Spectral decomposition of seismic data with reassigned smoothed pseudo Wigner–Ville distribution

Wu, Xiaomin; Liu, Tianyou

doi:10.1016/j.jappgeo.2009.03.004

Cited by 91 publications

(29 citation statements)

References 29 publications

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“…Wells at both zones have been drilled and encountered with gas and water mixtures. The pre-stack data were spectrally decomposed using the Wigner-Ville transform (Wu and Liu, 2009;, and spectral balancing (Wilson et al 2009) was applied to attempt to equalise the frequency content over a time window. Sufficient well log data were available to create a model for the AVO response of the reservoir.…”

Section: Field Data Examplementioning

confidence: 99%

Interpretation of phase reversals in seismic reflections from attenuating targets

Wu¹,

Chapman

Angerer

2014

Geophysical Journal International

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Phase reversals are commonly observed during exploration seismic amplitude-versus-offset analysis, and usually modelled with the Zoeppritz equations. In practice, when multiple fluids are present we often deal with reflections from interfaces having a contrast in both elastic and anelastic properties. In this paper, we present a new phenomenological model for phase reversals in cases in which velocity dispersion and attenuation are present. We demonstrate strong qualitative differences in behaviour between the elastic and anelastic cases, influencing both the amplitude and phase of the reflection coefficient. Analysis of seismic data showing a phase reversal from a gas reservoir in the Vienna basin shows a striking agreement with the modelling. We conclude that the influence of fluid-induced dispersion on reflection data is a significant and measurable phenomenon in cases of practical interest, that recognition of the phenomena may be used as a novel fluid indicator and that frequencydependent rock physics analysis may be an important tool for both industrial geophysics and seismic monitoring of CO 2 storage.

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Section: Field Data Examplementioning

confidence: 99%

Interpretation of phase reversals in seismic reflections from attenuating targets

Wu¹,

Chapman

Angerer

2014

Geophysical Journal International

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“…Chosen here is the smoothed pseudo wigner-ville distribution (SPWVD) method to conduct the time-frequency decomposition, the verification of which indicates that a much higher time resolution and a higher frequency resolution (Wu and Liu, 2009) can be obtaioned. Using the time-frequency decomposition method, different frequency components of the seismic data can be acquired.…”

Section: Accepted Manuscriptmentioning

confidence: 98%

The application of quantitative gas saturation estimation based on the seismic wave dispersion inversion

Chen

Chapman

et al. 2015

Journal of Applied Geophysics

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“…In this regard, we can introduce WVD (Wigner-Ville) which is a bilinear time frequency distribution with a higher time frequency resolution and a certain noise suppression capability, to improve the accuracy of signal analysis. However, the WVD spectral decomposition has the disadvantage of cross noise, so the regularization unsteady-state regression (RNR) [11,12] was proposed in this paper to compute WVD spectral decomposition. Based on the above methods, a new acoustic quality evaluation parameter SQP-WRW (sound quality parameter based on wavelet and then proceed) was proposed to evaluate the sound quality of the acceleration exhaust noise; the process chart is shown in Figure 5.…”

Section: Based On Wvt-rnr-wvd Signal Analysismentioning

confidence: 99%

Study on the Sound Quality of Steady and Unsteady Exhaust Noise

Fa-lin

Sun

2018

Mathematical Problems in Engineering

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In order to predict and study the sound quality of automobile exhaust noise, Zwicker steady-state and time-varying method were applied to calculate the psychoacoustic objective parameter values in terms of the exhaust noise of sample cars at uniform velocity and accelerated velocity; Thereby, a prediction model of GA-BP sound quality based on psychoacoustic objective parameters was established. At the same time, wavelet analysis was used to decompose the accelerated signal; in order to overcome the shortcomings such as Heisenberg uncertainty, the RNR (regularization nonstationary regression technique) was applied to compute the WVD distribution (RNR-WVD), therefrom obtaining the coefficient matrices of different-band signals after wavelet decomposition, and then A weighting was carried out on the coefficient matrices, so as to establish a new sound quality parameter SQP-WRW (sound quality parameter base on wavelet and then proceed to RNR-WVD) as the input of GA-BP model, and therefrom a sound quality prediction model was established. The results indicate that the model based on SQP-WRW has higher precision for predicting the sound quality of acceleration signal, and it can better reflect the characteristics of acceleration signal and sound quality.

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Spectral decomposition of seismic data with reassigned smoothed pseudo Wigner–Ville distribution

Cited by 91 publications

References 29 publications

Interpretation of phase reversals in seismic reflections from attenuating targets

Interpretation of phase reversals in seismic reflections from attenuating targets

The application of quantitative gas saturation estimation based on the seismic wave dispersion inversion

Study on the Sound Quality of Steady and Unsteady Exhaust Noise

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