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反射地震数据的逐层波形反演
引用本文:丁继才,常旭,刘伊克,汪长永.反射地震数据的逐层波形反演[J].地球物理学报,2007,50(2):574-580.
作者姓名:丁继才  常旭  刘伊克  汪长永
作者单位:1.中国科学院地质与地球物理研究所,北京 100029 2 中国石化集团国际石油勘探开发有限公司,北京100083
基金项目:国家自然科学基金项目(40474020、40474021)资助
摘    要:本文针对层状介质并结合梯度法波形反演,提出逐层波形反演的方法. 首先给出介质扰动响应的概念,并在此基础上分析了梯度法波形反演方法. 波形反演实质上是将实测地震记录和预测地震记录的波形残差信息转化为实际地质模型和预测地质模型的模型残差信息. 波形反演的优点是利用大量振幅相位信息得到高分辨率的反演结果, 其缺点是运行耗时大;当初始模型和实际模型相差较大时,迭代算法容易陷入局部极小点,这是因为目标函数和初始模型同实际模型间的差异是非线性的关系. 逐层波形反演方法是使自上而下每一层的目标函数最小,这样总的目标函数也是最小的. 利用二分法速度扫描确定每一层速度不仅提高了运算速度也避免了迭代算法陷入局部极小点的问题. 结合介质扰动响应和目标函数值变化可以更为准确迅速地确定每一层速度和该层界面位置.

关 键 词:非线性反演  梯度法  逐层反演  扰动响应  
文章编号:0001-5733(2007)02-0574-07
收稿时间:2006-6-13
修稿时间:2006-06-13

Layer by layer waveform inversion of seismic reflection data
DING Ji-Cai,CHANG Xu,LIU Yi-Ke,WANG Chang-Yong.Layer by layer waveform inversion of seismic reflection data[J].Chinese Journal of Geophysics,2007,50(2):574-580.
Authors:DING Ji-Cai  CHANG Xu  LIU Yi-Ke  WANG Chang-Yong
Affiliation:1.Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China2 Sinopec International Petroleum Exploration and Production Corporation, Beijing 100083, China
Abstract:A layer-by-layer waveform inversion method is developed to derive the velocities of multi-layered model. Firstly, one new concept-medium perturbation-response is introduced and the gradient method for waveform inversion is analysed. Essentially, waveform inversion is to extract residual structural information between the real earth and predicted model from the waveform residuals between the observed and the synthetic seismograms. The strength of waveform inversion is the high resolution of the inversion result by using a large quantity of waveform information. A weakness of waveform inversion is time-consuming. In addition, waveform information will tend to get stuck in local minima if the starting model is too far from the actual model. The reason for this failure is that the misfit function can be highly nonlinear with respect to velocity models. The layer-by-layer method is to minimize the misfit function for every layer from top to bottom. In this case the total misfit function will be minimum too. For each layer, we use dichotomy method to scan the velocity. This method can improve the speed of computation and avoid getting stuck in local minima for iterative algorithm. Velocity and reflection interfaces can be estimated quickly and accurately based on the medium perturbation- response and the change of the misfit function.
Keywords:Nonlinear inversion  Gradient method  Layer by layer inversion  Perturbation-response
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