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《应用地球物理(英文版)》 2006-02
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A new method for reservoir fluid identification

Yue1 Wenzheng and Tao1 Guo1. CNPC Well Logging Key Laboratory, China University of Petroleum, Beijing 102249, China.  
The wavelet transform (WT) method has been employed to decompose an original geophysical signal into a series of components containing different information about reservoir features such as pore fluids, lithology, and pore structure. We have developed a new method based on WT energy spectra analysis, by which the signal component reflecting the reservoir fluid property is extracted. We have successfully processed real log data from an oil field in central China using this method. The results of the reservoir fluid identification agree with the results of well tests.
【Fund】: This research is sponsored by Nation Natural Science Foundation of China (No.50404001 and No.50374048)
【CateGory Index】: P618.130.21
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