What is it about?
Acoustic impedance (AI) is an important parameter in geological interpretation of seismic data. The recorded seismic signal is nonstationary or in other words, the seismic wavelet is time-varying in the seismogram. Traditional AI inversion didn't take it into consideration. Here, we provided a scheme to address this problem. Concomitant problems about Q-value estimation and source wavelet determination methods were also provided.
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Why is it important?
Previous researches adopted constant Q-valu and extracted source wavelet in nonstationary acoustic impedance (AI) inversion. Our algorithm can yield time-varying equivalent Q-value and more accurate source wavelet for the purpose of improving AI inversion accuracy.
Perspectives
I hope this artical can give you some inspiration when you deal with attenuated seismic signal.
Yaju Hao
China University of Petroleum Beijing
Read the Original
This page is a summary of: Nonstationary acoustic-impedance inversion algorithm via a novel equivalent Q-value estimation scheme and sparse regularizations, Geophysics, November 2018, Society of Exploration Geophysicists,
DOI: 10.1190/geo2018-0111.1.
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