Abstract
Summary Seismic attributes are routinely used to assist for seismic interpretation and reservoir characterization. The more commonly used geometric attributes include 1) reflector dipazimuth, 2) coherence, and 3) curvature. Conventionally, we use a constant user-defined window in the attribute generation. Shorter vertical window provides higher resolution but reduced signal-to-noise ratios. Larger vertical windows (greater than the dominant period) may provide greater signal-to-noise ratios but mix stratigraphy. Due to attenuation losses with depth, scattering from rugose surfaces, and velocity increase with depth for depth migrated data, seismic resolution changes within the 3D survey. In this paper we propose a workflow to estimate the seismic attributes using a self-adaptive window size that estimates an “optimal” window sized based on seismic spectral analysis. We test our algorithm on data from an oilfield of East China. The channel and other geological objectives are more clearly compared to our standard fixed-window height seismic attribute calculation.
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