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Abstract

Factorial kriging or kriging with filtering (Matheron, 1982) is used on post-stack or pre-stack seismic dataset to filter out unwanted components from the seismic signal. To account for non-stationarity that is often encountered within seismic data sets, kriging parameters can be locally set using Local Geo-Statistics (LGS) or M-GS (Moving-GeoStatistics) (Magneron, 2009). There are several approaches to compute the optimized parameters; local variogram parameters in adjacent areas, automatic cross-validation techniques and morphological analysis. The paper focuses on the latter approach. The idea is to determine some interesting characteristics of a seismic image that should then be transformed to local kriging parameters for the variogram model and the neighbourhood extension. Mathematical morphology techniques provide a set of tools to analyse the image, however they are not well known by geophysicists who are more familiar with seismic attributes. A seismic attribute is a quantity extracted or derived from seismic data that can be analysed in order to enhance information of a seismic image. The advantage of using seismic attributes is that they are available on common geophysical interpretation software packages. Surprisingly there is no much reference of the application of such attributes to derive the local parameters of the geostatistical filters.

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/content/papers/10.3997/2214-4609.201413603
2015-09-07
2024-03-19
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