Abstract:Deep fault interpretation is usually very difficult due to the limitation of seismic data quality.To solve this problem,we try to use the structure-oriented smoothing method based on gradient structure tensor for poststack seismic data.The method can effectively improve seismic data quality and fault interpretation.The flowchart is shown as below:1Based on raw seismic data,calculate space (or time) direction derivative for each sample,and calculate the gradient structure tensor matrix; 2Calculate eigenvectors of the gradient structure tensor matrix with eigen-decomposition,and construct the diffusion tensor matrix; 3Put the diffusion tensor matrix into the improved partial differential diffusion equation and solve the equation with conjugate-gradient iteration method,and the solution represents output smoothed image.Based on our real data applications,seismic data S/N ratio is greatly improved after structure-oriented smoothing,and fault breakpoints on seismic sections are clearer.So the interpretation results are more reliable.
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