Efficient Parallel Implementation of Multi-Arrival 3D Prestack Seismic Depth Migration

A. Pleshkevich, A. Ivanov, V. Levchenko, S. Khilkov, B. P. Moroz
{"title":"Efficient Parallel Implementation of Multi-Arrival 3D Prestack Seismic Depth Migration","authors":"A. Pleshkevich, A. Ivanov, V. Levchenko, S. Khilkov, B. P. Moroz","doi":"10.14529/JSFI190101","DOIUrl":null,"url":null,"abstract":"The goal of seismic migration is to reconstruct the image of Earth's depth inhomogeneities on the base of seismic data. Seismic data is obtained using shots in shallow wells that are located in a dense grid points. Those shots could be considered as special point sources. A reflected and scattered seismic waves from the depth inhomogeneities are received by geophones located also in a dense grid points on a surface. A seismic image of depth inhomogeneities can be constructed based on these waves. The implementation of 3-D seismic migration implies the solution of about 10 4÷5 3-D direct problems of wave propagation. Hence efficient asymptotic methods are of a great practical importance. The multi-arrival 3-D seismic migration program is implemented based on a new asymptotic method. It takes into account multi-pass wave propagation and caustics. The program uses parallel calculations in an MPI environment on hundreds and thousands of processor cores. The program was successfully tested on an international synthetic \"SEG salt\" data set and on real data. A seismic image cube for Timan-Pechora region is given as an example.","PeriodicalId":338883,"journal":{"name":"Supercomput. Front. Innov.","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Supercomput. Front. Innov.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14529/JSFI190101","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The goal of seismic migration is to reconstruct the image of Earth's depth inhomogeneities on the base of seismic data. Seismic data is obtained using shots in shallow wells that are located in a dense grid points. Those shots could be considered as special point sources. A reflected and scattered seismic waves from the depth inhomogeneities are received by geophones located also in a dense grid points on a surface. A seismic image of depth inhomogeneities can be constructed based on these waves. The implementation of 3-D seismic migration implies the solution of about 10 4÷5 3-D direct problems of wave propagation. Hence efficient asymptotic methods are of a great practical importance. The multi-arrival 3-D seismic migration program is implemented based on a new asymptotic method. It takes into account multi-pass wave propagation and caustics. The program uses parallel calculations in an MPI environment on hundreds and thousands of processor cores. The program was successfully tested on an international synthetic "SEG salt" data set and on real data. A seismic image cube for Timan-Pechora region is given as an example.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
多点三维叠前地震深度偏移的高效并行实现
地震偏移的目的是在地震资料的基础上重建地球深度非均匀性图像。地震数据是利用位于密集网格点的浅井的射孔获得的。这些镜头可以看作是特殊的点源。来自深度不均匀性的反射和散射地震波由同样位于地表密集网格点上的检波器接收。基于这些波可以构造深度不均匀性的地震图像。三维地震偏移的实现意味着解决了大约10个4÷5三维直接波传播问题。因此,有效的渐近方法具有重要的实际意义。基于一种新的渐近方法,实现了多点三维地震偏移程序。它考虑了多通波传播和焦散。该程序在MPI环境中使用数百和数千个处理器内核的并行计算。该程序在国际合成“SEG盐”数据集和实际数据上进行了成功的测试。以Timan-Pechora地区的地震图像立方体为例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A Supercomputer-Based Modeling System for Short-Term Prediction of Urban Surface Air Quality River Routing in the INM RAS-MSU Land Surface Model: Numerical Scheme and Parallel Implementation on Hybrid Supercomputers Data Assimilation by Neural Network for Ocean Circulation: Parallel Implementation Multistage Iterative Method to Tackle Inverse Problems of Wave Tomography Machine Learning Approaches to Extreme Weather Events Forecast in Urban Areas: Challenges and Initial Results
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1