Comparison of Kirchhoff and reverse‐time migration methods with applications to prestack depth imaging of complex structures

Author:

Zhu Jinming1,Lines Larry R.1

Affiliation:

1. Memorial University Seismic Imaging Consortium, Department of Earth Sciences, St. John’s, Newfoundland, Canada A1B 3X5. Emails:

Abstract

The performance of two popular migration methods—the Kirchhoff integral and reverse‐time migrations—is evaluated through applications to imaging complex structures using prestack shot records. The migration results from the Marmousi model data demonstrate that reverse‐time migration is more accurate than Kirchhoff migration in imaging the steeply dipping faults. However, the improved accuracy of reverse‐time migration requires higher computational costs. In the application to the Alberta Foothills data where a good estimate of the velocity model is available, however, both the Kirchhoff and the reverse‐time migration methods produce almost identical results. This implies that in the real world of exploration seismology, it will be relatively difficult to identify which method performs better because we never know the exact answer of the subsurface.

Publisher

Society of Exploration Geophysicists

Subject

Geochemistry and Petrology,Geophysics

Cited by 60 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Generative adversarial network-enhanced directional seismic wavefield decomposition and its application in reverse time migration;GEOPHYSICS;2024-04-05

2. Ultrasonic imaging of delamination in thick CFRP laminates using an energy-compensation reverse time migration method;Ultrasonics;2024-03

3. Prestack Least-Squares Reverse Time Migration With an Exact Adjoint Operator for Ground-Penetrating Radar;IEEE Transactions on Geoscience and Remote Sensing;2024

4. Joint Migration Inversion Based on a Full-Wavefield Acoustic Wave Equation With Vector Reflectivity;IEEE Transactions on Geoscience and Remote Sensing;2024

5. Efficient Large Scale Reverse-time Migration Imaging Computation based on Distributed Spark Cluster with GPUs;2023 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom);2023-12-21

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