Abstract
In this study, texture attribute analysis application to 3D surface seismic data is presented. This is done by choosing a cubic texel (texture element) from the seismic data to generate a gray-level occurrence matrix, which in turn is used to compute second-order 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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