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
Link To Document :
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