首页> 外文会议>International Conference on Physics and its Applications >Robust inverse scattering full waveform seismic tomography for imaging complex structure
【24h】

Robust inverse scattering full waveform seismic tomography for imaging complex structure

机译:用于成像复杂结构的鲁棒逆散射全波形地震结构

获取原文
获取外文期刊封面目录资料

摘要

Seismic tomography becomes important tool recently for imaging complex subsurface. It is well known that imaging complex rich fault zone is difficult. In this paper. The application of time domain inverse scattering wave tomography to image the complex fault zone would be shown on this paper, especially an efficient time domain inverse scattering tomography and their run in cluster parallel computer which has been developed. This algorithm is purely based on scattering theory through solving Lippmann Schwienger integral by using Born's approximation. In this paper, it is shown the robustness of this algorithm especially in avoiding the inversion trapped in local minimum to reach global minimum. A large data are solved by windowing and blocking technique of memory as well as computation. Parameter of windowing computation is based on shot gather's aperture. This windowing technique reduces memory as well as computation significantly. This parallel algorithm is done by means cluster system of 120 processors from 20 nodes of AMD Phenom II. Benchmarking of this algorithm is done by means Marmoussi model which can be representative of complex rich fault area. It is shown that the proposed method can image clearly the rich fault and complex zone in Marmoussi model even though the initial model is quite far from the true model. Therefore, this method can be as one of solution to image the very complex mode.
机译:地震断层扫描最近成为成像复杂地下的重要工具。众所周知,成像复杂的故障区很困难。在本文中。时间域逆散射波断层扫描到图像的应用将在本文上显示复杂断层区域,尤其是一个有效的时域反散射断层扫描和它们在已经开发的集群并行计算机中的运行。通过使用诞生的近似来解决Lippmann Schwienger积分而纯粹基于散射理论。在本文中,示出了该算法的鲁棒性,尤其是在避免以局部最小值捕获的反演以达到全局最小值。通过窗口和阻塞存储器以及计算来解决大数据。窗口计算的参数基于拍摄收集的孔径。此窗口技术可显着减少存储器以及计算。该并行算法通过来自AMD Phenom II的20个节点的120个处理器的集群系统完成。该算法的基准测试由MARMOUSSI模型完成,可以代表复杂的丰富断层区域。结果表明,即使初始模型远离真实模型,所提出的方法也可以显然是Marmoussi模型中的丰富故障和复杂区域。因此,该方法可以作为图像的解决方案之一,以实现非常复杂的模式。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
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