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Improving seismic resolution by Gabor Deconvolution
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Gabor deconvolution is used when the seismic wavelet is not stable. In case of the Wiener deconvolution, it works on the stable or stationary (where frequency won't changes with the time in the Fourier transformation) wavelets and it may not work well with the attenuation. In contrast, Gabor deconvolution works with the non-stationary wavelets with the consideration of the attenuation. It is a time-frequency domain method that uses the Gabor transformation to analyze the data in both time and frequency domains.
Gabor transform decomposes the seismic signal into frequency constituents and its variations over the time. It is performed by applying the Gaussian window to the seismic signal and computing the Fourier transformation of the windowed signal. Generally, we use the Gaussian half window to analyze the seismic signal locally in time.
Gabor transformation of a seismic signal can be written as
Where
•s(t) - Input seismic signal at time t
•g(t-t') - Gaussian window centered at time t'
•f - frequency
•t' - time shift
How does Gabor transformation works?
1.Select the desired Gaussian window (half window) for better time and frequency resolution
2.Apply the Gaussian window by multiplying the signal s(t) with the Gaussian window g(t-t') centered at time t'.
3.Computed the Fourier transformation of the windowed signal. This gives frequency content at time t'.
4.Shift the window along the time axis to get the time-frequency representation. Repeat this for all time shifts.
In Gabor deconvolution, seismic trace is represented by time - frequency domain. Deconvolution is performed by multiplying the Gabor transformation of seismic signal by Gabor transformation of seismic wavelet.
Where:
• - Gabor transform of the seismic signal
• - Gabor transform of the seismic wavelet
• - Estimated reflectivity in time-frequency domain
Final reflectivity series is obtained by applying inverse Gabor transform to
How does Gabor Deconvolution works?
1.Compute the Gabor transform of the seismic signal
2.Estimate the seismic wavelet first and compute the Gabor transform of the wavelet
3.Divide the Gabor transform of seismic signal by Gabor transform of wavelet. This gives the estimated reflectivity.
4.Apply the inverse Gabor transform to the estimated reflectivity to get the final reflectivity series.
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Notify - It will notify the issue if there are any bad values or NaN. This is halt the workflow execution.
Fix - It will fix the bad values and continue executing the workflow.
Continue - This option will continue the execution of the workflow however if there are any bad values or NaN, it won't fix it.
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In this example workflow, we are using Gabor Deconvolution to improve the resolution of the seismic traces.

During the parameter testing, look into the Prewhitening % values. Unlike the Decon Wiener where the % while noise added to the seismic trace in Decon Gabor is on the higher side.




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YouTube video lesson, click here to open [VIDEO IN PROCESS...]
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Yilmaz. O., 1987, Seismic data processing: Society of Exploration Geophysicist
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