Oil and gas reservoir exploration based on hyperspectral remote sensing   and super-low-frequency electromagnetic detection

doi:10.1117/1.JRS.10.016017

CORC > 北京大学 > 地球与空间科学学院

	Oil and gas reservoir exploration based on hyperspectral remote sensing and super-low-frequency electromagnetic detection
	Qin, Qiming ; Zhang, Zili ; Chen, Li ; Wang, Nan ; Zhang, Chengye
刊名	JOURNAL OF APPLIED REMOTE SENSING
	2016
关键词	hyperspectral remote sensing super low frequency electromagnetic oil and gas exploration HYDROCARBON MICROSEEPAGE IMAGING SPECTROMETRY SWEETWATER COUNTY EO-1 HYPERION EASTERN IRAN AREA LANDSAT MAHERABAD EARTH FIELD
DOI	10.1117/1.JRS.10.016017
英文摘要	This paper proposes a method that combined hyperspectral remote sensing with super-low-frequency (SLF) electromagnetic detection to extract oil and gas reservoir characteristics from surface to underground, for the purpose of determining oil and gas exploration target regions. The study area in Xinjiang Karamay oil-gas field, China, was investigated. First, a Hyperion dataset was used to extract altered minerals (montmorillonite, chlorite, and siderite), which were comparatively verified by field survey and spectral measurement. Second, the SLF electromagnetic datasets were then acquired where the altered minerals were distributed. An inverse distance weighting method was utilized to acquire two-dimensional profiles of the electrical feature distribution of different formations on the subsurface. Finally, existing geological data, field work, and the results derived from Hyperion images and SLF electromagnetic datasets were comprehensively analyzed to confirm the oil and gas exploration target region. The results of both hyperspectral remote sensing and SLF electromagnetic detection had a good consistency with the geological materials in this study. This paper demonstrates that the combination of hyperspectral remote sensing and SLF electromagnetic detection is suitable for the early exploration of oil and gas reservoirs, which is characterized by low exploration costs, large exploration areas, and a high working efficiency. (C) 2016 Society of Photo-Optical Instrumentation Engineers (SPIE); National Science and Technology Major Project of China [2011ZX05034]; Zhengzhou Coal and Electric Company Limited (Project: Research on Integrated Experiment and Application of New Generation of Non-contact Geological Survey Technology in Coal Mine); SCI(E); EI; ARTICLE; zhangchengye@pku.edu.cn; 1; 10
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/437918]
专题	地球与空间科学学院
推荐引用方式 GB/T 7714	Qin, Qiming,Zhang, Zili,Chen, Li,et al. Oil and gas reservoir exploration based on hyperspectral remote sensing and super-low-frequency electromagnetic detection[J]. JOURNAL OF APPLIED REMOTE SENSING,2016.
APA	Qin, Qiming,Zhang, Zili,Chen, Li,Wang, Nan,&Zhang, Chengye.(2016).Oil and gas reservoir exploration based on hyperspectral remote sensing and super-low-frequency electromagnetic detection.JOURNAL OF APPLIED REMOTE SENSING.
MLA	Qin, Qiming,et al."Oil and gas reservoir exploration based on hyperspectral remote sensing and super-low-frequency electromagnetic detection".JOURNAL OF APPLIED REMOTE SENSING (2016).