海洋天然气水合物勘探地震处理的最小平方反滤波设计及其应用
The principle of least-squares-inverse filtering and its application
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摘要: 地震勘探的BSR识别技术是发现海洋天然气水合物的最经济、快捷、方便、有效的方法.在地震处理识别上,对子波的精确处理是水合物地震资料处理中最关键的一个环节,采用最小平方误差准则,即利用实际输出与期望输出的误差平方和为最小的条件,来确定反滤波因子,因此又称为最小平方子波整形.在地震处理程序中引入三种期望输出,即俞氏子波、雷克子波、Buttworth子波,对子波零相位化有较好的效果.根据上面的原理,我们开发了一套最小平方反滤波地震处理软件,对天然气水合物地震勘探资料进行试处理的结果表明,该软件在提高分辨率的同时保持了较高的信噪比.
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关键词:
- 反褶积 /
- 最小平方反滤波 /
- 俞氏子波 /
- 雷克子波 /
- Buttworth子波
Abstract: In order to improve the resolution of seismic profiles in vertical,the aim of deconvolution is to suppress the ground filtering in exploration.The leas-tsquares error is adopted,that is,considering sum of all anticipant output error as the least condition,to decide the inverse filtering factor.Three kinds of anticipation output is introduced:YUShi wavelet,Ricker wavelet,Buttworth wavelet.These wavelets help to improve the effect of zero-phase.According to the principle above,a software for least-squares-inverse filtering is developed.The results indicate this method not only improves the resolution but also maintains a relatively high ratio of signal-to-noise,especially in the detection of gas hydrate.-
Key words:
- deconvolution /
- least-square-sinverse filtering /
- YuShi wavelet /
- Ricker wavelet /
- Buttworth wavelet
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