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	PASSIVE SUPER-LOW FREQUENCY REMOTE SENSING TECHNIQUE FOR MONITORING COAL-BED METHANE RESERVOIRS
	Wang, Nan ; Qin, Qi Ming ; Chen, Li ; Bai, Yan Bing ; Zhao, Shan Shan ; Zhang, Cheng Ye ; Ren, Hua Zhong
	2014
关键词	Coal-bed methane Super-Low Frequency dynamic monitoring electromagnetic radiation reservoir identification
英文摘要	Coal-bed methane (CBM), as an increasingly promising resource for the energy supply, deserves further exploration and accurate reservoir evaluation. It is also required to dynamically monitor the reservoirs (>200 m). Remote sensing methods in regular wavebands may fail in the depth sounding, with only imaging geo-objects shallower than 100 m. In contrast, the Super-Low Frequency (SLF) remote sensing technique has outstanding traits over others, including lower attenuation, all-weather and deeper penetration. In this paper, we have developed a nonimaging remote sensor to acquire electromagnetic signals in the Super-Low Frequency bands (i. e. SLF signals), which also enables us to fast and efficiently pre-process signals in a real-time display. In order to accurately identify producing CBM reservoirs, we mainly extract electromagnetic radiation (EMR) anomalies from processed SLF signals, and then dynamic analysis can be achieved. This technique has been validated by field experiments in Qin shui Basin, China.; Engineering, Electrical & Electronic; Geosciences, Multidisciplinary; Remote Sensing; EI; CPCI-S(ISTP); 0
语种	英语
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/311804]
专题	地球与空间科学学院
推荐引用方式 GB/T 7714	Wang, Nan,Qin, Qi Ming,Chen, Li,et al. PASSIVE SUPER-LOW FREQUENCY REMOTE SENSING TECHNIQUE FOR MONITORING COAL-BED METHANE RESERVOIRS. 2014-01-01.

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