Tomographic Q Estimation for Viscoacoustic Imaging

Valenciano, A.; Chemingui, Nizar

doi:10.3997/2214-4609.20130040

Cited by 3 publications

(1 citation statement)

References 6 publications

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“…Though several methods for estimating Q p from surface seismic data have been proposed in the past by Brzostowski and McMechan (1992), Hicks and Pratt (2001), Cavalca and Fletcher (2008), Bai et al (2012), and Valenciano and Chemingui (2013), getting a reliable background Q p model for least-squares migration or full-waveform Figure 16b and 16d. The black areas point to the areas in which improvements can be seen.…”

Section: Discussionmentioning

confidence: 99%

Attenuation compensation in least-squares reverse time migration using the visco-acoustic wave equation

Dutta

Lü

Wang

et al. 2013

SEG Technical Program Expanded Abstracts 2013

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Strong subsurface attenuation leads to distortion of amplitudes and phases of seismic waves propagating inside the earth. Conventional acoustic reverse time migration (RTM) and least-squares reverse time migration (LSRTM) do not account for this distortion, which can lead to defocusing of migration images in highly attenuative geologic environments. To correct for this distortion, we used a linearized inversion method, denoted as Q p -LSRTM. During the leastsquares iterations, we used a linearized viscoacoustic modeling operator for forward modeling. The adjoint equations were derived using the adjoint-state method for back propagating the residual wavefields. The merit of this approach compared with conventional RTM and LSRTM was that Q p -LSRTM compensated for the amplitude loss due to attenuation and could produce images with better balanced amplitudes and more resolution below highly attenuative layers. Numerical tests on synthetic and field data illustrated the advantages of Q p -LSRTM over RTM and LSRTM when the recorded data had strong attenuation effects. Similar to standard LSRTM, the sensitivity tests for background velocity and Q p errors revealed that the liability of this method is the requirement for smooth and accurate migration velocity and attenuation models.

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Section: Discussionmentioning

confidence: 99%

Attenuation compensation in least-squares reverse time migration using the visco-acoustic wave equation

Dutta

Lü

Wang

et al. 2013

SEG Technical Program Expanded Abstracts 2013

View full text Add to dashboard Cite

show abstract

Attenuation compensation for least-squares reverse time migration using the viscoacoustic-wave equation

2014

View full text Add to dashboard Cite

Strong subsurface attenuation leads to distortion of amplitudes and phases of seismic waves propagating inside the earth. Conventional acoustic reverse time migration (RTM) and least-squares reverse time migration (LSRTM) do not account for this distortion, which can lead to defocusing of migration images in highly attenuative geologic environments. To correct for this distortion, we used a linearized inversion method, denoted as Q p-LSRTM. During the leastsquares iterations, we used a linearized viscoacoustic modeling operator for forward modeling. The adjoint equations were derived using the adjoint-state method for back propagating the residual wavefields. The merit of this approach compared with conventional RTM and LSRTM was that Q p-LSRTM compensated for the amplitude loss due to attenuation and could produce images with better balanced amplitudes and more resolution below highly attenuative layers. Numerical tests on synthetic and field data illustrated the advantages of Q p-LSRTM over RTM and LSRTM when the recorded data had strong attenuation effects. Similar to standard LSRTM, the sensitivity tests for background velocity and Q p errors revealed that the liability of this method is the requirement for smooth and accurate migration velocity and attenuation models.

show abstract