基于粒子群优化算法的高阶广义屏偏移成像(英文)
详细信息    查看全文 | 推荐本文 |
  • 英文篇名:High-order generalized screen propagator migration based on particle swarm optimization
  • 作者:何润 ; 尤加春 ; 刘斌 ; 王彦春 ; 邓世广 ; 张丰麒
  • 英文作者:He Run;You Jia-Chun;Liu Bin;Wang Yan-Chun;Deng Shi-Guang;Zhang Feng-Qi;China University of Geosciences (Beijing),School of Geophysics and Information Technology;Sinopec Geophysical Co,LTD,Shengli Branch;Chinese Academy of Geological Sciences;Petroleum Exploration and Production Research Institute;
  • 关键词:粒子群智能算法 ; 高阶广义屏算子 ; Taylor级数 ; 偏移成像 ; 单程波算子
  • 英文关键词:particle swarm optimization;;generalized screen propagator;;Taylor series;;seismic migration;;one-way wave operator
  • 中文刊名:CAGJ
  • 英文刊名:应用地球物理(英文版)
  • 机构:中国地质大学(北京)地球物理与信息技术学院;中国石化石油工程地球物理有限公司胜利分公司;中国地质科学院;中国石化石油勘探开发研究院;
  • 出版日期:2017-03-15
  • 出版单位:Applied Geophysics
  • 年:2017
  • 期:v.14
  • 基金:supported by the 863 Program of China(No.2013AA064201);; National Science and Technology Major Project(No.2016ZX05003-003)
  • 语种:英文;
  • 页:CAGJ201701008
  • 页数:11
  • CN:01
  • ISSN:11-5212/O
  • 分类号:68-76+193-194
摘要
频率-波数域单程波算子能高效地模拟地震波在复杂介质中的传播,但是在描述波的大角度传播和速度横向扰动变化较大介质中传播的问题时仍然存在一定误差。这类误差是由于对单平方根算子使用Taylor展开式的近似程度不足所造成。为了进一步提高泰勒展开式的精确性,本文提出一种利用粒子群智能算法优化级数展开系数的高阶广义屏算子对单平方根算子的展开级数进行优化处理。新的偏移算法能在保持单程波偏移算法高效的前提下进一步提高偏移算子在大角度的成像精度和对强横向速度变化介质的适应性。通过脉冲响应实验,验证了基于粒子群算法优化级数的高阶广义屏算子能够提高常规的高阶广义屏算子的成像精度和成像角度。根据对二维SEG/EAGE盐丘模型的成像处理,基于粒子群算法优化级数的高阶广义屏算子对盐丘下面的断层取得了更高质量的成像,说明粒子群优化级数的高阶广义屏算子比常规的高阶广义屏算子具有更好的横向速度适应性。为了检验本文所提算法对实际资料的处理能力,我们利用常规的偏移处理技术和本文所提算法对一条海上二维数据进行了偏移成像处理,对比分析成像剖面发现本文所提算法描述了更加清晰的层位信息和更高质量的偏移剖面。本文所提算法能有效提高高阶广义屏偏移在广角度成像的能力,具有一定实际应用价值。
        Various migration methods have been proposed to image high-angle geological structures and media with strong lateral velocity variations; however, the problems of low precision and high computational cost remain unresolved. To describe the seismic wave propagation in media with lateral velocity variations and to image high-angle structures, we propose the generalized screen propagator based on particle swarm optimization(PSOGSP), for the precise fitting of the single-square-root operator. We use the 2D SEG/EAGE salt model to test the proposed PSO-GSP migration method to image the faults beneath the salt dome and compare the results to those of the conventional high-order generalized screen propagator(GSP) migration and split-step Fourier(SSF) migration. Moreover, we use 2D marine data from the South China Sea to show that the PSO-GSP migration can better image strong reflectors than conventional imaging methods.
引文
Baysal,E.,Kosloff,D.D.,and Sherwood,J.W.C.,1983,Reverse time migration:Geophysics,48,1514-1524.
    Byoung,Y.K.,Seol,S.J.,Ho-Young L.,and Joongmoo B.,2016,Prestack elastic generalized-screen migration for multicomponent data:Journal of Applied Geophysics,126(3),116-127.
    Chen,J.B.,2010,On the selection of reference velocities for split-step Fourier and generalized-screen migration methods:Geophysics,75(6),249-257.
    Claerbout,J.F.,1985,Imaging the earth's interior:Blackwell scientific publication,Inc.,Cambridge,MA,USA,73-103.
    de Hoop,M.V.,Le Rousseau,J.H.,and Wu,R.S.,2000,Generalization of the phase-screen approximation for the scattering of acoustic waves:Wave Motion,31,285-296.
    Ferguson,R.J.,and Margrave,G.F.,2005,Planned seismic imaging using explicit one-way operators:Geophysics,70(5),S101-S109.
    Gazdag,J.,1978,Wave equation migration with the phaseshift method:Geophysics,43,1342-1351.
    Kelamis,P.G.,1988,On the theory of Chebyshev polynomial in wave-equation migration:Geophysical Journal International,94,421-426.
    Kennedy,J.,and Eberhart,R.C.,1995,Particle Swarm Optimization:Proceedings of IEEE International Conference on Neural Networks,4,1942-1948.
    Kennedy,J.,and Eberhart,R.C.,2001,Swarm Intelligence:Morgan Kaufmann publication,San Francisco,134-142.
    Le Rousseau,J.H.,and de Hoop,M.V.,2001,Modeling and imaging with the scalar generalized-screen algorithms in isotropic media:Geophysics,66,1551-1568.
    Liu,L.N.,and Zhang,J.F.,2006,3D wavefield extrapolation with optimum split-step Fourier method:Geophysics,71(3),T95-T108.
    Mitchell,M.,1996,An introduction to genetic algorithms:MIT Press,Cambridge,MA,155-178.
    Ristow,D.,and Ruhl,T.,1994,Fourier finite-difference migration:Geophysics,59,1882-1893.
    Ristow,D.,and Ruhl,T.,1997,Optimized operators for 3-D Fourier finite-difference migration:Journal of Seismic Exploration,6,367-383.
    Schneider,W.A.,1987,Integral formulation for migration in two and three dimension:Geophysics,43(1),691-714.
    Shin,S.,Byun,J.,and Seol,S.J.,2015,Imaging tilted transversely isotropic media with a generalized screen propagator:Exploration Geophysics,46(4),349-358.
    Stoffa,R.H.,1978,Migration by Fourier transform:Geophysics,43(1),23-48.
    Stoffa,P.L.,Fokkema,J.T.,de Luna Freire,R.M.,and Kessinger,W.P.,1990,Split-step Fourier migration:Geophysics,55,410-421.
    Zhang,J.H.,Wang,W.M.,Wang,S.Q.,and Yao,Z.X.,2010,Optimized Chebyshev Fourier migration:A wideangle dual-domain method for media with strong velocity contrasts:Geophysics,75(2),23-34.
    Zhou,H.M.,Chen,S.C.,and Ren,H.R.,2014,One way wave equation least squares migration based on illumination compensation:Chinese Journal of Geophysics(in Chinese),57(8),2644-2655.
    Zhu,S.W.,Zhang,J.H.,and Yao,Z.X.,2008,Globally optimized Fourier finite difference operator using simulated annealing algorithm based on parameter:Chinese Journal Geophysics(in Chinese),51(6),1844-1850.