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正则化偏移成像的全局优化快速算法
引用本文:李振华,王彦飞,杨长春.正则化偏移成像的全局优化快速算法[J].地球物理学报,2011,54(3):828-834.
作者姓名:李振华  王彦飞  杨长春
作者单位:1. 油气资源研究重点实验室,中国科学院地质与地球物理研究所, 北京 100029; 2. 中国科学院研究生院,北京 100049
基金项目:国家自然科学基金项目,中国科学院知识创新工程重要方向性项目,国家重点基础研究发展规划(973)项目
摘    要:目前,偏移后的地震剖面往往只是一个地质构造图像,还不能为后续的岩性分析和油气储层属性的提取提供更精确的信息.为了得到高分辨率真振幅的图像,建议采用正则化偏移成像方法.针对本问题数据规模大和正演算子矩阵稀疏的特点,提出采用一种新的算法--无记忆拟牛顿-模拟退火法对偏移算子方程进行求解.该方法综合了无记忆拟牛顿法优良的局部...

关 键 词:偏移  正则化  无记忆拟牛顿法  模拟退火法
收稿时间:2010-03-31

A fast global Optimization algorithm for regularized migration imaging
LI Zhen-Hua,WANG Yan-Fei,YANG Chang-Chun.A fast global Optimization algorithm for regularized migration imaging[J].Chinese Journal of Geophysics,2011,54(3):828-834.
Authors:LI Zhen-Hua  WANG Yan-Fei  YANG Chang-Chun
Institution:1. Key Laboratory of Petroleum Resources Research, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China; 2. Graduate University, Chinese Academy of Sciences, Beijing 100049, China
Abstract:At the present, seismic migration usually only yields an image of the positions of geological structures, and it cannot supply more accurate information for subsequent lithology analysis and attributes extraction. To get an image with high resolution and true amplitude, we suggest that regularized migration imaging should be used. Since the amount of cost for solving the problem is huge and the kernel matrix is sparse, we propose a new hybrid algorithm which is called Memoryless Quasi-Newton-Simulated Annealing Method. The algorithm not only shows as good performance in searching a local optimized solution as memoryless quasi-Newton method does, but also reaches the global optimized solution just as simulated annealing algorithm does. The global optimized solution obtained by this method not only gets the right positions, but also contains more reliable information for amplitude and other attributes. Theoretic simulations and field data applications are performed. It reveals that the proposed algorithm can attenuate the migration artifacts and provide a better frequency distribution of estimated reflectivity when a proper seismic modeling operator is constructed. Therefore, the proposed algorithm is very promising for seismic imaging.
Keywords:Migration  Regularization  Memoryless Quasi-Newton method  Simulated annealing algorithm
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