Open AccessMultiple attenuation methods in short-offset 2D marine seismic data: a case study in Cendrawasih Bay
Author(s) -
N. H. Yuza,
Tumpal Bernhard Nainggolan,
Henry M. Manik
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/429/1/012031
Subject(s) - multiple , deconvolution , offset (computer science) , attenuation , ringing , seismic energy , wavelet , filter (signal processing) , radon transform , acoustics , geology , algorithm , seismology , computer science , physics , optics , mathematics , mathematical analysis , arithmetic , artificial intelligence , computer vision , programming language
Real marine seismic data are typically embedded with free-surface multiples energy, which are troublesome in imaging an accurate seismic cross-section. In addition, more challenging situation is to bring optimum result with a short-offset streamer due to the coherent nature of multiples. In this study, we present a comparison of three methods for attenuating free-surface multiples energy in short-offset 2D seismic data from Cendrawasih Bay. Multiple attenuation methods include F-K filter, Radon transform, and Surface Related Multiple Elimination (SRME) are processed until the final Pre-Stack Time Migration (PSTM) results. Predictive deconvolution is applied in order to suppress short period multiples prior to free-surface multiple attenuation method. Predictive deconvolution successfully identifies and removes the predictable wavelet of short period multiples. Radon transform shows poor result in short-offset seismic data even if it is combined with F-K filter method. Combination of both F-K filter and SRME are successfully attenuate free-surface multiples and should be considered as proper solution to increase signal to noise ratio.