Journal of Jilin University(Earth Science Edition) ›› 2024, Vol. 54 ›› Issue (1): 46-53.doi: 10.13278/j.cnki.jjuese.20230288

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Resonance Data Based on Differential Structure

Zhang Yang 1, 2, Wang Meiting 1, 2, Shang Xinlei 1, 2   

  1. 1. Key Laboratory of Geophysical Exploration Equipment(Jilin University), Ministry of Education, Changchun 130026, China
    2. College of Instrument Science and Electrical Engineering, Jilin University, Changchun 130026, China
  • Received:2023-10-26 Online:2024-01-26 Published:2024-03-11
  • Supported by:
    the National Key Research and Development Program of China (2022YFF0606903-1) and the Natural Science Foundation of Jilin Province (2020122207JC)

Abstract: Surface nuclear magnetic resonance (SNMR) emerges as a non-invasive geophysical method with widespread applications in the qualitative and quantitative detection of groundwater. Its utility extends to resource exploration, geological disaster warning, and environmental monitoring. However, the practical implementation of this method encounters challenges as weak SNMR signals often contend with the pervasive noise in complex environments, hampering effective signal acquisition. In response to this issue, we propose a novel SNMR data noise suppression technique based on a differential structure. This method involves the strategic placement of two receiving coils equidistantly above and below the transmitting coil. This configuration can cancel out a significant portion of ambient noise and mitigates the effects of transceiver coil coupling in real time. Numerical experiments verify that the new method can achieve noise suppression and the reliable acquisition of free induction decay (FID) signals.


CLC Number: 

  • TH762
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