Curvelet-based migration preconditioning and scaling

Author:

Herrmann Felix J.1,Brown Cody R.1,Erlangga Yogi A.1,Moghaddam Peyman P.1

Affiliation:

1. University of British Columbia, Department of Earth and Ocean Sciences, Seismic Laboratory for Imaging and Modeling, Vancouver, Canada. .

Abstract

The extremely large size of typical seismic imaging problems has been a major stumbling block for iterative techniques to attain accurate migration amplitudes. These iterative methods are important because they complement theoretical approaches hampered by difficulties controlling problems such as finite-acquisition aperture, source-receiver frequency response, and directivity. To solve these problems, we apply preconditioning, which significantly improves convergence of least-squares migration. We discuss different levels of preconditioning: corrections for the order of the migration operator, corrections for spherical spreading, and position- and reflector-dip-dependent amplitude errors. Although the first two corrections correspond to simple scalings in the Fourier and physical domain, the third correction requires phase-space (space spanned by location and dip) scaling, which we carry out with curvelets. Our combined preconditioner significantly improves the convergence of least-squares wave-equation migration on a line from the SEG/EAGE [Formula: see text] salt model.

Publisher

Society of Exploration Geophysicists

Subject

Geochemistry and Petrology,Geophysics

Reference27 articles.

1. Aminzadeh, F., J. Brac, and T. Kunz, 1997, 3-D salt and overthrust model: SEG/EAGE 3-D Modeling Series 1, SEG.

2. Fast Discrete Curvelet Transforms

3. An optimal true‐amplitude least‐squares prestack depth‐migration operator

4. Claerbout, J., and D. Nichols, 1994, Spectral preconditioning: Stanford Exploration Project Technical Report SEP-82.

5. Wave atoms and sparsity of oscillatory patterns

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3