An Empirical Analysis of the Influence of Seismic Data Modeling for Estimating Velocity Models with Fully Convolutional Networks

An Empirical Analysis of the Influence of Seismic Data Modeling for Estimating Velocity Models with Fully Convolutional Networks

Seismic modeling is the process of simulating wave propagations in a medium to represent underlying structures of a subsurface area of the earth. This modeling is based on a set of parameters that determine how the data is produced. Recent studies have demonstrated that deep learning methods can be...

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Bibliographic Details
Main Authors:	Luan Rios Campos, Peterson Nogueira, Davidson Moreira, Erick Giovani Sperandio Nascimento
Format:	Article
Language:	English
Published:	International Institute of Informatics and Cybernetics 2019-08-01
Series:	Journal of Systemics, Cybernetics and Informatics
Subjects:	velocity model estimation deep learning fully convolutional networks seismic data analysis geophysics
Online Access:	http://www.iiisci.org/Journal/CV$/sci/pdfs/CK731LW19.pdf

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