A stable and efficient approach of inverse Q filtering
Author(s) -
Yanghua Wang
Publication year - 2002
Publication title -
geophysics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.178
H-Index - 172
eISSN - 1942-2156
pISSN - 0016-8033
DOI - 10.1190/1.1468627
Subject(s) - inverse , constant (computer programming) , amplitude , inverse filter , continuation , filter (signal processing) , overburden , inverse problem , mathematical analysis , mathematics , fourier transform , function (biology) , stability (learning theory) , frequency domain , control theory (sociology) , computer science , geometry , geology , physics , optics , mining engineering , evolutionary biology , machine learning , computer vision , biology , programming language , control (management) , artificial intelligence
Stability and efficiency are two issues of general concern in inverse Q filtering. This paper presents a stable, efficient approach to inverse Q filtering, based on the theory of wavefield downward continuation. It is implemented in a layered manner, assuming a depth-dependent, layered-earth Q model. For each individual constant Q layer, the seismic wavefield recorded at the surface is first extrapolated down to the top of the current layer and a constant Q inverse filter is then applied to the current layer. When extrapolating within the overburden, instead of applying wavefield downward continuation directly, a reversed, upward continuation system is solved to obtain a stabilized solution. Within the current constant Q layer, the amplitude compensation operator, which is a 2-D function of traveltime and frequency, is approximated optimally as the product of two 1-D functions depending, respectively, on time and frequency. The constant Q inverse filter that compensates simultaneously for phase and amplitude effects is then implemented efficiently in the Fourier domain.
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