The Study of Inverse Q-filter for Seismic Resolution Enhancement

Theoretically, if we estimate accurate Q factor from VSP data and use it for inverse Q-filter in seismic data processing, then time-variant wavelet can be eliminated, and the resolution of seismic data can be enhanced. In order to control the numerical instability of inverse Q-filter amplitude compensation, a large number of papers studying the gain-limit constrained stable factor inverse Q-filter amplitude compensation method. But, the stable factor inverse Q-filter with the medium Q value cannot certainly improve the seismic data resolution, so we should study how to optimize the gain-limit and Q value estimated from zero-offset VSP data in order to improve the resolution and control the S/N ratio.In this paper, we focus on understanding the influence of the gain-limit and Q value, and introducing the select criterion of gain-limit and Q value. The result of synthetic data and VSP-driven inverse Q-filter for surface seismic data demonstrate that the select criterion is reliable.