol. 114, pp. 1- 14 ,(2014) , 10.1016/J.PETROL.2013.08.039
A S Ranathunga, M S A Perera, P G Ranjith, Deep coal seams as a greener energy source: a review Journal of Geophysics and Engineering. ,vol. 11, pp. 063001- ,(2014) , 10.1088/1742-2132/11/6/063001
Sheng-Wei Fei, Yu Sun, Forecasting dissolved gases content in power transformer oil based on support vector machine with genetic algorithm Electric Power Systems Research. ,vol. 78, pp. 507- 514 ,(2008) , 10.1016/J.EPSR.2007.04.006
Liu Ta, Prediction for Seam Gas Content of Coal Face Based on Cross-Validation & SVM World Sci-tech R & D. ,(2015)
Liu Ming-ju, BP model of gas content prediction based on quantitative assessment of geological structure complexity Journal of China Coal Society. ,(2009)
Islam Ali Mohamed, Omar Shenkar, Hossam Mahmoud, Understanding reservoir heterogeneity through water-saturation prediction via neural network — A case study from offshore Nile Delta Geophysics. ,vol. 36, pp. 298- 303 ,(2017) , 10.1190/TLE36040298.1
Abdul Haris, RJ Sitorus, Agus Riyanto, None, Pore pressure prediction using probabilistic neural network: case study of South Sumatra Basin IOP Conference Series: Earth and Environmental Science. ,vol. 62, pp. 012021- ,(2017) , 10.1088/1755-1315/62/1/012021
A. Haris, M. Nafian, A. Riyanto, Delineating chalk sand distribution of Ekofisk formation using probabilistic neural network (PNN) and stepwise regression (SWR): Case study Danish North Sea field 2nd International Symposium on Current Progress in Mathematics and Sciences 2016, ISCPMS 2016. ,vol. 1862, pp. 030170- ,(2017) , 10.1063/1.4991274
Dingding Yang, Yujia Chen, Jun Tang, Xiaowei Li, Chenglin Jiang, Chaojie Wang, Chaojie Zhang, Experimental research into the relationship between initial gas release and coal-gas outbursts Journal of Natural Gas Science and Engineering. ,vol. 50, pp. 157- 165 ,(2018) , 10.1016/J.JNGSE.2017.12.015
Qingming Long, Qianting Hu, Zhenyu Zhang, Ting Ren, On factors affecting coalbed gas content measurement Measurement. ,vol. 121, pp. 47- 56 ,(2018) , 10.1016/J.MEASUREMENT.2018.02.026