DocumentCode
786343
Title
A space marching inversion algorithm for pulsed borehole radar in the time-domain
Author
Zhang, Yongmin ; Liu, Ce
Author_Institution
Dept. of Electr. Eng., Houston Univ., TX, USA
Volume
33
Issue
3
fYear
1995
fDate
5/1/1995 12:00:00 AM
Firstpage
541
Lastpage
550
Abstract
An iterative algorithm is developed to reconstruct the image of formation conductivity surrounding a borehole using time-domain data. The forward modeling employed in the algorithm is derived from the transmission line matrix (TLM) method, which is used to simulate electromagnetic waves propagating in formations with two-dimensional variations in cylindrical coordinates. A new structure of a transmission line mode is used to simulate a coil-type transmitter antenna in a borehole. Since the inversion algorithm proceeds iteratively and the part of the formation involved in the inversion marches in space step by step, no optimization is necessary, and problems caused by optimization procedure such as inverting large-scale matrix and computation of Jacobian matrix numerically, are avoided. This method is especially useful in cases where the analytic gradient is not available. The inversion algorithm is tested in formations having both one- and two-dimensional conductivity variations with coil-type transmitters. Investigation depth and resolution for noise-free cases are also discussed
Keywords
geophysical prospecting; geophysical signal processing; geophysical techniques; inverse problems; radar applications; radar detection; radar imaging; radar signal processing; terrestrial electricity; EM method; borehole; buried object detection; coil-type transmitter antenna; cylindrical coordinates; electromagnetic wave; formation electrical conductivity; forward modeling; geoelectric; geology; geophysical measurement technique; ground penetrating radar; image; inverse problem; iterative algorithm; prospecting; pulsed borehole radar; space marching inversion algorithm; terrestrial electricity; time-domain; transmission line matrix; two-dimensional variations; Conductivity; Electromagnetic modeling; Image reconstruction; Iterative algorithms; Jacobian matrices; Radar imaging; Spaceborne radar; Time domain analysis; Transmission line matrix methods; Transmitters;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing, IEEE Transactions on
Publisher
ieee
ISSN
0196-2892
Type
jour
DOI
10.1109/36.387571
Filename
387571
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