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Type: Artigo
Title: Improving sparse multichannel blind deconvolution with correlated seismic data: foundations and further results
Author: Nose-Filho, Kenji
Takahata, Andre Kazuo
Lopes, Renato
Romano, Joao Marcos Travassos
Abstract: For more than half a century, seismic deconvolution has been of a great interest in reflection seismics. Its goal is to remove the effect of the seismic wavelet, i.e., the waveform produced by the seismic source, from the data. Its importance to the industry is that it increases the resolution of the seismic image, yielding a more interpretable seismic section. From a theoretical standpoint, what is interesting is that neither the wavelet nor the characteristics of the subsurface are known, which makes the problem particularly challenging. Over the years, several seismic deconvolution approaches have been proposed, based on different assumptions about the seismic wavelet and the reflectivity series
Subject: Ondas sísmicas - Processamento de dados
Country: Estados Unidos
Editor: Institute of Electrical and Electronics Engineers
Rights: Fechado
Identifier DOI: 10.1109/msp.2017.2783379
Date Issue: 2018
Appears in Collections:FEEC - Artigos e Outros Documentos

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