| 多属性融合技术在苏14井区的应用 |
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| 引用本文： | 王兴建,胡光岷,曹俊兴.多属性融合技术在苏14井区的应用[J].应用地球物理,2010,7(3):257-264. |
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| 作者姓名： | 王兴建 胡光岷 曹俊兴 |
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| 收稿时间： | 31 January 2007 |
Application of multiple attributes fusion technology in the Su-14 Well Block |
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| Xing-Jian?Wang,Guang-Min?Hu,Jun-Xing?Cao.Application of multiple attributes fusion technology in the Su-14 Well Block[J].Applied Geophysics,2010,7(3):257-264. |
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| Authors: | Xing-Jian Wang Guang-Min Hu Jun-Xing Cao |
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| Institution: | (1) Istituto Nazionale di Oceanografia e di Geofisica Sperimentale, OGS, Borgo Grotta Gigante 42/c, 34010 Sgonico (Trieste), Italy |
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| Abstract: | In this study area the geological conditions are complicated and the effective sandstone is very heterogeneous. The sandstones
are thin and lateral and vertical variations are large. We introduce multi-attribute fusion technology based on pre-stack
seismic data, pre-stack P- and S-wave inversion results, and post-stack attributes. This method not only can keep the fluid
information contained in pre-stack seismic data but also make use of the high SNR characteristics of post-stack data. First,
we use a one-step recursive method to get the optimal attribute combination from a number of attributes. Second, we use a
probabilistic neural network method to train the nonlinear relationship between log curves and seismic attributes and then
use the trained samples to find the natural gamma ray distribution in the Su-14 well block and improve the resolution of seismic
data. Finally, we predict the effective reservoir distribution in the Su-14 well block. |
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