Q Inversion and Comparison of Influential Factors among Three Methods: CFS, SR, and AA
作者机构：School of Geological and Surveying&Mapping EngineeringChang’an UniversityXi’an 710064P.R.China School of CML Engineering&ArchitectureNingbo Institute of TechnologyZhejiang UniversityNingbo 315100P.R.China
出 版 物：《Communications in Computational Physics》 (计算物理通讯（英文）)
年 卷 期：2020年第28卷第6期
页 面：356-371页
核心收录：
学科分类：070801[理学-固体地球物理学] 07[理学] 0708[理学-地球物理学]
基 金：supported by the Fundamental Research Funds for the Central Universities(Grant No.300102268212) Postdoctoral Science Foundation(2013M540756,2014T70925)and the Shaanxi Natural Science Foundation(2014JQ2-4019)
主 题：Q inversion centroid frequency shift amplitude attenuation spectral ratio zero-offset VSP data
摘 要：The goals of this study were to examine factors influencing Q inversion and to provide references for practical *** different methods for inverting Q values with VSP data were explored,including centroid frequency shift(CFS),spectral ratio(SR),and amplitude attenuation(AA).Comparison between the CFS and the other two methods was conducted on frequency band widths and low attenuation,wavefield components,interface interference,and thin *** from several sets of VSP modeling data indicated that the CFS method is more stable and accurate for dealing with thin and high Q *** band width,especially the presence of high frequencies,influences the inversion effect of all three *** wider the band,the better the results.Q inversion from downgoing wavefield was very similar to that of the upgoing *** CFS method had fewer outliers or skip values from the full wavefield than the other two ***,the applications to Q inversion for the set of field VSP data demonstrated that the Q curves from the CFS method coincided with the geological interpretations better than the Q curves of the other ***,inverse Q filtering shifted the frequency component from 25 Hz to 35 *** results demonstrated that the Q curve is more sensitive to geological horizons than velocity.
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