Seismic Inverse Q Filtering
John Wiley & Sons, 26. jan. 2009 - 248 sider
Seismic inverse Q filtering is a data processing technology for enhancing the resolution of seismic images. It employs a wave propagation reversal procedure that compensates for energy absorption and corrects wavelet distortion due to velocity dispersion. By compensating for amplitude attenuation, seismic data can provide true relative-amplitude information for amplitude inversion and subsequent reservoir characterization. By correcting the phase distortion, seismic data with enhanced vertical resolution can yield correct timings for lithological identification.
This monograph presents the theory of inverse Q filtering and a series of algorithms, collected with the following selection criteria in mind: robustness, effectiveness and practicality.
The book is written for processing geophysicists who are attempting to improve the quality of seismic data in terms of resolution and signal-to-noise ratio, as well as for reservoir geophysicists who are concerned about seismic fidelity in terms of true amplitudes, true timings and true frequencies. It will also be particularly valuable as a guide for seasoned geophysicists who are attempting to develop seismic software for various research settings. Finally, it can be used as a reference work or textbook for postgraduate students in seismic and reservoir geophysics.
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¼ º amplitude compensation amplitude operator amplitude spectrum amplitude-attenuation amplitude-only inverse Q approximated attenuation coefficient attenuation effect attenuation model Azimi chapter conventional inverse Q defined depth dispersion relation domain downward continuation earth Q model expression extrapolation filtered migration filtered result formula forward Q filtering Fourier transform frequency components frequency-domain Gabor transform gain-limited inverse iexp inverse problem inverse Q filtering linear solid model method P-SV wave parameters phase velocity phase-only inverse plane wave Q analysis Q estimation Q filtering algorithm Q function Q values real data reflection seismic S/N ratio seismic resolution seismic section seismic waves shown in Figure signal-to-noise ratio solid lines spectral leakage spectral ratio stabilized inverse standard linear solid subsurface synthetic seismic trace taper time-variant traveltime velocity and Q velocity dispersion velocity model vertical VSP data Wang wave equation wave propagation wavefield waveform inversion waveform tomography wavelet wavenumber window