Abstract：To make clear effect differences among wavelet transform (WT), wavelet package transform (WPT), and Hilbert-Huang transform (HHT) on logging data, we review fundamental idea and approach feature of WT filters, WPT filters, and HHT filters based on published documents. First gamma ray logging data with noise whose intensity is 10 times to Gauss white noise is filtered by WT filters, WPT filters, HHT reducing filters, and HHT-WT associating filters. Then HHT three dimensions spectrum characteristics, root-mean-square (rms) error, signal to noise ratio (S/N), and similar degree (SD) are analyzed on this filtered GR data. Finally the relation between filtering effect and noise intensity is studied. The following observations are found out based on our work: A. There is some difference of rms error, S/N, SD and HHT 3D spectrum features with the four filters; B. Filtering effects will be decreasing when noise intensity is high, filtering effect is similar when noise intensity is between 5 times and 17 times to Gauss white noise; C. WT filters should be the first choice when the noise intensity is relatively weak or strong; D. HHT-WT filters is better than HHT reducing filters.
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