期刊文献+
共找到3篇文章
< 1 >
每页显示 20 50 100
免疫算法的改进及在参数反演中的应用
1
作者 刘自丽 张海燕 《微计算机信息》 2010年第15期168-170,共3页
本文提出一种改进的免疫算法。该算法用正交交叉生成初始种群,用精英交叉来增加群体的优良模式,用混合变异提高局部和全局寻优能力。将该方法应用于墨西哥湾地区典型地层模型AVO弹性参数反演。数值试验结果表明,和传统免疫算法相比,改... 本文提出一种改进的免疫算法。该算法用正交交叉生成初始种群,用精英交叉来增加群体的优良模式,用混合变异提高局部和全局寻优能力。将该方法应用于墨西哥湾地区典型地层模型AVO弹性参数反演。数值试验结果表明,和传统免疫算法相比,改进算法在反演精度和收敛速度上都有了很大的提高。 展开更多
关键词 免疫算法 正交交叉 avo弹性参数反演
下载PDF
AVO技术新进展 被引量:5
2
作者 刘伟 曹思远 《物探化探计算技术》 CAS CSCD 2008年第6期471-479,共9页
这里主要介绍了第77届(2007)SEG年会上AVO技术的进展情况,主要涉及AVO分析方法新进展,AVO正演模拟技术,AVO处理和参数反演技术及应用实例等。其中,利用AVO反演弹性参数预测流体仍然是本届年会研究的重点。从这些方法的研究思路和应用效... 这里主要介绍了第77届(2007)SEG年会上AVO技术的进展情况,主要涉及AVO分析方法新进展,AVO正演模拟技术,AVO处理和参数反演技术及应用实例等。其中,利用AVO反演弹性参数预测流体仍然是本届年会研究的重点。从这些方法的研究思路和应用效果上可以看出,AVO技术的发展现状及其在油气检测中的应用前景。 展开更多
关键词 avo技术 avo正演模拟 avo处理 avo弹性参数反演
下载PDF
Cauchy prior distribution-based AVO elastic parameter estimation via weakly nonlinear waveform inversion 被引量:1
3
作者 麻纪强 耿建华 《Applied Geophysics》 SCIE CSCD 2013年第4期442-452,511,512,共13页
Cauchy priori distribution-based Bayesian AVO reflectivity inversion may lead to sparse estimates that are sensitive to large reflectivities. For the inversion, the computation of the covariance matrix and regularized... Cauchy priori distribution-based Bayesian AVO reflectivity inversion may lead to sparse estimates that are sensitive to large reflectivities. For the inversion, the computation of the covariance matrix and regularized terms requires prior estimation of model parameters, which makes the iterative inversion weakly nonlinear. At the same time, the relations among the model parameters are assumed linear. Furthermore, the reflectivities, the results of the inversion, or the elastic parameters with cumulative error recovered by integrating reflectivities are not well suited for detecting hydrocarbons and fuids. In contrast, in Bayesian linear AVO inversion, the elastic parameters can be directly extracted from prestack seismic data without linear assumptions for the model parameters. Considering the advantages of the abovementioned methods, the Bayesian AVO reflectivity inversion process is modified and Cauchy distribution is explored as a prior probability distribution and the time-variant covariance is also considered. Finally, we propose a new method for the weakly nonlinear AVO waveform inversion. Furthermore, the linear assumptions are abandoned and elastic parameters, such as P-wave velocity, S-wave velocity, and density, can be directly recovered from seismic data especially for interfaces with large reflectivities. Numerical analysis demonstrates that all the elastic parameters can be estimated from prestack seismic data even when the signal-to-noise ratio of the seismic data is low. 展开更多
关键词 Cauchy priori distribution avo elastic parameters inversion weakly nonlinear waveform inversion
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部