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In this study, texture attribute analysis application to 3D surface seismic data is presented. This is done by choosing a cubic texel from the seismic data to generate a grey-level occurrence matrix, which in turn is used to compute secondo rder statistical measures of textural characteristics. The cubic texel is then successively made to glide through the 3D seismic volume to transform it to a plurality of texture attributes. Application of texture attributes to two case studies from Alberta confirm that these attributes enhance understanding of the reservoir by providing a clearer picture of the distribution, volume and connectivity of the hydrocarbon bearing facies in the reservoir.

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