Application of Multivariate EMD to Improve Quality VLF-EM Data: Synthetic and Fields Data

Sungkono Sungkono; Ayi S. Bahri; Bagus J. Santosa

doi:10.4028/www.scientific.net/AMM.771.170

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 771Application of Multivariate EMD to Improve Quality...

Application of Multivariate EMD to Improve Quality VLF-EM Data: Synthetic and Fields Data

Abstract:

A method for enhancing VLF˗EM data based on Multivariate Empirical Mode Decomposition (EMD) was presented. The noise assisted multivariate empirical mode decomposition (NA-MEMD) approach to simultaneously decompose bivariate data.The NA-MEMD is applied to enhance bivariate VLF˗EM data. The method was also tested on a synthetic and two fields VLF-EM data sets. The results indicate that the filtered VLF˗EM data based on the NA-MEMD results better data and easier to interpret or further analyzed. In addition, the 2D resistivity profile result estimated from the inversion of filtered VLF˗EM data is appropriate to geological condition.

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Periodical:

Applied Mechanics and Materials (Volume 771)

Pages:

170-173

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.771.170

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Online since:

July 2015

Authors:

Sungkono Sungkono*, Ayi S. Bahri, Bagus J. Santosa

Keywords:

Na-MEMD, Non-Stationary Noise, Resistivity Imaging, VLF-Em

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