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On Regularization Inversion Method of Surface Nuclear Magnetic Resonance Data

ZHANG Wen-quan1,WENG Ai-hua2   

  1. 1.Institute of Geology Exploration of Qinghai Province, Xining 810012, China;2.College of GeoExploration Science and Technology,Jilin University, Changchun 130026, China
  • Received:2006-11-28 Revised:1900-01-01 Online:2007-07-26 Published:2007-07-26
  • Contact: WENG Ai-hua

Abstract: To illustrate the influence of different regularization operator on the inversion of water content distribution from surface nuclear magnetic resonance (NMR) signal, synthetic data of noise free and contaminated have been investigated. The water content distributions of two layers have been studied. Numerical results show that for the data with either high or low signal to noise ratio (SNR), inversion solution depends weakly on regularization operators, while strongly upon regularization parameter. Relatively large regularization parameters cause low resolution of solution, and a small parameter can improve data fitting and enhance the accuracy of inversed water content distribution.

Key words: surface NMR, inversion, regularization method, groundwater exploration

CLC Number: 

  • P631.2
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