Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/60498
Type: Artigo de periódico
Title: Interpretation of seismic multiattributes using a neural network
Author: Kuroda, MC
Vidal, AC
de Carvalho, AMA
Abstract: Geological bodies in 2D seismic section are characterized by differences from the surrounding response. These differences can be highlighted by attributes that are sensitive to the desired feature. In this paper the attributes were carefully chosen and trained by a neural network. These seismic attributes are transformed into a new attribute that allows a different view of the seismic lines. The database used for this study is a 2D seismic line of the Taubate Basin, Sao Paulo State, Brazil. Two seismic sets were analyzed and the results bring out the horizons and the boundary between seismic units, which helps a better understanding of the evolution of the Taubate sedimentary basin. (C) 2012 Elsevier B.V. All rights reserved.
Subject: Seismic attributes
Neural network
Self-Organizing Map
Taubate Basin
Country: Holanda
Editor: Elsevier Science Bv
Rights: fechado
Identifier DOI: 10.1016/j.jappgeo.2012.06.009
Date Issue: 2012
Appears in Collections:Unicamp - Artigos e Outros Documentos

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