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《Chinese Journal of Geophysics》 2004-05
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METHOD RESEARCH OF FORECASTING OIL AND GAS USING HIGHER-ORDER STATISTICS

XIONG Xiao-Jun YIN Cheng ZHANG Bai-Lin DING Feng LI Da-Wei Southwest Petroleum Institute, Chengdu 610500, China  
Based on the higher-order statistics property being insensitive to Gaussian noise and containing more information than power spectra, and higher-order spectral attributes of seismic signal, we propose a new approach to forecast oil and gas with the higher-order spectral parameter. The results of the theoretic model and the test on practical data not only prove the geological meaning of higher-order spectra, but also draw a change role of higher-order spectra between water-containing and oil-containing sandstone. It can be used to forecast oil and gas directly. Further more, its prediction results are more effective than that of regular amplitude attributes.
【Fund】: 国家高技术研究发展计划 ( 863计划 ) ( 2 0 0 1AA60 2 0 11-5 ) ;; 西南石油学院院科技基金项目 (院 2 45 )
【CateGory Index】: P631
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