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利用MCMC方法估算地震参数
引用本文:张广智,王丹阳,印兴耀.利用MCMC方法估算地震参数[J].石油地球物理勘探,2011(4):605-609,667,496,497.
作者姓名:张广智  王丹阳  印兴耀
作者单位:中国石油大学(华东)地球资源与信息学院;
基金项目:国家973项目(CB209605); 油气重大专项(2008ZX05014-001-010HZ)资助
摘    要:本文介绍了用MCMC(马尔可夫链蒙特卡洛)方法估计地震参数的基本原理及应用。首先利用MCMC方法生成马尔可夫链,然后对链进行统计分析,得到未知参数的估计值。在运用Metropolis-Hastings算法生成马尔可夫链时,可随着迭代次数的增加逐渐减小其游走的步长,以确保迭代初期较早收敛到真值附近,迭代后期在真值附近能得到精度较高的估计值。模型试算结果表明:反演结果与理论模型基本吻合,实际资料的应用效果也证明了算法的有效性。

关 键 词:非线性反演  马尔可夫链蒙特卡洛方法  Metropolis-Hastings算法

Seismic parameter estimation using Markov Chain Monte Carlo Method
Zhang Guang-zhi,Wang Dan-yang , Yin Xing-yao..College of Geo-resources , Information,China University of Petroleum,Qingdao,Sh,ong ,Chin.Seismic parameter estimation using Markov Chain Monte Carlo Method[J].Oil Geophysical Prospecting,2011(4):605-609,667,496,497.
Authors:Zhang Guang-zhi  Wang Dan-yang  Yin Xing-yaoCollege of Geo-resources  Information  China University of Petroleum  Qingdao  Sh  ong  Chin
Affiliation:Zhang Guang-zhi1,Wang Dan-yang1 and Yin Xing-yao1.1.College of Geo-resources and Information,China University of Petroleum(East China),Qingdao,Shandong 266555,Chin
Abstract:This paper introduces the basic theory and applications of Markov Chain Monte Carlo(MCMC) method for estimating seismic parameters.By making statistical analysis of the chains which are generated by MCMC,the estimates of unknown parameters are obtained.The algorithm for chain generation is Metropolis-Hastings algorithm,and the step length in proposal distribution function decreases as the number of iterations goes up,which ensure the speed to converge at the beginning and the precision of the estimation.The...
Keywords:non-linear inversion  Markov Chain Monte Carlo  Metropolis-Hastings algorithm  
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