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A Hybrid Group Search Optimizer with Opposition-Based Learning and Differential Evolution Read chapter Read first chapter

2016 | OriginalPaper | Chapter

The Comparisons Between the Improved Numerical Mode-Matching Method (NMM) and the Traditional NMM Using for Resistivity Logging

Authors : Dun Yueqin, Kong Yu

Published in: Computational Intelligence and Intelligent Systems

Publisher: Springer Singapore

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Abstract

Based on the analysis and comparison of existing numerical mode-matching method (NMM), an improved NMM is proposed in this paper. A new type of recursive formulas is derived by setting the proper positions for the unknown variables, and recursive formulas are unified to one form for the layers above and under source, avoiding the disadvantage of the traditional NMM to deduce the recursive formulas for the layers above and under source respectively. It is easy to understand and has concise physical meaning. But the incremental factor in the recursive formulas can’t be eliminated thoroughly, which may affect the calculation accuracy and stability. Finally, the merits and demerits of the improved method and the traditional one are summarizes.

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Metadata
Title
The Comparisons Between the Improved Numerical Mode-Matching Method (NMM) and the Traditional NMM Using for Resistivity Logging
Authors
Dun Yueqin
Kong Yu
Copyright Year
2016
Publisher
Springer Singapore
Book
Computational Intelligence and Intelligent Systems

Print ISBN: 978-981-10-0355-4

Electronic ISBN: 978-981-10-0356-1

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-981-10-0356-1_26

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