The inverse Q filtering is one of the most effective method for tackling the earth attenuation. Stability and

efficiency are two problems of general concern in inverse Q filtering. In this paper, a stabilized inverse Q filtering was

implemented and compared with the conventional gain-limited inverse Q filtering by theoretical model and actual seismic data. The

results show that the stabilized inverse Q filtering can recover effectively the attenuation of the seismic data and restrict

intelligently the attempt to amplify the ambient noise. At the same time, the effects of noise level and specified gain limit

Glim on the stabilized inverse Q filtering are also analyzed in this paper.