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Abstract

Summary

Recently the expectation of geologists regarding the detail of geophysical data has resulted in more stringent standards of seismic data resolution. However when using conventional 3D seismic acquisition we have a low fold for shallow intervals at the target level and deterioration of the lateral seismic resolution respectively. In this case the solution to the problem is to apply high density seismic acquisition which lets us to increase the fold. In cases when oil companies have already completed the conventional seismic acquisition they try to save their money by applying broadband spectral inversion for this conventional data in order to increase the seismic resolution. In this paper the analysis of spectral decomposition results of the high density seismic data vs. the spectral ThinMAN inversion of conventional data have shown that for shallow intervals the sole application of spectral seismic inversion (ThinMAN) doesn’t let us to achieve the lateral resolution level like for high density seismic data. The spectral ThinMAN inversion in some cases allows us to enhance the seismic high frequencies but with a decrease of signal-to-noise ratio. That makes it difficult to interpret the seismic data in detail.

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/content/papers/10.3997/2214-4609.20140169
2014-04-07
2024-03-28
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References

  1. А.П.Жуков, И.Тищенко, Р.Калимулин, В.Горбунов, А.Тищенко
    [2011] Адаптивная сейсморазведка в условиях неоднородного строения верхней части геологического разреза. Технологии сейсморазведки, 2, 5–12
    [Google Scholar]
  2. Castagna, P.
    [2005] High resolution spectral decomposition and reflectivity inversion. Fusion G.
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