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Geostatistical filtering of 4D seismic data: methods and benefits

Abstract : Geostatistical filtering aims at removing noise and artifacts on seismic volumes by decomposing a signal into spatially independent structures (signal + artifact(s) + noise) and filtering out the undesirable one(s). Multivariate methods allow the identification of common spatial behavior between different seismic volumes, as time-lapse seismic. This paper shows the methodology and benefits of using geostatistical filtering on 4D vintages.
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https://hal-mines-paristech.archives-ouvertes.fr/hal-00821814
Contributor : Didier Renard <>
Submitted on : Monday, May 13, 2013 - 10:38:16 AM
Last modification on : Thursday, September 24, 2020 - 4:34:09 PM

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  • HAL Id : hal-00821814, version 1

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Didier Renard, Renaud Meunier, Matthieu Bourges, Hélène Binet, Nicolas Jeannée, et al.. Geostatistical filtering of 4D seismic data: methods and benefits. 13th International Congress of the Brazilian Geophysical Society & EXPOGEF, Brazilian Geophysical Society & EXPOGEF, Aug 2013, Rio de Janeiro, Brazil. pp.1432-1434. ⟨hal-00821814⟩

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