高斯牛顿法与梯度法波形反演比较研究
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摘要
经典的地震波形反演采用梯度算法,该方法计算量小,但收敛速度慢,不容易重建速度场的低波数成分。我们在文中讨论了雅可比矩阵的计算,实现了高斯牛顿法反演。数值例子表明,与梯度法相比,高斯牛顿法收敛迅速,反演精度高,是一种更加有效可行的物性反演策略。
The classical seismic waveform inversion adopts gradient method,it doesn't require much computing consumption.While it's convergence rate is slow and the reconstruction for the low wave num- ber component of the velocity filed is difficult.In this article,we discussed the calculation of Jacobian ma- trix,accomplishing Gauss-Newton waveform inversion.The numerical example shows that compared with gradient method,Gauss-Newton method converges faster,and the inversion accuracy is higher,hence,it's a more effective and feasible inversion strategy for physical properties.
引文
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    [4]Shin C,Yoon K,Marfurt K J,Park K,Yang D,Lim H Y,Chung S and Shin S,2001,Effi- cient calculation of a partial-derivative wavefield using reciprocity for seismic imag- ing and inversion[J].Geophysics,66 (6): 1856-1863.

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