非线性反演方法的新进展  

New advancement of non-linear inversion methods

作　　者：贺传松[1] 王椿镛[1] 

机构地区：[1]中国地震局地球物理研究所,中国北京100081

出　　处：《地震地磁观测与研究》2002年第6期9-17,共9页Seismological and Geomagnetic Observation and Research

基　　金：地震联合基金(101089)资助项目

摘　　要：线性化方法在许多具体反演问题中遇到困难的情况下,人们提出了非线性方法,同时,计算技术的发展为非线性方法的应用提供了基础。最近几年,人们对非线性方法又进行了改进和发展,例如:Vasco(1993)提出了集合推论的思想;Sambridge(1995)基于Voronoi单元的思想,提出了自然相邻对不规则数据参数化和插值的方法。相邻算法正是基于以上思想和理论,以及其他非线性方法的实践而提出的一种新的非线性反演方法。s The non-linear inversion methods are developed to overcome the difficulties met when the linear inversion methods are used in the geophysical inversion problems. Meanwhile, the development of modern computer technique provides a foundation for the application of non-linear inversion methods. Recent years, some new concepts are presented to improve the non-linear methods, for example, the idea of ensemble inference (Vasco, 1993) and the natural neighbors concept for geophysical parameterization and interpolation of irregular data (Sambridge, 1995), which is based on Voronoi cell. The neighborhood algorithm is new non-linear inversion method proposed based on the above ideas and the practice of other non-linear methods.

关 键 词：反演 非线性 Voronoi单元 相邻算法 地震勘探 地震学 

分 类 号：P315[天文地球—地震学] P631.4[天文地球—固体地球物理学]