Seismic Inverse Q FilteringISBN: 9781405185400
248 pages
May 2008, WileyBlackwell

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 signaltonoise 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.
1. Introduction to inverse Q filtering.
1.1 The earth Q effect on seismic waves.
1.2 Inverse Q filters.
1.3 The effectiveness of inverse Q filtering.
Part I: Mathematical Q models.
2. Kolsky’s model for seismic attenuation and dispersion.
2.1 Kolsky’s attenuationdispersion model.
2.2 Modification to the Kolsky model.
2.3 Accurate velocity dispersion correction.
2.4 Comparison with different Q models.
3. Mathematical definition of the earth Q models.
3.1 Mathematical definition of Q.
3.2 Kolsky’s Q model and the complex wavenumber.
3.3 The Strick–Azimi Q model.
3.4 Kjartansson’s constantQ model.
3.5 Azimi’s second and third Q models.
3.6 Müller’s Q model.
3.7 The Zener or standard linear solid model.
3.8 The Cole–Cole Q model.
3.9 A general linear model.
Part II: Inverse Q filters.
4. Stabilized inverse Q filtering algorithm.
4.1 Basics of inverse Q filtering.
4.2 Numerical instability of inverse Q filtering.
4.3 Stabilized inverse Q filter.
4.4 Comparison with gainlimited inverse Q filter.
4.5 Comparison with a conventional inverse Q filter.
4.6 Synthetic and real data examples.
5. Inverse Q filtering for phase and amplitude separately.
5.1 Phaseonly inverse Q filtering.
5.2 Amplitudeonly inverse Q filtering.
5.3 Forward Q filtering.
5.4 Summary of inverse and forward Q filters by downward.
continuation.
5.5 Different stabilization schemes.
6. Layered implementation of inverse Q filters.
6.1 The layered approach to inverse Q filtering.
6.2 Inverse Q filtering within a constantQ layer.
6.3 Phase or amplitudeonly inverse Q filtering.
6.4 Forward Q filtering.
6.5 Application of layered inverse Q filtering.
7. Inverse Q filtering in the Gabor transform domain.
7.1 Stabilized inverse Q filter.
7.2 The Gabor transform.
7.3 Inverse Q filtering by Gabor transform.
7.4 Forward Q filtering by Gabor transform.
7.5 An empirical formula for the stabilization factor.
8. The effectiveness of stabilized inverse Q filtering.
8.1 Inverse Q filtering of a land seismic section.
8.2 Flattening the amplitude spectrum and strengthening.
the relative amplitude.
8.3 Increasing the spectral bandwidth.
8.4 Improving the signaltonoise ratio.
8.5 Enhancing seismic resolution.
8.6 Sensitivity of the resolution enhancement to Q values.
9. Migration with inverse Q filtering.
9.1 Inverse Q filtered migration in the wavenumberfrequency.
domain.
9.2 Stabilized migration with lateral variation in velocity.
and Q models.
9.3 The implicit finitedifference extrapolator in the spacefrequency.
domain.
9.4 Migration examples.
Part III: Q estimation.
10. Q estimation from vertical seismic profiling data.
10.1 The attenuation effect on VSP waveform.
10.2 Spectral ratio method for Q estimation.
10.3 The multitaper technique for spectral estimation.
10.4 Robust Q estimation from real VSP data.
11. Q analysis from reflection seismic data.
11.1 Q analysis based on amplitude attenuation.
11.2 Q analysis based on amplitude compensation.
11.3 IntervalQ calculation by linear inversion.
11.4 Q analyses on the PP and PSV wave sections.
12. Crosshole seismic tomography for the Q model.
12.1 Inverse theory for waveform tomography.
12.2 Issues in real data application.
12.3 Waveform inversion for the velocity model.
12.4 Waveform tomography for the attenuation model.
References.
Author index.
Subject index