Treatment of geophysical data as a non-stationary process



Título del documento: Treatment of geophysical data as a non-stationary process
Revista: Computational & applied mathematics
Base de datos: PERIÓDICA
Número de sistema: 000310622
ISSN: 0101-8205
Autores: 1
Instituciones: 1Universidade Federal do Para, Belem, Para. Brasil
Año:
Volumen: 22
Número: 2
Paginación: 149-166
País: Brasil
Idioma: Inglés
Tipo de documento: Artículo
Enfoque: Experimental
Resumen en inglés The 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
Disciplinas: Matemáticas,
Geociencias
Palabras clave: Matemáticas aplicadas,
Geofísica,
Procesos estocásticos,
Datos geofísicos,
Filtro Kalman-Bucy,
Deconvolución,
Estado espacio
Keyword: Mathematics,
Earth sciences,
Applied mathematics,
Geophysics,
Stochastic processes,
Geophysical data,
Kalmann-Bucy filter,
Deconvolution,
State space
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