• DocumentCode
    1515780
  • Title

    Three-Dimensional Magnetic Field and NMR Sensitivity Computations Incorporating Conductivity Anomalies and Variable-Surface Topography

  • Author

    Lehmann-Horn, Jochen A. ; Hertrich, M. ; Greenhalgh, S.A. ; Green, A.G.

  • Author_Institution
    Inst. of Geophys., ETH Zurich, Zurich, Switzerland
  • Volume
    49
  • Issue
    10
  • fYear
    2011
  • Firstpage
    3878
  • Lastpage
    3891
  • Abstract
    We have developed a numerical algorithm for computing the magnetic field distribution and the nuclear magnetic resonance (NMR) sensitivity function for arbitrary topography overlying a known 3-D conductivity structure. The magnetic vector potential is split into primary and secondary terms. The primary term is obtained using a thin-wire line integral equation that accounts for arbitrary loop shape and position. It allows the singularity of the source field to be effectively removed. The secondary potential is obtained by solving the second-order partial differential equations on an unstructured tetrahedral mesh using the finite element technique. We validate the results of applying our algorithm against an explicit infinite integral solution for circular loops on a layered earth and against the results of applying a commercial simulation tool. The spatially oscillating NMR sensitivity functions to hydrogen protons (i.e., unbounded water molecules) in the sub-surface are computed on a refined unstructured grid. We apply the numerical algorithm to a number of synthetic examples in surface NMR tomography of hydrological relevance.
  • Keywords
    computational electromagnetics; computerised instrumentation; electrical conductivity; hydrological techniques; integral equations; magnetic field measurement; mesh generation; nuclear magnetic resonance; partial differential equations; sensitivity; surface topography measurement; 3D magnetic field distribution; arbitrary topography; conductivity anomalies; finite element technique; hydrological relevance; integral equation; magnetic vector potential; nuclear magnetic resonance; numerical algorithm; partial differential equations; sensitivity analysis; surface NMR tomography; unstructured tetrahedral mesh; variable surface topography; Computational modeling; Conductivity; Earth; Equations; Mathematical model; Nuclear magnetic resonance; Surface topography; Electromagnetics; hydrogeophysics; nuclear magnetic resonance (NMR); sensitivity computation;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2011.2135861
  • Filename
    5766733