Influential Factors Analysis of Frequency Domain Inverse Q Filtering Based on Effective Quality Factor

Abstract

To overcome the difficulties of layered Q modeling for layered inverse Q filtering in actual data processing, a frequency domain inverse Q filtering method based on effective quality factor was proposed. This method can be applied to the visco-elastic medium in which the effective quality factor vary weakly in horizontal direction. A threshold constrained, high frequency maintained stabilization controlling strategy was represented to ensure the stability of arithmetic in actual data processing. Some influential factors, such as Signal-to-Noise ratio, the accuracy of effective quality factor, threshold size, tuning parameters selection, that impact compensation effect of inverse Q filtering are researched. This research can provide beneficial guidance for using inverse Q filtering correctly in actual data processing.