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Spin Echo Train
An Improved Spin Echo Train De-noising Algorithm in NMRL
Feng Liu and Shuangbao Ma
Page: 941~947, Vol. 14, No.4, 2018
10.3745/JIPS.04.0081
Keywords: Nuclear Magnetic Resonance Logging, Signal to Noise Ratio, Spin Echo Train, Wavelet Transform
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An Improved Spin Echo Train De-noising Algorithm in NMRL
Feng Liu and Shuangbao Ma
Page: 941~947, Vol. 14, No.4, 2018

Keywords: Nuclear Magnetic Resonance Logging, Signal to Noise Ratio, Spin Echo Train, Wavelet Transform
Show / Hide Abstract
Since the amplitudes of spin echo train in nuclear magnetic resonance logging (NMRL) are small and the
signal to noise ratio (SNR) is also very low, this paper puts forward an improved de-noising algorithm based
on wavelet transformation. The steps of this improved algorithm are designed and realized based on the
characteristics of spin echo train in NMRL. To test this improved de-noising algorithm, a 32 points forward
model of big porosity is build, the signal of spin echo sequence with adjustable SNR are generated by this
forward model in an experiment, then the median filtering, wavelet hard threshold de-noising, wavelet soft
threshold de-noising and the improved de-noising algorithm are compared to de-noising these signals, the
filtering effects of these four algorithms are analyzed while the SNR and the root mean square error (RMSE)
are also calculated out. The results of this experiment show that the improved de-noising algorithm can
improve SNR from 10 to 27.57, which is very useful to enhance signal and de-nosing noise for spin echo train
in NMRL.