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Crosswell electromagnetic modeling from impulsive source: Optimization strategy for dispersion suppression in convolutional perfectly matched layer
This study applied the finite-difference time-domain (FDTD) method to forward modeling of the low-frequency crosswell electromagnetic (EM) method. Specifically, we implemented impulse sources and convolutional perfectly matched layer (CPML). In the process to strengthen CPML, we observed that some d...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5009321/ https://www.ncbi.nlm.nih.gov/pubmed/27585538 http://dx.doi.org/10.1038/srep32613 |
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author | Fang, Sinan Pan, Heping Du, Ting Konaté, Ahmed Amara Deng, Chengxiang Qin, Zhen Guo, Bo Peng, Ling Ma, Huolin Li, Gang Zhou, Feng |
author_facet | Fang, Sinan Pan, Heping Du, Ting Konaté, Ahmed Amara Deng, Chengxiang Qin, Zhen Guo, Bo Peng, Ling Ma, Huolin Li, Gang Zhou, Feng |
author_sort | Fang, Sinan |
collection | PubMed |
description | This study applied the finite-difference time-domain (FDTD) method to forward modeling of the low-frequency crosswell electromagnetic (EM) method. Specifically, we implemented impulse sources and convolutional perfectly matched layer (CPML). In the process to strengthen CPML, we observed that some dispersion was induced by the real stretch κ, together with an angular variation of the phase velocity of the transverse electric plane wave; the conclusion was that this dispersion was positively related to the real stretch and was little affected by grid interval. To suppress the dispersion in the CPML, we first derived the analytical solution for the radiation field of the magneto-dipole impulse source in the time domain. Then, a numerical simulation of CPML absorption with high-frequency pulses qualitatively amplified the dispersion laws through wave field snapshots. A numerical simulation using low-frequency pulses suggested an optimal parameter strategy for CPML from the established criteria. Based on its physical nature, the CPML method of simply warping space-time was predicted to be a promising approach to achieve ideal absorption, although it was still difficult to entirely remove the dispersion. |
format | Online Article Text |
id | pubmed-5009321 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-50093212016-09-08 Crosswell electromagnetic modeling from impulsive source: Optimization strategy for dispersion suppression in convolutional perfectly matched layer Fang, Sinan Pan, Heping Du, Ting Konaté, Ahmed Amara Deng, Chengxiang Qin, Zhen Guo, Bo Peng, Ling Ma, Huolin Li, Gang Zhou, Feng Sci Rep Article This study applied the finite-difference time-domain (FDTD) method to forward modeling of the low-frequency crosswell electromagnetic (EM) method. Specifically, we implemented impulse sources and convolutional perfectly matched layer (CPML). In the process to strengthen CPML, we observed that some dispersion was induced by the real stretch κ, together with an angular variation of the phase velocity of the transverse electric plane wave; the conclusion was that this dispersion was positively related to the real stretch and was little affected by grid interval. To suppress the dispersion in the CPML, we first derived the analytical solution for the radiation field of the magneto-dipole impulse source in the time domain. Then, a numerical simulation of CPML absorption with high-frequency pulses qualitatively amplified the dispersion laws through wave field snapshots. A numerical simulation using low-frequency pulses suggested an optimal parameter strategy for CPML from the established criteria. Based on its physical nature, the CPML method of simply warping space-time was predicted to be a promising approach to achieve ideal absorption, although it was still difficult to entirely remove the dispersion. Nature Publishing Group 2016-09-02 /pmc/articles/PMC5009321/ /pubmed/27585538 http://dx.doi.org/10.1038/srep32613 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Fang, Sinan Pan, Heping Du, Ting Konaté, Ahmed Amara Deng, Chengxiang Qin, Zhen Guo, Bo Peng, Ling Ma, Huolin Li, Gang Zhou, Feng Crosswell electromagnetic modeling from impulsive source: Optimization strategy for dispersion suppression in convolutional perfectly matched layer |
title | Crosswell electromagnetic modeling from impulsive source: Optimization strategy for dispersion suppression in convolutional perfectly matched layer |
title_full | Crosswell electromagnetic modeling from impulsive source: Optimization strategy for dispersion suppression in convolutional perfectly matched layer |
title_fullStr | Crosswell electromagnetic modeling from impulsive source: Optimization strategy for dispersion suppression in convolutional perfectly matched layer |
title_full_unstemmed | Crosswell electromagnetic modeling from impulsive source: Optimization strategy for dispersion suppression in convolutional perfectly matched layer |
title_short | Crosswell electromagnetic modeling from impulsive source: Optimization strategy for dispersion suppression in convolutional perfectly matched layer |
title_sort | crosswell electromagnetic modeling from impulsive source: optimization strategy for dispersion suppression in convolutional perfectly matched layer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5009321/ https://www.ncbi.nlm.nih.gov/pubmed/27585538 http://dx.doi.org/10.1038/srep32613 |
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