CONCLUSION

The critical point in the attainment of an elastic wavefield in marine environments is the process of separation of the several modes that cohabit in the recorded data. Particularly important is the step regarding the deconvolution of water-bottom multiples and peg-legs, that will share a common range of horizontal slownesses with the converted modes associated with deep reflectors. The use of a constant slowness filter in the $\omega$-k_x domain proves to be ineffective for deep reflectors, for which even the converted modes have a small ray parameter value. The usual solution is to perform the splitting process in the $\tau$-p domain, in which an appropriate filter can be designed for each particular case. In this paper an alternative method was introduced: it makes use of Snell rays to delimit zones of different P wave horizontal slownesses in the data, and applies a different filter to each region. Although a better treatment of the multiples is still required, the method shows to be effective even in a conventional survey. The next step is the application of the whole process in a more appropriate dataset (long cable, small group interval, etc.).