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Least squares dip and coherency attributes

J. Bee Bednar

71161.1260@compuserve.com

ABSTRACT

This paper demonstates the effectiveness of local least-squares-dip estimates as coherency attributes in 3-D seismic data volumes. The process is based on the recognition that the magnitude of local slowness estimates, calculated from spatial and time derivatives, are good edge detectors and as a consequence are correlated with events which might also be detected by more sophisticated statistical techniques.



 
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Stanford Exploration Project
10/10/1997