Open AccessJournal Article
High precision seismic time-frequency spectrum decomposition method and its application
TLDR
Wang et al. as mentioned in this paper proposed an improved Morlet wavelet to characterize signal features in time and frequency domains, and used window treatment technology to dynamically scan matching wavelet atoms at the same time in multi-windows.Abstract:
Because of Heisenberg's uncertainty principle,the linear algorithms of time-frequency spectral decomposition,for example wavelet transform and generalized S transform,cannot simultaneously have high resolution in time and frequency domains.Overcoming the window function limit,the matching pursuit can precisely characterize signal features in time and frequency domains.This paper firstly discusses the algorithm theory of matching pursuit to seismic signal,and then put forward the reasonable improvement to standard Morlet wavelet,which can perfect the time-frequency atomic database,thus enhancing the precision of seismic signal matching decomposition.Based on the time-bandwidth of Morlet wavelet,the paper finally uses window treatment technology to dynamically scan matching wavelet atoms at the same time in multi-windows,so that calculation efficiency can be appropriately increasing.The model test and actual data analysis show that matching pursuit of seismic signal based on improved Morlet wavelet is more precise and efficient,and has some antinoise ability,suitable for quantitative analysis of the spectrum variation of seismic data,which will be helpful to study oil gas reservoir distribution.read more
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Integrated prediction of deepwater gas reservoirs using Bayesian seismic inversion and fluid mobility attribute in the South China Sea
TL;DR: Wang et al. as discussed by the authors developed an integrated prediction strategy for the deepwater gas reservoirs using the Bayesian adaptive seismic inversion and the frequency-dependent fluid mobility attribute to reduce the exploration risks.
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Gas prediction using low-frequency components of variable-depth streamer seismic data applied to the deepwater area of the South China Sea
TL;DR: Wang et al. as mentioned in this paper proposed combining low-frequency components of VDS data and fluid mobility attributes to predict gas reservoir distributions, which can serve as a more precise and reasonable basis for gas exploration and development in the deepwater area of the South China Sea.
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Low-frequency sparse double-constrained broadband seismic impedance inversion
TL;DR: The new method achieves higher resolution on the impedance inversion of broadband data and non-broadband data and the accuracy of impedance inversions is increased, so it has higher application values in predicting the distribution of thin reservoirs.