Using wavelet-domain adaptive filtering to improve signal-to-noise ratio of nuclear magnetic resonance log data from tight gas sands

2015 ◽  
Vol 64 (3) ◽  
pp. 689-699 ◽  
Author(s):  
Ranhong Xie ◽  
Youbin Wu ◽  
Kang Liu ◽  
Mi Liu ◽  
Xiangning Meng
Keyword(s):  
Nuclear Magnetic Resonance ◽  
Magnetic Resonance ◽  
Adaptive Filtering ◽  
Signal To Noise Ratio ◽  
Tight Gas ◽  
Wavelet Domain ◽  
Signal To Noise ◽  
Log Data ◽  
Tight Gas Sands ◽  
Nuclear Magnetic

scholarly journals Особенности исследования состояния текущей среды методом ядерного магнитного резонанса

2020 ◽  
Vol 46 (2) ◽  
pp. 8
Author(s):  
В.В. Давыдов ◽  
Н.С. Мязин ◽  
В.И. Дудкин ◽  
Р.В. Давыдов
Keyword(s):  
Nuclear Magnetic Resonance ◽  
Magnetic Resonance ◽  
Signal To Noise Ratio ◽  
Relaxation Times ◽  
The State ◽  
T2 Relaxation ◽  
Signal To Noise ◽  
Flowing Liquid ◽  
Registration System ◽  
Nuclear Magnetic

The features of the state investigation of a flowing liquid by nuclear magnetic resonance was defined. The methodology for the state investigation of the flowing medium by changing the values of the longitudinal T1 and transverse T2 relaxation times is justified. For the parameters of the registration system of the signal of nuclear magnetic resonance and magnetic fields are established relations between them. The implementation of these ratios allows to obtain a signal to noise ratio of more than 5 for carrying out measurements of T1 and T2 values in real time with an error not exceeding 1%. The results of experimental research are presented.

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