Faculdade de Geofísica - FAGEOF/IG
URI Permanente desta comunidadehttps://repositorio.ufpa.br/handle/2011/2544
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Navegando Faculdade de Geofísica - FAGEOF/IG por Assunto "Deconvolução"
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Item Acesso aberto (Open Access) Filtros ótimos: efeitos de janelas e de tipo de fase(2003-06) LEITE, Lourenildo Williame Barbosa; ALVES, Fábio José da CostaThe central objective under investigation in this paper is the performance of WHL deconvolution operators for the compression of the seismic source-pulse under the conditions of non-minimum phase and density of events on the trace, as is the case supported for the real data and batch deconvolution. The method of attack to the constructed problems is centered on the information content of the autocorrelation function submitted to different conditions of: (a) the truncation and taper windows; (b) the characteristics of the operator phase (if minimum or non-minimum phase); (c) the measure of quality; (d) the whitening level; (e) the noise present and equalization; (f) the balancing of the trace; (g) the physical principles of wave propagation as expressed and limited by the convolutional model. Results can only be obtained numerically, and they are shown in the form of albums with increasing difficulties, and they demonstrate how the time windows on the autocorrelation serve to diagnostic and to improve the performance of the operators. We conclude that many questions still arise when deconvolution techniques are applied to seismic reflection data from sedimentary basins, and that the Goupillaud model is convenient for simulations through its simple and complete mathematical description.Item Acesso aberto (Open Access) Treatment of geophysical data as a non-stationary process(2003) ROCHA, Marcus Pinto da Costa da; LEITE, Lourenildo Williame BarbosaThe Kalman-Bucy method is here analized and applied to the solution of a specific filtering problem to increase the signal message/noise ratio. The method is a time domain treatment of a geophysical process classified as stochastic non-stationary. The derivation of the estimator is based on the relationship between the Kalman-Bucy and Wiener approaches for linear systems. In the present work we emphasize the criterion used, the model with apriori information, the algorithm, and the quality as related to the results. The examples are for the ideal well-log response, and the results indicate that this method can be used on a variety of geophysical data treatments, and its study clearly offers a proper insight into modeling and processing of geophysical problems.