Application of the CO-CRS method for seismic data regularization

Reflection seismic is a technique widely used for geophysical studies of petroleum. However, during the seismic acquisition, operational obstacles cause the acquired seismic data to be irregular, containing distortions and gaps. This irregular sampling impairs several stages of seismic processing such as imaging, elimination of multiple, migration and inversion. Interpolation and regularization methods can solve both missing data and irregular sampling. Thereby, the regularization of seismic data is an important problem to be addressed. As we intend to show in this work, the common reflection surface method for common offset (CO-CRS) with global attributes search strategy is a good alternative for regularization, since it can reconstruct traces from the acquired data and also is capable of improving the definition of reflection events existing in the data.