SWD data preprocessing using wavelet transform of correlation domain

被引：6
|
作者：
Lu Bin [1 ,2 ]
Ge Hong-Kui [1 ]
Wu He-Zhen [1 ]
Yang Wei [1 ]
Cui Shi-Bo [1 ]
Wang Peng [1 ]
Han Lai-Ju [3 ]
Wei Mao-An [3 ]
机构：
[1] China Earthquake Adm, Inst Geophys, Beijing 100081, Peoples R China
[2] China Earthquake Adm, Lanzhou Inst Seismol, Lanzhou 730000, Peoples R China
[3] Shengli Petr Adm Bur, Drilling Technol Res Inst, Dongying 257017, Peoples R China
来源：
CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION | 2009年 / 52卷 / 09期
关键词：
Seismic While Drilling; SWD; Correlation domain; Wavelet transform; Data preprocessing;
D O I：
10.3969/j.issn.0001-5733.2009.09.020
中图分类号：
P3 [地球物理学]; P59 [地球化学];
学科分类号：
0708 ; 070902 ;
摘要：
Wave fields of Seismic While Drilling (SWD) are very complex, and it is an important preprocessing to analyze the signal from bit and the noise from machines on ground. In the paper, we use temporal structures, such as periods and time-delay of signal and noise, and propose an algorithm based on wavelet transform of correlation domain to analyze SWD wave fields. Signal propagated and reflected multiply in drill-string, so it has strict periodicity. Noise from machines such as pump has periodicity too. In auto-correlation domain, these periodic components are emerged. Components of SWD wave fields have different time delays in sensors, can emerge in cross-correlation domain at certain delay. Wavelet transform is used to analyze these components emerging in correlation domain in multi-scales, and their frequency contents, periods, attenuation can be known. Based on this information, a proper SWD data processing is carried out and the direct wave of signal from bit is gained. It is indicated that the method of wavelet transform of correlation domain is a useful preprocessing.
引用
收藏
页码：2349 / 2356
页数：8
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