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您的检索式：作者名="Chen Tiansheng Liu Yang"
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| 1 | Multi-component AVO response of thin beds based on reflectance spectrum theory显示文摘地震 AVO 分析现在是为认出潜在的烃水库的主要标准之一。带 stratigraphic 结构,岩性学,和毛孔液体的信息的体积散布信息为地震探索是更有用的。然而,传统的 AVO 分析基于 Zoeppritz 方程,它仅仅包含单个接口的信息。薄床厚度的量的解释对薄床结构解释,水库描述,和侧面的水库预言必要。基于在频率的有弹性的波浪繁殖矩阵,域在这篇论文导出的反射光谱方程证明接口和间隔在振幅上有效果。方程关于单个接口并且体积散布包括信息。因为反射光谱方程是薄床厚度和频率的连续功能,在反射光谱上分析单个频率和床厚度的效果是方便的。床厚度是可被分析的直到床厚度是 vanishingly 小的。这些特征不能被 Fourier 变换完成。震波的繁殖是复杂的,各种各样的波浪模式同时存在。反射光谱包括各种各样的宣传波浪模式和 multiples 并且对模仿多部件更好薄床 AVO 回答比跟踪方法的光线。 | Chen Tiansheng Liu Yang | 2006 | Applied Geophysics2006，3，1： | 7 |
| 2 | Reservoir prediction using multi-wave seismic attributes显示文摘The main problems in seismic attribute technology are the redundancy of data and the uncertainty of attributes,and these problems become much more serious in multi-wave seismic exploration.Data redundancy will increase the burden on interpreters,occupy large computer memory,take much more computing time,conceal the effective information,and especially cause the 'curse of dimension'.Uncertainty of attributes will reduce the accuracy of rebuilding the relationship between attributes and geological significance.In order to solve these problems,we study methods of principal component analysis (PCA),independent component analysis (ICA) for attribute optimization and support vector machine (SVM) for reservoir prediction.We propose a flow chart of multi-wave seismic attribute process and further apply it to multi-wave seismic reservoir prediction.The processing results of real seismic data demonstrate that reservoir prediction based on combination of PP-and PS-wave attributes,compared with that based on traditional PP-wave attributes,can improve the prediction accuracy. | Ye Yuan Yang Liu Jingyu Zhang Xiucheng Wei Tiansheng Chen | 2011 | Earthquake Science2011，24，4： | 1 |
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