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Volume 24 Issue 6
Dec 2013
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Article Contents
Luping Sun, Xiaodong Zheng, Hao Shou. Relative Peak Frequency Increment Method for Quantitative Thin-Layer Thickness Estimation. Journal of Earth Science, 2013, 24(6): 1068-1078. doi: 10.1007/s12583-013-0387-1
Citation: Luping Sun, Xiaodong Zheng, Hao Shou. Relative Peak Frequency Increment Method for Quantitative Thin-Layer Thickness Estimation. Journal of Earth Science, 2013, 24(6): 1068-1078. doi: 10.1007/s12583-013-0387-1

Relative Peak Frequency Increment Method for Quantitative Thin-Layer Thickness Estimation

doi: 10.1007/s12583-013-0387-1
Funds:

the Fundamental Research Funds for the Central Universities, Specialized Research Fund for the Doctoral Program of Higher Education of China 20110022120004

the China National Key S & T Project on Marine Carbonate Reservoir Characterization 2011ZX05004003

More Information
  • Corresponding author: Luping Sun, sunluping@cugb.edu.cn
  • Received Date: 03 Jan 2013
  • Accepted Date: 29 May 2013
  • Publish Date: 01 Dec 2013
  • Quantitative thickness estimation of thin-layer is a great challenge in seismic exploration, especially for thin-layer below tuning thickness. In this article, we analyzed the seismic response characteristics of rhythm and gradual type of thin-layer wedge models and presented a new method for thin-layer thickness estimation which uses relative peak frequency increment. This method can describe the peak frequency to thickness relationship of rhythm and gradual thin-layers in unified equation while the traditional methods using amplitude information cannot. What's more, it won't be influenced by the absolute value of thin-layer reflection coefficient and peak frequency of wavelet. The unified equations were presented which can be used for rhythm and gradual thin-layer thickness calculation. Model tests showed that the method we introduced has a high precision and it doesn't need to determine the value of top or bottom reflection coefficient, so it has a more wide application in practice. The application of real data demonstrated that the relative peak frequency increment attribute can character the plane distribution feature and thickness characteristic of channel sand bodies very well.

     

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