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Volume 26 Issue 4
Aug 2015
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Jin Zhang, Huaishan Liu, Siyou Tong, Lei Xing, Xiangpeng Chen, Chaoguang Su. Estimation of elastic parameters using two-term fatti elastic impedance inversion. Journal of Earth Science, 2015, 26(4): 556-566. doi: 10.1007/s12583-015-0564-5
Citation: Jin Zhang, Huaishan Liu, Siyou Tong, Lei Xing, Xiangpeng Chen, Chaoguang Su. Estimation of elastic parameters using two-term fatti elastic impedance inversion. Journal of Earth Science, 2015, 26(4): 556-566. doi: 10.1007/s12583-015-0564-5

Estimation of elastic parameters using two-term fatti elastic impedance inversion

doi: 10.1007/s12583-015-0564-5
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  • Corresponding author: Lei Xing, xingleiouc@ouc.edu.cn
  • Received Date: 01 Sep 2014
  • Accepted Date: 05 Jan 2015
  • Publish Date: 12 Aug 2015
  • Elastic impedance (EI) inversion has been widely used in industry to estimate kinds of elastic parameters to distinguish lithology or even fluid. However, it is found that conventional three-term elastic impedance formula is unstable even with slight random noise in seismic data, due to the ill-conditioned coefficient matrix of elastic parameters. We presented two-term Fatti elastic impedance inversion method, which is more robust and accurate than conventional three-term elastic impedance inversion. In our method, density is ignored to increase the robustness of inversion matrix. Besides, P-impedance and S-impedance, which are less sensitive to random noise, are inverted instead of VP and VS in conventional three-term elastic impedance. To make the inversion more stable, we defined the range of K value as a constraint. Synthetic tests claim that this method can obtain promising results with low SNR (signal noise ratio) seismic data. With the application of the method in a 2D line data, we achieved λρ, μρ and VP/VS sections, which matched the drilled well perfectly, indicating the potential of the method in reservoir prediction.

     

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