Resolution enhancement in the generalized S-transform domain based on variational-mode decomposition of seismic data

Jia, Jiangfeng; Chen, Xuehua; Jiang, Shuaishuai; Jiang, Wei; Zhang, Jie

doi:10.1190/igc2017-082

Cited by 4 publications

(2 citation statements)

References 6 publications

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“…Second, Gabor deconvolution combines the essential ideas of stationary deconvolution and inverse Q filtering (Margrave et al, 2011), or assuming seismic traces are split into segments which are called the molecular-Gabor transform (Wang et al, 2013). Finally, in recent developments, time-varying deconvolution uses the lessassumption technique in its processes, such as using S-transform (Jia et al, 2017;Winardhi & Pranowo, 2019) or other mathematical approaches (Pranowo, 2019;van der Baan, 2008).…”

Section: Introductionmentioning

confidence: 99%

The Direct-Inversion Deconvolution and Its Application in Seismic Data

Madrinovella

Pranowo

2022

JGE

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Seismic traces are generated by the convolution of reflectivity and seismic wavelet. Due to limited frequency bandwidth, reflectivity can not be resolved easily. Deconvolution is a method to increase the frequency bandwidth and gives seismic data higher resolution, which makes it easier to analyze. Deconvolution is a common method in the seismic data processing. The mathematical definition of deconvolution is an inverse process of convolution, but the computation of deconvolution uses convolution in its process (Wiener deconvolution). We explained a method that is direct from the mathematical definition. We refer to it as direct-inversion deconvolution. The direct-inversion deconvolution process involves the matrix operation between seismic trace and wavelet instead of the deconvolution filter. By applying the direct-inversion deconvolution, the produced (or deconvolved) seismic trace shows a better result with higher resolution, regardless of the wavelet’s phase. Finally, we performed a phase rotation experiment, and the deconvolution result shows no seismic phase alteration. In comparison, we also perform spiking deconvolution in synthetic data experiments. This method is applied to The North Sea Volve Data Village seismic data, and more thin layers are significantly detected. Finally, it turns out that direct-inversion deconvolution gives a higher resolution to seismic data.

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Section: Introductionmentioning

confidence: 99%

The Direct-Inversion Deconvolution and Its Application in Seismic Data

Madrinovella

Pranowo

2022

JGE

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“…While the original S-transform, as proposed by Stockwell et al (1996) used a fixed mother wavelet. Zhou et al (2016) and Jia et al ( 2017) proposed a way of enhancing resolution in the generalized S-Transform domain following McFadden et al (1999), Pinnegar and Mansinha (2003), and Gao et al (2003).…”

Section: Introductionmentioning

confidence: 99%

Multi-Ricker Spectral Modeling in the S-transform Domain for Enhancing Vertical Resolution of Seismic Reflection Data

Winardhi

Pranowo

2019

Indonesian J. Geosci.

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A relatively straightforward methodology is presented for extending seismic bandwidth, and hence enhancing the seismic resolution by performing time-variant deconvolution. The generalized S-transform (GST) approach is used in order to properly compute the time-frequency components of the seismic reflection trace. In estimating the time-variant wavelet, a spectral modeling method is proposed, named multi-Ricker spectral approximation (MRA). After obtaining the estimated wavelet spectrum at each time sample, a deconvolution filter can then be built and applied in the S-transform domain. This proposed time-variant seismic enhancement method needs neither information on subsurface attenuation model nor assumption that the subsurface reflectivity is random. It is a data-driven methodology which is based on the seismic data only. This proposed method is validated on a noise-free and noisy synthetics and also applied to a field data. Results show that, after enhancement, overall seismic bandwidth can be extended resulting in a higher vertical resolution. Correlation with VSP corridor stack at well location ensures that the generated reflection details after enhancement are geologically plausible.

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A Review of Variational Mode Decomposition in Seismic Data Analysis

Liu

et al. 2022

Surv Geophys

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Resolution enhancement in the generalized S-transform domain based on variational-mode decomposition of seismic data

Cited by 4 publications

References 6 publications

The Direct-Inversion Deconvolution and Its Application in Seismic Data

The Direct-Inversion Deconvolution and Its Application in Seismic Data

Multi-Ricker Spectral Modeling in the S-transform Domain for Enhancing Vertical Resolution of Seismic Reflection Data

A Review of Variational Mode Decomposition in Seismic Data Analysis

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