A robust approach of inverse Q filtering with equivalent Q

We propose in this paper an approach of inverse Q filtering with equivalent Q. This approach can not only correct phase distortion by velocity dispersion, but also compensate high-frequency energy loss. It is a robust approach because of stable gain functions by smooth thresholds. For high frequency compensation, a variable band scheme is introduced to suppress side-lobe noise. Unlike normal Q factor, compensation at each point is determined only by equivalent Q at this point which can be estimated by scanning. The approach calculates the derivative of log-spectrum ratio of poststack data to get variable Q field, which removes amplitude tuning from thin layers on seismic data. Tests on synthetic and real data demonstrate that the proposed approach can not only remove noise from seismic data, but also improve data resolution. © 2016, Science Press. All right reserved.