2012
DOI: 10.1109/tgrs.2012.2183135
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Efficient and Reliable Simulation of Multicomponent Induction Logging Response in Horizontally Stratified Inhomogeneous TI Formations by Numerical Mode Matching Method

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Cited by 43 publications
(18 citation statements)
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“…For many years, LWD problems where efficiently solved using a 1D-FE discretization along each horizontal layer of a cylindrical stratified medium [10,24,26,31], and then, in the vertical direction, a mode-matching procedure is used to match the fields between each horizontal layer. As said before, this approach is denoted as axial-NMM (A-NMM).…”
Section: Comparison Of the Proposed Methods Versus The R-nmmmentioning
confidence: 99%
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“…For many years, LWD problems where efficiently solved using a 1D-FE discretization along each horizontal layer of a cylindrical stratified medium [10,24,26,31], and then, in the vertical direction, a mode-matching procedure is used to match the fields between each horizontal layer. As said before, this approach is denoted as axial-NMM (A-NMM).…”
Section: Comparison Of the Proposed Methods Versus The R-nmmmentioning
confidence: 99%
“…Logging-while-drilling (LWD) tools, as that illustrated in Fig. 2.1, are commonly modeled using a mode-matching-based formulation [10,31,43], whereby a finite-element (FE) discretization is used along each horizontal layer of a cylindrical stratified medium. In the vertical direction, an analytical modematching procedure is then used to match the fields between each horizontal layer.…”
Section: On the Problem Statement And The Proposed Solutionmentioning
confidence: 99%
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“…Wang et al [7] developed the NMM method to simulate the multi-component induction tool and efficiently compute the electromagnetic field in horizontally stratified inhomogeneous transversely isotropic formations. However, as with all current NMM methods [4]- [6], a small radius was used to approach the origin of coordinates to avoid the singularity at ρ = 0 when implementing a 1D FEM along the radial direction.…”
Section: Introductionmentioning
confidence: 99%