3-D Poststack Migration Using the Adjoint Operator of Modeling

被引:0
|
作者
Yang, Qiqiang [1 ]
机构
[1] Hainan Trop Ocean Coll, Dept Math, Sanya, Peoples R China
关键词
3-D; Migration; Adjoint operator; Modeling;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
From the modeling operator, we derive its adjoint operator which is used to migrate 3-D poststack data. It forms a theoretical foundation for the reverse-time migration. The method would be helpful to get a new way to improve the result of conventional reverse-time migration. The inference of the adjoint operator is adaptive to other modeling method including both poststak modeling and prestack modeling. In this paper, we focus on poststack migration for 3-D problems. And the Fourier method for time stepping is discussed. Furthermore, we adopt the numerical software FFTW to perform Fourier transformation, with which the efficiency of the algorithm is greatly improved.
引用
收藏
页码:393 / 396
页数:4
相关论文
共 50 条
  • [1] Applications of accurate 3-D poststack depth migration
    Smith, Brackin A.
    Tanis, Mehmet C.
    [J]. Leading Edge (Tulsa, OK), 1997, 16 (08):
  • [2] A SIMPLE EXACT METHOD OF (3-D) MIGRATION THEORY A NOTE IN FAVOR OF THE MYTH OF NONSEPARABILITY OF THE (3-D) MIGRATION OPERATOR - REPLY
    JAKUBOWICZ, H
    LEVIN, S
    [J]. GEOPHYSICAL PROSPECTING, 1986, 34 (06) : 937 - 939
  • [3] A SIMPLE EXACT METHOD OF (3-D) MIGRATION THEORY A NOTE IN FAVOR OF THE MYTH OF NONSEPARABILITY OF THE (3-D) MIGRATION OPERATOR - COMMENTS
    FOKKEMA, JT
    LORTZER, GJM
    ZIOLKOWSKI, AM
    [J]. GEOPHYSICAL PROSPECTING, 1986, 34 (06) : 927 - 936
  • [4] 3-D Poststack Seismic Data Compression With a Deep Autoencoder
    Schiavon, Ana Paula
    Ribeiro, Kevyn
    Navarro, Joao Paulo
    Vieira, Marcelo Bernardes
    Cruz e Silva, Pedro Mario
    [J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2022, 19
  • [5] FAST 3-D MODELING TECHNIQUE AND FUNDAMENTALS OF 3-D FREQUENCY-DOMAIN MIGRATION
    HERMAN, A
    ANANIA, R
    CHUN, J
    JACEWITZ, C
    [J]. GEOPHYSICS, 1979, 44 (03) : 329 - 329
  • [6] Composite loss function for 3-D poststack seismic data compression
    Ribeiro, Kevyn Swhants dos Santos
    Vieira, Marcelo Bernardes
    Villela, Saulo Moraes
    Renhe, Marcelo Caniato
    Pedrini, Helio
    Navarro, Joao Paulo
    [J]. COMPUTERS & GEOSCIENCES, 2024, 189
  • [7] 3-D MIGRATION USING THE CAUSALITY PRINCIPLE
    FOKKEMA, JT
    ZIOLKOWSKI, AM
    BAETEN, GJM
    [J]. GEOPHYSICS, 1987, 52 (03) : 420 - 420
  • [8] Poststack Seismic Data Denoising Based on 3-D Convolutional Neural Network
    Liu, Dawei
    Wang, Wei
    Wang, Xiaokai
    Wang, Cheng
    Pei, Jiangyun
    Chen, Wenchao
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2020, 58 (03): : 1598 - 1629
  • [9] 3-D Modeling Using Collaborative Evolution
    Quiroz, Juna C.
    Banerjee, Amit
    Louis, Sushil J.
    [J]. PROCEEDINGS OF THE FOURTEENTH INTERNATIONAL CONFERENCE ON GENETIC AND EVOLUTIONARY COMPUTATION COMPANION (GECCO'12), 2012, : 653 - 654
  • [10] 3-D modeling using 3-D rotation invariant phase only correlation
    Hada R.
    Terada K.
    [J]. 2016, Institute of Electrical Engineers of Japan (136) : 1128 - 1134