• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>IEEE Geoscience and Remote Sensing Letters >Single-Step Data-Domain Least-Squares Reverse-Time Migration Using Gabor Deconvolution for Subsalt Imaging
【24h】

Single-Step Data-Domain Least-Squares Reverse-Time Migration Using Gabor Deconvolution for Subsalt Imaging

机译：单步数据域最小二乘使用Gabor Deconvolult进行余下成像的逆向时间迁移

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Least-squares reverse-time migration (LSRTM) distinctly improves seismic imaging quality, but at an expensive computation overhead involving tens of iterations. We herein take a computationally cheaper single-step LSRTM solution, which intrinsically performs deblurring through a data-domain Wiener deconvolution. However, the Wiener filter mainly solves the signal estimation problems for stationary signals. Subsalt imaging often suffers from strong salt-related reflections and artifacts. The former and the latter give rise to strong amplitude variance and changed source wavelets in the demigrated data, increasing its nonstationarity and hindering the data-deblurring operation in the single-step LSRTM. To alleviate the nonstationarity during the data-domain deblurring, we consider a Gabor deconvolution method. Testing on the Sigsbee data sets shows that the Gabor deconvolution method is effective, producing subsalt images of more balanced events and fewer artifacts than the raw RTM image. The Gabor deconvolution-related result also outperforms the standard single-step LSRTM result with more robust behavior and better subsalt imaging quality.
机译：最小二乘反向时间迁移（LSRTM）明显提高地震成像质量，而是涉及数十次迭代的昂贵计算开销。我们在本文中采用了计算上便宜的单步骤LSRTM解决方案，其通过数据域Wiener Deconvolulate本质上执行去纹理。然而，维纳滤波器主要解决静止信号的信号估计问题。 subsalt成像通常存在强烈的盐相关的反射和伪影。前者和后者产生强大的幅度方差和改变损坏的数据中的源小波，增加了其非运动性并阻碍了单步LSRTM中的数据去纹理操作。为了减轻数据域的解擦性期间的非间抗性，我们考虑一种Gabor Deconvolution方法。在SigsBee数据集上测试表明，Gabor Deconvolution方法是有效的，产生比原始RTM图像更平衡事件的余量图像和更少的伪像。与Gabor Deconvolutib相关的结果也优于标准的单步LSRTM，具有更强大的行为和更好的余小的成像质量。

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