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We have described an automatic dip-picking algorithm.
The algorithm combines the
linear and non-linear optimization procedures so that it is antialiasing, high
resolution and high accuracy. Examples with synthetic and field data show
several applications of the algorithm in seismic data processing.
The disadvantage of the algorithm is its sensitiveness
to noises. One possible way to attack this problem is to
use absolute values to replace least squares in the objective function.
An important extension of the algorithm is to allow multiple dips.
The success of this extension will make the algorithm much more valuable
than it is now.

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Stanford Exploration Project

1/13/1998