Fast computation of the sliding-window Radon transform applied to 3-D seismic attribute extraction
نویسنده
چکیده
The improved quality and dense sampling of 3-D seismic data has greatly increased the e ectiveness of attribute analysis for seismic interpretation. The availability of seismic attribute images and cubes can greatly facilitate the interpretation of large and complex data volumes. Many seismic attributes that are currently in use are based on parameters that bring forward changes of signal characteristics with time and across traces. Volume-dip (Steeghs et al., 1998) and coherence (Marfurt et al., 1998) attributes illustrate how a rapid change in the characteristics of the 3D signal generally indicates a geological discontinuity. It is this one-to-one relation of signal characteristics with geological features that underlies the added value of seismic attribute images.
منابع مشابه
Fast computation of the sliding - window
We have developed a fast and robust algorithm for the extraction of 3-D seismic attributes. The algorithm is based on the recursive computation of the 3-D sliding-window Radon transform. Considerable gain in computational eeciency has been achieved with respect to existing algorithms. Field data results demonstrate the eeectiveness of the method for 3-D seismic interpretation.
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