CONCLUSIONS

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.