物探与化探Issue(1)：203-210,8.DOI:10.11720/wtyht.2015.1.33
基于Metropolis抽样的弹性阻抗随机反演
Stochastic inversion of elastic impedance based on Metropolis sampling algorithm
摘要
Abstract
Stochastic inversion of elastic impedance based on Metropolis sampling algorithm is a Monte Carlo based strategy for non-linear inversion,which can effectively integrate the high⁃frequency information of well⁃logging data and have a higher resolution. This method is formulated in the Bayesian framework.Firstly,the priori information can be obtained through Fast Fourier Transform⁃Moving Average (FFT⁃MA) and Gradual Deformation Method (GDM).Then Metropolis algorithm is employed so as to obtain an exhaustive characterization of the posteriori probability density.FFT⁃MA is a kind of efficient simulation method.Combined with GDM,it can con⁃stantly modify the reservoir model and keep the spatial structure unchanged until it matches the observed seismic data.According to the numerical calculations,it can be concluded that FFT⁃MA simulation can reduce the time consumption.Combined with GDM updating al⁃gorithm,the inversion results can converge rapidly,and the final results match the model well and have a higher resolution.In addition, this method adopts two⁃step method to invert elastic parameters,so it improves the computational efficiency to some extent.关键词
快速傅里叶滑动平均模拟算法/逐渐变形算法/弹性阻抗/高分辨率/Metropolis抽样Key words
FFT-MA/GDM/elastic impedance/high-resolution/Metropolis sampling分类
天文与地球科学引用本文复制引用
孙瑞莹,印兴耀,王保丽,张广智..基于Metropolis抽样的弹性阻抗随机反演[J].物探与化探,2015,(1):203-210,8.基金项目
国家重点基础研究发展计划（973计划）（2013CB228604）；国家科技重大专项项目（2011ZX05030－004－002）；国家自然科学基金项目（41204085）；中国石化地球物理重点实验室项目 （）
