Hyperspectral Remote Sensing Technology in Oil and Gas Exploration
Wang Daming
Xiao Chenchao
Li Zhizhong
Ni Guoqiang
Wu Xiaojuan
Sui Zhengwei
Abstract：Hyperspectral remote sensing technology is new in oil and gas exploration.Based on the theory of abnormal surface symbiosis with oil and gas microseepage,four typical classifications,maximum likelihood classification in the wavelet-based principal component analysis,endmember extraction,typical alteration classification with spectral libraries and decision tree classification based on vegetation indices are chosen to carry a case study of Hyperion images in Yulin,to obtain the related the-matic maps such as clay,carbonate,vegetation and determine six comprehensive anomalous areas.A comprehensive analysis of the distribution of existing gas well and oil-gas anomalous areas show that the information extraction method of oil and gas mi-croseepage is valid.
Keywords：hyperspectral remote sensingoil and gas explorationwavelet-based PCAendmember extractionspectral libraryvegetation indexremote sensingdecision tree classification
Publication Date：2015-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：9( 1301-1309 )