SNR estimation in NMR well logging by wavelet analysis

被引：0

作者：

He, Feng-Jiang ^{[1
]}

Tao, Guo ^{[1
]}

Luo, Hou-Yi ^{[1
]}

机构：

[1] CNPC Well Logging Key Laboratory, Petroleum University of China, Beijing 102249, China

来源：

Hedianzixue Yu Tance Jishu/Nuclear Electronics and Detection Technology | 2005年 / 25卷 / 05期

关键词：

D O I：

暂无

中图分类号：

学科分类号：

摘要：

The SNR plays an important role in the inversion of NMR's T2 spectrum. The conventional methods for SNR estimation are very much dependent on the cutoff of the singulars and the coefficient matrix of the inversion system. Thus inevitably introduced uncertainty in the SNR estimation. We present a new method for the SNR estimation by wavelet estimation. The results from this method are only dependent on the signal. Furthermore, this method can adapt to the variations of signals. Our results also demonstrate that the nature of the NMR noise signal is of Gaussian distribution.

引用

页码：471 / 474

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