PECT Analytical Modeling Fast Calculation Method of Multilayer Ferromagnetic Casings

Pulsed eddy current testing (PECT) is an effective approach for the nondestructive evaluation of downhole multilayer ferromagnetic casings. However, the time overhead of conventional analytical modeling is undesirable for casing parameter inversion. To improve the time overhead, this article propose...

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Bibliographic Details
Published in:IEEE sensors journal 2024-09, Vol.24 (18), p.28909-28920
Main Authors: Sun, Hu, Zhang, Shilong, Deng, Yong, Zhang, He
Format: Article
Language:English
Subjects:
Accuracy
Algorithms
Analytical modeling
Analytical models
Coils
Data analysis
Eddy current testing
Eddy currents
Ferromagnetism
fixed-Talbot algorithm (FTA)
inverse Laplace transform
Laplace equations
Laplace transforms
multilayer casings
Multilayers
Nondestructive testing
Nonhomogeneous media
pulsed eddy current testing (PECT)
Testing
Transient response
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Summary:Pulsed eddy current testing (PECT) is an effective approach for the nondestructive evaluation of downhole multilayer ferromagnetic casings. However, the time overhead of conventional analytical modeling is undesirable for casing parameter inversion. To improve the time overhead, this article proposed an analytical modeling fast calculation method based on the complex-frequency-domain expression of the PECT and a numerical inverse Laplace transform algorithm. Specifically, the numerical inverse Laplace transform method fixed-Talbot algorithm (FTA) is implemented in the calculation, which computes the inverse Laplace transform rapidly and accurately. The proposed FTA enables the fast analytical modeling calculation of both single-casing and multilayer casings. Numerical and practical experiments are conducted to validate the efficiency and accuracy of the proposed FTA-based analytical modeling. The experimental results indicate that the time overhead of the FTA-based modeling is improved compared with the conventional residue theorem (RT)-based analytical modeling, and the theoretical data obtained with the proposed modeling also show good consistency with the experimental data.
ISSN:1530-437X
1558-1748
DOI:10.1109/JSEN.2024.3439717