Reservoir detection based on EMD and correlation dimension
Wen Xiao-Tao1,2, He Zhen-Hua1, and Huang De-Ji1
1. Information Engineering and Geophysics Department, Chengdu University of Technology, Chengdu 610059, China.
2. Sedimentary Geology Institute, Chengdu University of Technology, Chengdu, Sichuan 610059, China.
Abstract In hydrocarbon reservoirs, seismic waveforms become complex and the correlation dimension becomes smaller. Seismic waves are signals with a definite frequency bandwidth and the waveform is affected by all the frequency components in the band. The results will not define the reservoir well if we calculate correlation dimension directly. In this paper, we present a method that integrates empirical mode decomposition (EMD) and correlation dimension. EMD is used to decompose the seismic waves and calculate the correlation dimension of every intrinsic mode function (IMF) component of the decomposed wave. Comparing the results with reservoirs identified by known wells, the most effective IMF is chosen and used to predict the reservoir. The method is applied in the Triassic Zhongyou group in the XX area of the Tahe oil field with quite good results.
WEN Xiao-Tao,HE Zhen-Hua,HUANG De-Ji. Reservoir detection based on EMD and correlation dimension[J]. APPLIED GEOPHYSICS, 2009, 6(1): 70-76.
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2009, Vol. 6 
