【摘要】 本文提出一种基于匹配追踪的稀疏脉冲反褶积方法,实现了薄互层反射界面自动提取。对于单层问题,建立不同位置、不同厚度的等幅同号和等幅异号的薄层反射系数模式,将它们的地震响应作为一组基元函数,应用匹配追踪技术,对实际地震道进行稀疏分解,实现薄层顶、底反射系数的自动拾取;对于薄互层问题,建立可能的薄层反射系数位置模式,通过与实际地震道进行匹配,求取每一种反射系数位置模式所对应的最优反射系数幅值和匹配误差,将匹配误差最小的反射系数位置模式作为最终的薄层自动解释结果。通过楔状体模型研究,验证了该方法的有效性。在四川盆地东部A区的石炭系碳酸盐岩厚度定量描述研究中,预测厚度与实钻结果吻合较好。更多还原

【Abstract】 This paper proposes a new sparse deconvolution method based on matching pursuit,which can be used to automatically interpret thin-beds.For single layer thin-bed,we construct the thin-bed reflection coefficient models of equal-magnitude-same-sign and equal-magnitude-opposite-sign with different position and thickness.Taking their seismic response as a set of atom functions,we decompose real seismic trace data by matching pursuit,and the thin-bed top and bottom are picked automatically.For multiple thin-bed layers,we construct all possible thin-bed reflection coefficient models.Then we match the models with the real seismic trace data,and calculate the optimal reflection coefficient amplitude and the corresponding matching error.Finally,we treat the reflection coefficient model with the minimum matching error as the thin bed interpretation result.The wedge model synthetic data test proves that this method is valid.The method is also used to predict the carboniferous stratum thickness in a survey of Sichuan Basin,and the thickness prediction matches very well with real-drilled results.更多还原