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Geostatistical Seismic Data Processing: Equivalent to Cassical Seismic Processing + Uncertainties!Normal access

Authors: A. Shtuka, L. Sandjivy, J. L. Mari, J. F. Dutzer, F. Piriac and R. Gil
Event name: 73rd EAGE Conference and Exhibition incorporating SPE EUROPEC 2011
Session: Novel Schemes in Seismic Processing
Publication date: 23 May 2011
DOI: 10.3997/2214-4609.20149188
Organisations: SPE, EAGE
Language: English
Info: Extended abstract, PDF ( 672.68Kb )
Price: € 20

Summary:
Geostatistical ``filters'' using Factorial Kriging are increasingly used for cleaning geophysical data sets from organized spatial noises that are difficult to get rid of by standard geophysical filtering. The understanding and handling of such kind of spatial processing is not easy for geophysicists who are neither used nor trained to handle stochastic models. In this paper we demonstrate the formal equivalence between Factorial Kriging models and usual geophysical filters (Wiener, (F,k), Median) and the added value of stochastic modelling that is the quantification of the quality of the filtering process. Cases studies on pre stack gathers and VSP wave separation illustrate the fact that theses stochastic techniques are generic and apply to all filtering contexts.


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