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

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• 作者：Jin Zhang ; Huaishan Liu ; Siyou Tong ; Lei Xing ; Xiangpeng Chen…
• 关键词：two ; term Fatti EI ; random noise ; K value
• 刊名：Journal of Earth Science
• 出版年：2015
• 出版时间：August 2015
• 年：2015
• 卷：26
• 期：4
• 页码：556-566
• 全文大小：839 KB
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• 作者单位：Jin Zhang (1)
  Huaishan Liu (1)
  Siyou Tong (1)
  Lei Xing (1)
  Xiangpeng Chen (2)
  Chaoguang Su (2)
  
  1. College of Marine Geoscience, Ocean Univesity of China, Qingdao, 266100, China
  2. Shengli Geophysical Research Institute of SINOPEC, Dongying, 257022, China
  
• 刊物主题：Earth Sciences, general; Geotechnical Engineering & Applied Earth Sciences; Biogeosciences; Geochemistry; Geology;
• 出版者：Springer Berlin Heidelberg
• ISSN：1867-111X

文摘

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 V P and V S 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 V P/V S sections, which matched the drilled well perfectly, indicating the potential of the method in reservoir prediction.