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《Progress In Geophysics》 2002-01
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Wavelet Scalogram and Application for Geophysical Well

LI Qing-mou 1 LIU Shao-hua 2 (1. Department of Earth and Atomspheric, York University, Toronto, M3J1P3, Canada; 2. Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 10101, China)  
Time series analysis method is important in well logging sequence analysis, paleoclimate research (such as Milankovitch cycles study), whilst the methods of cycles, successions, and rhythms methods are the most important. The wavelet scalogram which we presented here with fast calculation methods is better selection than the generally used cycles analysis methods such as auto-correlate power spectra methods, periodgram methods, MEM, MLM, and etc. Wavelet scalogram keeps the position information whereas we can not only find which frequency component is significant but also position where is that frequency, and more what the frequency stacking pattern is. A windows package is developed using widely the dynamic linked library (DLL) and Component Object Model (COM). Well logging curves, RILD, GR, SP, Den, of hole X11 from 1500m to 2500m in Tarim basin, XinJiang Chig are used to calculate periodgram and wavelet scalogram as examples. The cycles peaks in periodgram contain less information than scalogram. The subsidence, eustatic, and flux patterns are clear in the scalogram images. The scalogram method is useful and efficient in cycles analysis.
【Fund】: 国家自然科学基金项目 (D497742 37)
【CateGory Index】: P631.8
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