Application of empirical wavelet transform in coherent noise attenuation in high frequency marine seismic data

Wei Yi, L. and Hamidi, R. and Ghosh, D. and Hermana, M. and Soleimani, H. and Musa, M.H. (2018) Application of empirical wavelet transform in coherent noise attenuation in high frequency marine seismic data. In: UNSPECIFIED.

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Abstract

One of the recent approaches regarding on building adaptive wavelets known as Empirical Wavelet Transform (EWT) which extract various signal modes by designing suitable adaptive wavelet filter bank for signal processing. EWT is self-adapting based on the input data itself and without using prescribe basis function. In this paper, a filter is designed based on EWT method for coherent noise attenuation in marine seismic data. EWT modes for each trace is calculated and the ones containing the noise energy are selected. Next, the selected modes are zeroed out and the remaining modes are used in reconstruction of the data. Comparison of the amplitude spectra before and after filtering application shows that EWT method provides high precision and efficiency for noise attenuation. © EAGE Reservoir Geoscience Conference, ResGeo 2018. All rights reserved.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: cited By 2; Conference of 1st EAGE Reservoir Geoscience Conference, ResGeo 2018 ; Conference Date: 3 December 2018 Through 5 December 2018; Conference Code:163285
Uncontrolled Keywords: Geology; Geophysical prospecting; Seismic response; Seismic waves; Signal processing, Adaptive wavelets; Amplitude spectra; Basis functions; Coherent noise; Filtering applications; High frequency HF; High-precision; Noise attenuation, Wavelet transforms
Depositing User: Mr Ahmad Suhairi UTP
Date Deposited: 09 Nov 2023 16:37
Last Modified: 09 Nov 2023 16:37
URI: https://khub.utp.edu.my/scholars/id/eprint/10674

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