DocumentCode
1093818
Title
Numerical Modeling of Multicomponent Induction Well-Logging Tools in the Cylindrically Stratified Anisotropic Media
Author
Wang, Hongnian ; So, Poman ; Yang, Shouwen ; Hoefer, Wolfgang J R ; Du, Huilian
Author_Institution
Jilin Univ., Changchun
Volume
46
Issue
4
fYear
2008
fDate
4/1/2008 12:00:00 AM
Firstpage
1134
Lastpage
1147
Abstract
In this paper, we present an efficient algorithm to simulate the response of a multicomponent induction well-logging (MCIL) tool in a cylindrically layered anisotropic formation (transversely isotropic media). The tool consists of three pairs of orthogonally arranged transmitter-receiver coils for measuring the magnetic field around a borehole for oil and gas exploration. First, we will derive the EM field components to present the coupled transverse magnetic and transverse electric modes in the spectral domain for an arbitrary observation layer from the Maxwell equation and obtain the spectral-domain Green´s function. The new local transmission and both the local and generalized reflections for the media are given. After that, we use a cubic spline interpolation to realize the inverse Fourier transformation and obtain the spatial-domain Green´s function for the investigation of the response characteristics of the MCIL tool. Finally, we give some numerical results to explore the response characteristics of the tool in several different environments.
Keywords
Fourier transforms; Green´s function methods; Maxwell equations; anisotropic media; geophysical prospecting; interpolation; terrestrial electricity; well logging; EM field components; Fourier transformation; Greens function; MCIL; Maxwell equation; borehole; cylindrically layered anisotropic formation; gas exploration; magnetic field measurement; multicomponent induction well-logging tool; numerical modeling; oil exploration; spline interpolation; stratified anisotropic media; transmitter-receiver coils; transverse electric mode; transverse magnetic mode; Cylindrically stratified anisotropic media; EM propagation in anisotropic media; EM theory; electromagnetic (EM) propagation; multicomponent induction well-logging (MCIL) tool; response characteristics; tensor Green´s function;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing, IEEE Transactions on
Publisher
ieee
ISSN
0196-2892
Type
jour
DOI
10.1109/TGRS.2008.915748
Filename
4464124
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