Proceedings of the 7th International Conference on Education, Management, Information and Mechanical Engineering (EMIM 2017)

AIT Inversion and Site Applications Using Various Forward Algorithms

Authors
Zhenhua Liu, Jianbo Dai
Corresponding Author
Zhenhua Liu
Available Online April 2017.
DOI
10.2991/emim-17.2017.225How to use a DOI?
Keywords
Array induction tool; Logging; Inversion; Resistivity; Forward algorithms
Abstract

An inversion algorithms was suggested for array induction logging curves. Three parameters, true-formation resistivity, invasion depth and invasion-zone resistivity, were obtained simultaneously from the present inversion calculation using various forward algorithms. The inversed algorithm using numerical mode-matching method as forward calculation can yield stable and satisfied results. The inversion using geometry factor theory as forward calculation can save more computer time. Synthetic formation models and site applications illustrated the efficiency of the present algorithm.

Copyright
© 2017, 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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Volume Title
Proceedings of the 7th International Conference on Education, Management, Information and Mechanical Engineering (EMIM 2017)
Series
Advances in Computer Science Research
Publication Date
April 2017
ISBN
978-94-6252-356-2
ISSN
2352-538X
DOI
10.2991/emim-17.2017.225How to use a DOI?
Copyright
© 2017, 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/).

Cite this article

TY  - CONF
AU  - Zhenhua Liu
AU  - Jianbo Dai
PY  - 2017/04
DA  - 2017/04
TI  - AIT Inversion and Site Applications Using Various Forward Algorithms
BT  - Proceedings of the 7th International Conference on Education, Management, Information and Mechanical Engineering (EMIM 2017)
PB  - Atlantis Press
SP  - 1118
EP  - 1122
SN  - 2352-538X
UR  - https://doi.org/10.2991/emim-17.2017.225
DO  - 10.2991/emim-17.2017.225
ID  - Liu2017/04
ER  -