Full-Text Search:
Home|About CNKI|User Service|中文
Add to Favorite Get Latest Update

Reservoir Detection Based on EMD and Approximate Entropy

CHEN Sheng-hong1,2,HE Zhen-hua1,ZHU Ming2,WANG Rui-liang2,CHEN Xue-fang2,WEN Xiao-tao1,JIANG Jian2,ZENG Yi2(1,Chengdu University of Technology,Chengdu 610059,China;2,Research Institute,Shenzhen Branchof CNOOC Ltd.,Guangzhou 510240,China)  
In general,complexities of seismic waveforms corresponding to different strata characters are different.Approximate entropy is an index of signal complexities,which can reflect the characters of reservoir to a certain extent.However,seismic wave is a signal with definite bandwidth and its waveform is affected by all frequency components in the band.So the result would not reflect the characters of reservoir if calculating the approximate entropy directly.Here we use an advanced method integrating Empirical Mode Decomposition(EMD) and approximate entropy,which includes calculating the approximate entropy of every Intrinsic Mode Functions(IMF) of seismic wave decomposed by EMD,and choosing the effective IMF by comparing with the known well to predict the characters of reservoir.The method is effective in Zhujiang Formation of HZ area.
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
©CNKI All Rights Reserved