首页> 外文期刊>Computers & geosciences >Full waveform inversion using Random Mixing
【24h】

Full waveform inversion using Random Mixing

机译:Full waveform inversion using Random Mixing

获取原文
获取原文并翻译 | 示例
           

摘要

Most deterministic full waveform inversion (FWI) approaches require an initial model, which serves as a starting point for the inversion. Determining such an initial model, however, is not straight forward. In this paper, a geostatistical inversion approach called Random Mixing (RM) for FWI is presented. Instead of an initial model, RM requires the assumption of a spatial dependence structure and a univariate marginal distribution. RM uses linear combinations of spatial random fields to constrain the velocity field during inversion. As it is realization-based, RM allows quantification of estimation uncertainty in terms of estimation variance. The presented algorithm uses the finite element method to discretize the seismic forward model and Message Passing Interface is used to parallelize the algorithm. Two synthetic examples are presented to demonstrate the applicability of RM for FWI.

著录项

获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号