Least square regularization inversion of transient electromagnetic method

DOI

10.2991/iceeg-16.2016.44How to use a DOI?

Keywords

transient electromagnetic method,smoothest model constraints,smoke ring inversion,least square regularization inversion

Abstract

The traditional optimization inversion method based on iterative method strongly depends on the selection of the initial model, which may easily leads to the local optimal solution, however, the smoke ring inversion has the advantages of fast calculation and no need of initial model. Therefore,the results of smoke ring inversion were proposed as the initial model, and the Tikhonov's regularization thought was applied to the least square optimization inversion method, then the least square regularization inversion objective function of smoothest model constraints was obtained. Finally, the automatic iterative inversion for one-dimensional layered model of transient electromagnetic method was carried out. the inversion results of high precision were obtained, which proved that the least square regularization inversion algorithm of transient electromagnetic method is effective and feasible.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Fengping Li
AU  - Haiyan Yang
PY  - 2016/06
DA  - 2016/06
TI  - Least square regularization inversion of transient electromagnetic method
BT  - Proceedings of the 7th International Conference on Environment and Engineering Geophysics & Summit Forum of Chinese Academy of Engineering on Engineering Science and Technology
PB  - Atlantis Press
SP  - 160
EP  - 163
SN  - 2352-5401
UR  - https://doi.org/10.2991/iceeg-16.2016.44
DO  - 10.2991/iceeg-16.2016.44
ID  - Li2016/06
ER  -