1887

Abstract

Summary

Matching pursuit algorithm is widely applied to the field of geophysics owing to the self-adaptive decomposition characteristics and high time-frequency resolution. Based on the complex dynamic matching pursuit, this paper discusses the principles of the dual-parameter dynamic fast matching pursuit algorithm and workflows. Given that the instantaneous frequency obtained with the conventional method has negative phenomena and shortcomings of poor robustness, we propose the solving method of the instantaneous frequency through the introduction of a continuous phase and the help of damped least squares method. What’s more, the corresponding calculating algorithm is presented. The numerical data tests show that the instantaneous frequency obtained with the continuous phase has high robustness and avoids negative anomalies. Then we apply the improved matching pursuit algorithm to time-frequency analysis. Numerical and field data tests demonstrate that the improved matching pursuit algorithm has high time-frequency resolution. Finally, we analyze the changes in the gas reservoir at different frequencies through the spectral decomposition with the improved matching pursuit algorithm. This indicates that spectral decomposition technique can characterize the position of the gas reservoir well.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.20141564
2014-06-16
2024-03-29
Loading full text...

Full text loading...

References

  1. Liu, J., Wu, Y. and Han, D.
    [2004] Time-Frequency Decomposition Based On Ricker Wavelet. 2004 SEG Annual Meeting, 1937–1940.
    [Google Scholar]
  2. Zhang, F.C., Li, C.H. and Yin, X.Y.
    [2010] Seismic data fast matching pursuit based on dynamic matching wavelet library. OGP, 45(5), 667–673.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.20141564
Loading
/content/papers/10.3997/2214-4609.20141564
Loading

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error