Depth migration by the Gaussian beam summation method

被引:109
|
作者
Popov, Mikhail M. [1 ]
Semtchenok, Nikolay M. [1 ]
Popov, Peter M. [1 ]
Verdel, Arie R. [2 ]
机构
[1] VA Steklov Math Inst, St Petersburg 191011, Russia
[2] Shell Int Explorat & Prod BV, Rijswijk, Netherlands
基金
俄罗斯基础研究基金会;
关键词
Gaussian processes; geophysical image processing; geophysical techniques; Green's function methods; seismic waves; seismology; wave equations; WAVE-FIELDS; COMPUTATION;
D O I
10.1190/1.3361651
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
Seismic depth migration aims to produce an image of seismic reflection interfaces. Ray methods are suitable for subsurface target-oriented imaging and are less costly compared to two-way wave-equation-based migration, but break down in cases when a complex velocity structure gives rise to the appearance of caustics. Ray methods also have difficulties in correctly handling the different branches of the wavefront that result from wave propagation through a caustic. On the other hand, migration methods based on the two-way wave equation, referred to as reverse-time migration, are known to be capable of dealing with these problems. However, they are very expensive, especially in the 3D case. It can be prohibitive if many iterations are needed, such as for velocity-model building. Our method relies on the calculation of the Green functions for the classical wave equation by per-forming a summation of Gaussian beams for the direct and back-propagated wavefields. The subsurface image is obtained by cal-culating the coherence between the direct and backpropagated wavefields. To a large extent, our method combines the advantages of the high computational speed of ray-based migration with the high accuracy of reverse-time wave-equation migration because it can overcome problems with caustics, handle all arrivals, yield good images of steep flanks, and is readily extendible to target-oriented implementation. We have demonstrated the quality of our method with several state-of-the-art benchmark subsurface models, which have velocity variations up to a high degree of complexity. Our algorithm is especially suited for efficient imaging of selected subsurface subdomains, which is a large advantage particularly for 3D imaging and velocity-model refinement applications such as subsalt velocity-model improvement. Because our method is also capable of providing highly accurate migration results in structurally complex subsurface settings, we have also included the concept of true-amplitude imaging in our migration technique.
引用
收藏
页码:S81 / S93
页数:13
相关论文
共 50 条
  • [21] Mode Gaussian beam tracing
    Trofimov, M. Yu.
    Zakharenko, A. D.
    Kozitskiy, S. B.
    COMPUTER PHYSICS COMMUNICATIONS, 2016, 207 : 179 - 185
  • [22] Delayed-shot 3D depth migration
    Zhang, Y
    Sun, J
    Notfors, C
    Gray, SH
    Chernis, L
    Young, J
    GEOPHYSICS, 2005, 70 (05) : E21 - E28
  • [23] Prestack shot-gather depth migration by a rigid flow of Gaussian wave packets
    Duchkov, Anton A.
    Andersson, Fredrik
    Ojala, Rikard
    STUDIA GEOPHYSICA ET GEODAETICA, 2012, 56 (01) : 83 - 106
  • [24] A scattering wave modeling method using Gaussian beam and Gaussian packet in the Gabor domain
    Li Hui
    Wang Hua-Zhong
    CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION, 2015, 58 (04): : 1317 - 1332
  • [25] A computational method for wide-azimuth 3D dip-angle gathers using Gaussian beam migration
    Zhuang, Su-Bin
    Huang, Jian-Ping
    Yang, Ji-Dong
    Li, Zhen-Chun
    PETROLEUM SCIENCE, 2022, 19 (05) : 2081 - 2094
  • [26] Anisotropic complex Padeacute hybrid finite-difference depth migration
    Amazonas, Daniela
    Aleixo, Rafael
    Schleicher, Joerg
    Costa, Jesse C.
    GEOPHYSICS, 2010, 75 (02) : S51 - S59
  • [27] Radial quadrature method for evaluating the beam shape coefficients of the Laguerre-Gaussian beam
    Wang, Mengyang
    Tang, Siqi
    Shen, Jianqi
    JOURNAL OF THE OPTICAL SOCIETY OF AMERICA B-OPTICAL PHYSICS, 2024, 41 (07) : 1587 - 1598
  • [28] Reverse Time Migration with Elastodynamic Gaussian Beams
    Huang, Jianping
    Yuan, Maolin
    Zhang, Qing
    Jia, Lingxiao
    Li, Zhenchun
    Li, Jiguang
    Zhao, Shengtian
    JOURNAL OF EARTH SCIENCE, 2017, 28 (04) : 695 - 702
  • [29] UWB RCS calculations of smooth targets via the multi-band beam summation method
    Chopde, Pranav
    Heyman, Ehud
    Boag, Amir
    JOURNAL OF ELECTROMAGNETIC WAVES AND APPLICATIONS, 2024, 38 (17) : 1869 - 1900
  • [30] Taylor expansion and discretization errors in Gaussian beam superposition
    Motamed, Mohammad
    Runborg, Olof
    WAVE MOTION, 2010, 47 (07) : 421 - 439