Robust seismic reflection Q tomography through adaptive measurement of spectral features

Abstract

In this paper, we describe a robust Q tomographic inversion approach for estimating the subsurface volumetric Q field by using reflection seismic data. The nversion process involves two key stages: adaptively extracting dissipation time information from the change of spectral features of the seismic data in the presence of noise, and integrating the picked dissipation time information from both pre-migration CDP gathers and post-migration CIGs into a ray-based grid tomography for Q model building. This approach can be used together with the Q-PSDM technique to provide better images by honouring the actual wave-paths in both Q estimation and Q compensation. The Q-PSDM results show the reliability of this approach when using it to perform Q estimation in both conventional and broadband seismic data processing.