Effective data denoising using new data driven and model driven algorithms

Effective data denoising using new data driven and model driven algorithms Michele Buia (Eni) Eugenio Loinger (Eni) and Paolo Marchetti (Eni) SUMMARY____________________________________________________________ The noise problem in land seismic is sometimes a real show stopper for a correct geological interpretation; in particular there are environments like thrust belts where it is impossible to get “at least an image” of the subsurface despite a careful processing work. Unfortunately new frontier of exploration sometimes have to deal with such bad areas and with not properly acquired seismic data. In this paper will be described two processing algorithms that demonstrated themselves practically effective in