What is it about?
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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Why is it important?
.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
Perspectives
The noise assisted multivariate empirical mode decomposition (NA-MEMD) approach to simultaneously decompose bivariate data
Dr. Ayi Syaeful SBahri Bahri
Departement Geophysics Engineering, Sepuluh Nopember Institute of Technology
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This page is a summary of: Application of Multivariate EMD to Improve Quality VLF-EM Data: Synthetic and Fields Data, Applied Mechanics and Materials, July 2015, Trans Tech Publications,
DOI: 10.4028/www.scientific.net/amm.771.170.
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