Title :
The quantitative prediction of Coalbed Methane gas content based on super-low frequency electromagnetic technology
Author :
Yanbing Bai ; Qiming Qin ; Li Chen ; Nan Wang ; Jianhua Wang ; Chao Chen
Author_Institution :
Inst. of Remote Sensing & GIS, Peking Univ., Beijing, China
Abstract :
Abundant field experiments have showed that the super low frequency (SLF) electromagnetic detector is sensitive to Coalbed Methane(CBM). The signal curves collected by the SLF electromagnetic detector show high amplitude anomalies in the CBM enrichment areas. Based on this finding, we choose the Qinshui basin as study area, and take advantage of the field SLF electromagnetic data to make quantitative prediction of CBM gas content.The results show that the average error between the estimated value and the measured value is 7.56%.
Keywords :
hydrocarbon reservoirs; remote sensing; CBM enrichment; China; Coalbed Methane gas content; Qinshui basin; SLF electromagnetic detector; quantitative prediction; signal curves; superlow frequency electromagnetic technology; Coal; Electromagnetics; Geology; Measurement uncertainty; Neural networks; Predictive models; Training; SLF electromagnetic technology; coalbed methane; quantitative prediction;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4799-1114-1
DOI :
10.1109/IGARSS.2013.6721284
