| 转换波四参数速度分析方法在k71地区的应用 |
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| 引用本文： | 石建新.转换波四参数速度分析方法在k71地区的应用[J].应用地球物理,2008,5(1):50-56. |
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| 作者姓名： | 石建新 |
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| 作者单位： | 中国石油大学(华东)地球资源与信息学院 中石化胜利油田物探研究院 |
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| 基金项目： | Thanks to Prof. Li Xiang-Yang of the Edinburgh Anisotropy Project and Senior Engineer Bi Li-Fei of the Geophysical Research Institute of Shengli 0ilfield for supporting the development and application of this technique. |
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| 摘 要： | 3-D converted-wave data were acquired using digital MEMS （micro-electromechanical system） three component （3C） sensors in the alternating sand and shale sequence in the overburden of the Shengli Ken-71 area. This gives rise to serious non-hyperbolic moveout effects in the converted-wave data due to both the asymmetrical ray path and anisotropic effects. Conventional velocity analysis and moveout correction based on isotropic methods do not flatten reflections events. Here, we use a four-parameter theory to evaluate these effects and process the data. These four parameters include the PS converted wave stacking velocity （Vc2）, the vertical velocity ratio （Y0）, the effective velocity ratio （Yeff）, and the anisotropy parameter （xoff）, The method utilizes the moveout information at different offsets to estimate the different parameters and ensures that the events are properly aligned for stacking, As a result, this four-parameter theory leads to an improvement in imaging quality and correlation between the P-waves and converted-waves.
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| 关 键 词： | 转换波 参数速度分析 应用软件 地震波 |
| 修稿时间： | 2007年11月30 |
Four-parameter velocity analysis and its applications to the Ken-71 area converted-wave data |
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| Jianxin Shi.Four-parameter velocity analysis and its applications to the Ken-71 area converted-wave data[J].Applied Geophysics,2008,5(1):50-56. |
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| Authors: | Jianxin Shi |
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| Abstract: | 3-D converted-wave data were acquired using digital MEMS (micro-electromechanical system) three component (3C) sensors in the alternating sand and shale sequence in the overburden of the Shengli Ken-71 area. This gives rise to serious non-hyperbolic moveout effects in the converted-wave data due to both the asymmetrical ray path and anisotropic effects. Conventional velocity analysis and moveout correction based on isotropic methods do not flatten reflections events. Here, we use a four-parameter theory to evaluate these effects and process the data. These four parameters include the PS converted wave stacking velocity (VC2), the vertical velocity ratio (y0), the effective velocity ratio (yeff), and the anisotropy parameter (xeff). The method utilizes the moveout information at different offsets to estimate the different parameters and ensures that the events are properly aligned for stacking. As a result, this four-parameter theory leads to an improvement in imaging quality and correlation between the P-waves and converted-waves. |
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| Keywords: | converted waves four-parameter velocity analysis prestaek time migration |
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