Geophysics and Geophysical Exploration (지구물리와물리탐사)

Korean Society of Earth and Exploration Geophysicists (한국지구물리·물리탐사학회)
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Robust and Optimum Weighted Stacking of Seismic Data

탄성파 자료의 강인한 최적 가중 겹쌓기

  • Ji, Jun (Dept. of Information System Engineering, Hansung University)
  • 지준 (한성대학교 정보시스템공학과)
  • Received : 2012.12.10
  • Accepted : 2013.01.28
  • Published : 2013.02.28
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Abstract

Stacking in seismic processing plays an important role in improving signal-to-noise ratio and imaging quality of seismic data. However, the conventional stacking method doesn't remove random noises with various distributions and outliers up to a satisfactory level. This paper introduces a robust and optimum weighted stack method which shows both robustness to outlier noises and optimum in removing random noises. This was achieved by combining the robust median stacking with the optimum weighted stacking using local correlation. Application of the method to synthetic data showed that the proposed method is very effective in suppressing random noises with various distributions including outliers.

탄성파 자료처리 과정에서 겹쌓기는 신호대 잡음비율과 영상의 질을 개선하는데 중요한 역할을 한다. 하지만 기존의 겹쌓기 방법은 다양한 분포의 잡음과 특이치 잡음을 만족스러운 수준으로 제거하지는 못한다. 본 논문에서는 특이치에 강인함을 보이는 중앙값 처리와 다양한 분포의 잡음 제거에 효과적인 국지적 상관을 이용한 가중 겹쌓기법을 결합하여, 강인하면서도 최적인 가중 겹쌓기법을 소개한다. 제안한 방법을 합성 자료에 적용하여 다양한 분포의 잡음과 특이치 잡음 모두를 효과적으로 제거함을 확인할 수 있었다.

Keywords

References

  1. Donoho, D. L., 1995, De-noising by soft-thresholding, IEEE Transactions on Information Theory, 41, 613-627. https://doi.org/10.1109/18.382009
  2. Fomel, S., 2007a, Local seismic attributes, Geophysics, 72, A29-A33. https://doi.org/10.1190/1.2437573
  3. Fomel, S., 2007b, Shaping regularization in geophysical-estimation problems, Geophysics, 72, R29-R36. https://doi.org/10.1190/1.2433716
  4. Fomel, S., Backus, M., Fouad, K., Hardage, B., and Winters, G., 2005, Amultistep approach to multicomponent seismic image registration with application to a West texas carbonate reservoir study: 75th Annual International Meeting, SEG, Expanded Abstracts, 1018-1021.
  5. Fomel, S., and L. Jin, 2007, Time-lapse image registration using the local similarity attribute: 77th Annual International Meeting, SEG, Expanded Abstracts, 2979-2983.
  6. Liu, G., Fomel, S., Jin, L., and Chen, X., 2009, Stacking seismig data using local correlation, Geophysics, 74, no. 3, v43-v48. https://doi.org/10.1190/1.3085643
  7. Mayne, W. H., 1962, Common reflection point horizontal data stacking techniques, Geophysics, 27, 927-938. https://doi.org/10.1190/1.1439118
  8. Neelamani, R., Dickens, T. A., and Deenbaugh, M., 2006, Stack-and-denoise: A new method to stack seismic datasets: 76th Annual International Meeting, SEG, Expanded Abstracts, 2827-2831.
  9. Rashed, M. A., 2008, Smart stacking: A new CMP stacking technique for seismic data, The Leading Edge, 27, 462-467. https://doi.org/10.1190/1.2907176
  10. Robinson, J. C., 1970, Statistically optimal stacking of seismic data, Geophysics, 35, 436-446. https://doi.org/10.1190/1.1440105
  11. Schoenberger, M., 1996, Optimum weighted stack for multiple suppression, Geophysics, 61, 891-901. https://doi.org/10.1190/1.1444014
  12. Trickett, S., 2007, Maximum-likelihood-estimation stacking: 77th Annual International Meeting, SEG, Expanded Abstracts, 2640-2643.
  13. Yilmaz, O., 2001, Seismic data analysis: Processing, inversion, and interpretation of seismic data: SEG.