Fast numerical modeling of multitransmitter electromagnetic data using multigrid quasi-linear approximation

• Published in: IEEE transactions on geoscience and remote sensing Vol. 44; no. 6; pp. 1428 - 1434
• Main Authors: Ueda, T., Zhdanov, M.S.
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.06.2006; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Applied geophysics; Approximation; Conductivity; Earth sciences; Earth, ocean, space; Electric variables measurement; Electromagnetic (EM); Electromagnetic modeling; Exact sciences and technology; Exploration; Geoelectricity; Geologic measurements; Geology; Geophysical measurements; Geophysics; Internal geophysics; Mathematical analysis; Mathematical models; multigrid approach; multitransmitter modeling; Numerical models; Petroleum; quasilinear (QL) approximation; Receivers; Surveys; Tensile stress; Transmitters; multitransmitter modeling; algorithms; electromagnetic waves; exploration; interpretation; new methods; quasilinear (QL) approximation; numerical models; simulation; Electromagnetic (EM); remote sensing; multigrid approach
• ISSN: 0196-2892; 1558-0644
• DOI: 10.1109/TGRS.2006.864386

Multitransmitter electromagnetic (EM) surveys are widely used in remote-sensing and geophysical exploration. The interpretation of the multitransmitter geophysical data requires numerous three-dimensional (3-D) modelings of the responses of the receivers for different geoelectrical models of complex geological formations. In this paper, we introduce a fast method for 3-D modeling of EM data, based on a modified version of quasilinear approximation, which uses a multigrid approach. This method significantly speeds up the modeling of multitransmitter-multireceiver surveys. The developed algorithm has been applied for the interpretation of marine controlled-source electromagnetic (MCSEM) data. We have tested our new method using synthetic problems and for the simulation of MCSEM data for a geoelectrical model of a Gemini salt body.