TY  - CONF
AV  - none
KW  - Geology; Geophysical prospecting; Seismic response; Seismic waves; Signal processing
KW  -  Adaptive wavelets; Amplitude spectra; Basis functions; Coherent noise; Filtering applications; High frequency HF; High-precision; Noise attenuation
KW  -  Wavelet transforms
TI  - Application of empirical wavelet transform in coherent noise attenuation in high frequency marine seismic data
ID  - scholars10674
N1  - cited By 2; Conference of 1st EAGE Reservoir Geoscience Conference, ResGeo 2018 ; Conference Date: 3 December 2018 Through 5 December 2018; Conference Code:163285
N2  - 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.
PB  - European Association of Geoscientists and Engineers, EAGE
Y1  - 2018///
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85064113418&doi=10.3997%2f2214-4609.201803285&partnerID=40&md5=68fd979d55bb12906a75a8cd17c27d0a
A1  - Wei Yi, L.
A1  - Hamidi, R.
A1  - Ghosh, D.
A1  - Hermana, M.
A1  - Soleimani, H.
A1  - Musa, M.H.
ER  -