A finite difference algorithm for 3D modeling of magnetotelluric data is presented. The algorithm, MT_3D_EA, (Magnetotelluric 3-Dimensional Eigenmode Approach) uses eigenmodes for solving the relevant partial differential equation wherein only a small subset of eigenvalues and corresponding eigenvectors are required to achieve satisfactory results. The requisite small subset (pre-specified number) of eigenmodes are obtained by using shift and invert implementation of Implicitly Restarted Arnoldi Method (IRAM). It is analyzed that only 10-15% smallest eigenvalues and corresponding eigenvectors are sufficient to obtain the acceptable solution. Using this approach one can find multi-frequency solution almost at the computational cost of single frequency solution. 3D results for synthetic models taken from COMMEMI project report and simulation results for simplified geoelectrical model of Garhwal Himalaya based on field data are presented as experiment design.
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A finite difference algorithm for 3D modeling of magnetotelluric data is presented. The algorithm, MT_3D_EA, (Magnetotelluric 3-Dimensional Eigenmode Approach) uses eigenmodes for solving the relevant partial differential equation wherein only a small subset of eigenvalues and corresponding eigenvectors are required to achieve satisfactory results. The requisite small subset (pre-specified number) of eigenmodes are obtained by using shift and invert implementation of Implicitly Restarted Arnoldi Method (IRAM). It is analyzed that only 10-15% smallest eigenvalues and corresponding eigenvectors are sufficient to obtain the acceptable solution. Using this approach one can find multi-frequency solution almost at the computational cost of single frequency solution. 3D results for synthetic models taken from COMMEMI project report and simulation results for simplified geoelectrical model of Garhwal Himalaya based on field data are presented as experiment design.
Dr. Sri Niwas (b. 1946) joined IIT Roorkee in 1977,became full Professor in 1990, received prestigious Shanti Swarup Bhatnagar Prize of Government of India,elected Fellows of Indian Academy of Science,FASc , Indian National Science Academy, FNA, National Academy of Sciences,FNASc, published 100 research papers. He is an active member of SEG, USA.
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Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Niwas SriDr. Sri Niwas (b. 1946) joined IIT Roorkee in 1977,became full Professor in 1990, received prestigious Shanti Swarup Bhatnagar Prize of Government of India,elected Fellows of Indian Academy of Science,FASc , Indian National. Nº de ref. del artículo: 5519847
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Taschenbuch. Condición: Neu. 3D simulation of magnetotelluric data | simulation using eigenmode approach | Sri Niwas (u. a.) | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783848405046 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Nº de ref. del artículo: 106587506
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A finite difference algorithm for 3D modeling of magnetotelluric data is presented. The algorithm, MT_3D_EA, (Magnetotelluric 3-Dimensional Eigenmode Approach) uses eigenmodes for solving the relevant partial differential equation wherein only a small subset of eigenvalues and corresponding eigenvectors are required to achieve satisfactory results. The requisite small subset (pre-specified number) of eigenmodes are obtained by using shift and invert implementation of Implicitly Restarted Arnoldi Method (IRAM). It is analyzed that only 10-15% smallest eigenvalues and corresponding eigenvectors are sufficient to obtain the acceptable solution. Using this approach one can find multi-frequency solution almost at the computational cost of single frequency solution. 3D results for synthetic models taken from COMMEMI project report and simulation results for simplified geoelectrical model of Garhwal Himalaya based on field data are presented as experiment design. Nº de ref. del artículo: 9783848405046
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