Attenuation compensation method based on inversion

Wang, Shoudong

doi:10.1007/s11770-011-0275-3

Cited by 27 publications

(8 citation statements)

References 11 publications

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“…It can achieve the compensation when the wavelet effect is neglected, but it is difficult to give a reasonable physical interpretation. Zhang and Ulrych (2007) produced the reflectivity series using the least square method, of which the computational cost is similar with Wang (2011). Besides, it is based on attenuated wavelet and reflectivity convolution to simulate seismic data, instead of the wave equation method, and the inaccurate wavelet can affect the accuracy of reflectivity estimation.…”

Section: Discussionmentioning

confidence: 99%

“…Due to the fact that the amplitude gain-limited and stabilized methods may achieve under-compensated performance in the lower Q value cases, we attempt to acquire compensated seismic data based on forward Q filtering formula and inverse theory strategy, following Wang (2011) and Zhang and Ulrych (2007). The forward Q filtering formula, including attenuation effects, is (Wang, 2008)…”

Section: Theorymentioning

confidence: 99%

“…Based on the Kolsky-Futterman model, Wang (2002Wang ( , 2006 deduced the attenuation compensation formula and the forward Q filtering formula using wavefield continuation. Wang (2011) achieved the forward Q filtering formula using the exploding reflector concept. Zhang and Ulrych (2007) obtained the reflectivity series with high resolution using the attenuation compensation method in the frame of Bayesian theory and least square inversion strategy.…”

Section: Introductionmentioning

confidence: 99%

“…Then, stability analysis was provided. Wang (2011) achieved the attenuation compensation procedure based on an exploding reflector, using forward Q formula and inversion strategy. The attenuation compensation can be obtained when the wavelet effect is neglected, while it is hard to give a reasonable physical interpretation.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A Stable and Efficient Attenuation Compensation Method based on Inversion

Wang

Chen

et al. 2015

Chinese J of Geophysics

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Inverse Q filtering, which can compensate amplitude and correct phase, is an effective method to improve the resolution of seismic data. The conventional inverse Q method is usually based on wavefield continuation, which is unstable or under‐compensation. Based on the forward Q filtering equation in wavefield continuation, this work proposes a new attenuation compensation method, which is stable and accurate, taking advantages of the inverse theory and regularization strategy to obtain compensated seismic data eventually. It is also computationally efficient because only effective frequency components are calculated. Tests on synthetic and real data prove that the proposed method is effective.

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Section: Discussionmentioning

confidence: 99%

Section: Theorymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Stable and Efficient Attenuation Compensation Method based on Inversion

Wang

Chen

et al. 2015

Chinese J of Geophysics

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“…This algorithm works for a general earth Q model varying with depth or traveltime and the exact solution does not involve the amplitude operation approximation, therefore, the result of inverse Q filtering is more accurate. Alternatively, Wang (2011) gave an attenuation compensation method based on inversion theory, which can be achieved by the Tikhonov regularization method solving Fredholm integral equation of the first kind. The compensation method is suitable for the variable Q values with depth and corrects the amplitude attenuation and velocity dispersion simultaneously.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Q factors from reflection seismic data for a band-limited and stabilized inverse Q filter driven by an average-Q model

Chen

Wang

et al. 2014

Journal of Applied Geophysics

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Reliable Q estimation is desirable for model-based inverse Q filtering to improve seismic resolution. On the one hand, conventional methods estimate Q from the amplitude spectra or frequency variations of individual wavelets at different depth (or time) levels, which is vulnerable to the effects of spectral interference and ambient noise. On the other hand, most inverse Q filtering algorithms are sensitive to noise, in order not to boost them, sometimes at the expense of degrading compensation effect. In this paper, the average-Q values are obtained from reflection seismic data based on the Gabor transform spectrum of a seismic trace. We transform the 2-D time-variant frequency spectrum into the 1-D spectrum, and then estimate the average-Q values based on the amplitude attenuation and compensation functions, respectively. Driven by the estimated average-Q model, we also develop a modified inverse Q filtering algorithm by incorporating a time-variant bandpass filter (TVBF), whose high cutoff frequency follows a hyperbola along the traveltime from a specified time. Finally, we test this modified inverse Q filtering algorithm on synthetic data and perform the Q estimation procedure on a real reflection seismic data, followed by applying the modified inverse Q filtering algorithm. The synthetic data test and the real data example demonstrate that the algorithm driven by average-Q model may enhance the seismic resolution, without degrading the signal-to-noise ratio.

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Stable absorption compensation with lateral constraint

et al. 2020

Acta Geophys.

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Attenuation compensation method based on inversion

Cited by 27 publications

References 11 publications

A Stable and Efficient Attenuation Compensation Method based on Inversion

A Stable and Efficient Attenuation Compensation Method based on Inversion

Estimation of Q factors from reflection seismic data for a band-limited and stabilized inverse Q filter driven by an average-Q model

Stable absorption compensation with lateral constraint

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