| 二阶精度广义非线性全局最优的偏移速度反演方法(英文) |
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| 引用本文： | 赵太银,胡光岷,贺振华,黄德济.二阶精度广义非线性全局最优的偏移速度反演方法(英文)[J].应用地球物理,2009,6(2):138-149. |
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| 作者姓名： | 赵太银 胡光岷 贺振华 黄德济 |
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| 作者单位： | Zhao Taiyin,Hu Guangmin(School of Communication and Information Engineering,UESTC,Chengdu 610054,China);He Zhenhua,Huang Deji(State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation,CDUT,Chengdu 610059,China)
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| 摘 要： | 如何快速、精确地利用叠前深度偏移进行偏移速度分析是勘探地震学的一项重要研究内容,针对该问题,本文提出一种二阶精度广义非线性全局最优的偏移速度反演方法。我们将首先去掉速度模型修正量与成象深度差呈线性关系的假设,推导出具有二阶精度的速度模型修正量计算公式,使每一次迭代得到的速度模型尽可能地接近实际模型;然后采用广义非线性反演方法反演获得对所有道集的全局最优的速度模型修正量,不仅极大地加快了收敛速度,而且反演过程中陷入局部极小的可能性也减小了。理论模型和Marmousi模型的处理结果表明:本方法精度高、处理速度快,提高了偏移速度分析方法的实用性和对复杂构造成像的准确性。
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| 关 键 词： | 偏移速度分析 非线性全局优化 精度 反演方法 广义 叠前深度偏移 速度模型 非线性反演 |
A Quadratic precision generalized nonlinear global optimization migration velocity inversion method |
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| Taiyin Zhao,Guangmin Hu,Zhenhua He,Deji Huang.A Quadratic precision generalized nonlinear global optimization migration velocity inversion method[J].Applied Geophysics,2009,6(2):138-149. |
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| Authors: | Taiyin Zhao Guangmin Hu Zhenhua He Deji Huang |
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| Institution: | [1]School of Communication and Information Engineering, UESTC, Chengdu 610054, China [2]State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, CDUT, Chengdu 610059, China |
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| Abstract: | An important research topic for prospecting seismology is to provide a fast accurate velocity model from pre-stack depth migration. Aiming at such a problem, we propose a quadratic precision generalized nonlinear global optimization migration velocity inversion. First we discard the assumption that there is a linear relationship between residual depth and residual velocity and propose a velocity model correction equation with quadratic precision which enables the velocity model from each iteration to approach the real model as quickly as possible. Second, we use a generalized nonlinear inversion to get the global optimal velocity perturbation model to all traces. This method can expedite the convergence speed and also can decrease the probability of falling into a local minimum during inversion. The synthetic data and Marmousi data examples show that our method has a higher precision and needs only a few iterations and consequently enhances the practicability and accuracy of migration velocity analysis (MVA) in complex areas. |
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| Keywords: | Pre-stack depth migration migration velocity analysis generalized nonlinear inversion common imaging gather |
| 本文献已被 CNKI 维普 万方数据 SpringerLink 等数据库收录！ |
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