1887

Abstract

Summary

Envelope detection is an integral step of the surface NMR data processing workflow to estimate these parameters. We present a new method for retrieving NMR signal envelopes using spectral analysis and the subsequent inversion scheme with the new data space. By exploiting the fact that the spectral magnitude at the Larmor frequency is proportional to the product of the initial amplitude and relaxation time, a high-SNR complex envelope can be extracted by Fourier transform for a number of sliding windows. However, SA estimated envelopes are weighted by the NMR relaxation time during processing and the envelopes have units of volt-seconds. We propose to modify the surface NMR forward model such that it predicts data directly in the voltage-time data space. Field data inversions are presented to demonstrate advantages of pairing the SA envelope detection scheme with a forward model that works in the voltage-time data space.

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/content/papers/10.3997/2214-4609.201902363
2019-09-08
2020-04-04
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References

  1. Legchenko, A., Baltassat, J.M., Beauce, A. and Bernard, J.
    , 2002. Nuclear magnetic resonance as a geophysical tool for hydrogeologists. Journal of Applied Geophysics, 50, 21–46.
    [Google Scholar]
  2. Liu, L., Grombacher, D., Auken, E. and Larsen, J.J.
    , 2019a. Complex envelope retrieval for surface nuclear magnetic resonance data using spectral analysis. Geophysical Journal International, 217, 894–905.
    [Google Scholar]
  3. , 2019b. Apsu: a wireless multichannel receiver system for surface nuclear magnetic resonance groundwater investigations. Geoscientific Instrumentation, Methods and Data Systems, 8, 1–11.
    [Google Scholar]
  4. Müller-Petke, M., Braun, M., Hertrich, M., Costabel, S. and Walbrecker, J.
    , 2016. MRSmatlab—A software tool for processing, modelling, and inversion of magnetic resonance sounding data. Geophysics, 81, WB9-WB21.
    [Google Scholar]
  5. Grombacher, D.
    , 2018. Numerically optimized modulations for adiabatic pulses in surface NMR: Geophysics, 83, no. 2, JM1–JM14.
    [Google Scholar]
  6. Grunewald, E., D.Grombacher, and D.Walsh
    , 2016. Adiabatic pulses enhance surface nuclear magnetic resonance measurement and survey speed for groundwater investigations: Geophysics, 81, no. 4, WB85–WB96.
    [Google Scholar]
  7. Weichman, P.B., E.M.Lavely, and M.H.Ritzwoller
    , 2000, Theory of surface nuclear magnetic resonance with applications to geophysical imaging problems: Physical Review E, 62, 1290–1312.
    [Google Scholar]
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