Abstract
Seismic dip calculation is a technique that is commonly used in seismic interpretation and reservoir characterization to emphasize faults and geological features in seismic data. Gradient structure tensor (GST) is one of the techniques using which structural dip and azimuth are estimated. The dominant eigenvector of the positive definite GST matrix is used to calculate the inline and crossline dip of seismic data. We propose an analytic directional gradient structure tensor method, a variant of GST, in which directional derivatives are calculated in the directions perpendicular and parallel to seismic structures. The directional derivatives help in better capturing subtle stratigraphic features of interest in dipping direction. Our method’s accuracy and validity are demonstrated by synthetic and real field seismic data outcomes. Note: This paper was accepted into the Technical Program but was not presented at IMAGE 2022 in Houston, Texas.
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