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Abstract

Summary

As reliable signal detection determines the accuracy of microseismic data processing, we have sought an effective method to distinguish useful signal and noise. The theory of this method is multi-scaled mathematical morphology based on slight differences of seismic wave shape. After original microseismic signal is decomposed into series of different scales, the waveform shape of weak signal becomes distinct and easy to detect. We provided theoretical and actual examples of morphological decomposition and signal detection in this paper and found that multi-scaled morphological decomposition plays a commendable part to intensify weak signal and effectively improves the ability to detect microseismic weak signal.

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/content/papers/10.3997/2214-4609.201413013
2015-06-01
2024-03-29
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References

  1. Qing, L., Runqiu, W., Wenfeng, H. and Guijuan, Z.
    [2005] Method for Morphological Filtering in Seismic Data Processing. Petroleum Science, 4(003), 20–29.
    [Google Scholar]
  2. Matheron, G.
    [1975] Random sets and integral geometry. New York: Wiley, (Vol. 1).
    [Google Scholar]
  3. Serra, J.
    [1982] Image analysis and mathematical morphology. Academic press, (Vol. 1).
    [Google Scholar]
  4. [1988] Image Analysis and Mathematical Morphology Theoretical advances. Academic press, (Vol. 2).
    [Google Scholar]
  5. Koskinen, L., Astola, J.T. and Neuvo, Y.A.
    [1991] Soft morphological filters. Image Algebra and Morphological Image Processing II, Vol. 1568, 262–270.
    [Google Scholar]
  6. Sinha, D. and Dougherty, E.R.
    [1992]. Fuzzy mathematical morphology. Journal of Visual Communication and Image Representation, 3(3), 286–302.
    [Google Scholar]
  7. Yang, W., Wang, R., Wu, J. and Chen, Y.
    [2014] Random Noise Attenuation Using a New Spectral Decomposition Method. 2014 SEG Annual Meeting. Society of Exploration Geophysicists.
    [Google Scholar]
  8. Li, Z., Yang, Y. and Jiang, W.
    [2007] Multi-scale Morphologic Tracking Approach for Edge Detection. International Conference on Image and Graphics, 358–362.
    [Google Scholar]
  9. Wang, R., Li, Q. and Zhang, M.
    [2008] Application of multi-scaled morphology in denoising seismic data. Applied Geophysics, 5(3), 197–203.
    [Google Scholar]
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