吉林大学学报(地球科学版)

• 地球探测与信息技术 • 上一篇    下一篇

基于裂步DSR的最小二乘偏移方法

黄建平1,薛志广1,步长城2,李振春1,王常波2,高国超1,曹晓莉1,李国磊2   

  1. 1.中国石油大学(华东)地球科学与技术学院,山东 青岛266580;
    2.胜利油田物探研究院,山东 东营257022
  • 收稿日期:2013-06-30 出版日期:2014-01-26 发布日期:2014-01-26
  • 作者简介:黄建平(1982-),男,副教授,博士,主要从事地震波正演及偏移成像工作,E-mail:jphuang@mail.ustc.edu.cn
  • 基金资助:

    国家自然科学基金项目(41104069,41274124);国家“973”计划项目(2014CB239006);山东省自然科学基金项目(ZR2011DQ016);中央高校基本科研业务费专项基金项目(R1401005A)

The Study of Least-Squares Migration Method Based on Split-Step DSR

Huang Jianping1,Xue Zhiguang1,Bu Changcheng2,Li Zhenchun1,Wang Changbo2, Gao Guochao1,Cao Xiaoli1, Li Guolei2   

  1. 1.School of Geosciences,China University of Petroleum,Qingdao266580,Shandong, China;
    2.Shengli Geophysical Research Institute, SINOPEC,Dongying257022, Shandong, China
  • Received:2013-06-30 Online:2014-01-26 Published:2014-01-26

摘要:

为适应复杂构造和岩性油气藏勘探开发对地震处理精度的需求,一种源于反演思想的最小二乘偏移算法应运而生。基于最小二乘偏移基本理论,推导了互为共轭的正传播和反传播算子,实现了基于裂步DSR的最小二乘偏移算法。在算法优化的基础上,将算法分别应用于水平层状和Marmousi模型进行偏移试算,结果证实了LSM不仅适用于复杂地质构造成像,且经过多次迭代后的成像质量在局部区域要优于常规偏移方法,具体表现为:1)成像分辨率有一定提高;2)中深层能量得到有效补偿。

关键词: 最小二乘偏移, 裂步双均方根, 共轭梯度, 成像分辨率

Abstract:

In order to adapt for the exploration and development of complex structures and lithologic hydrocarbon reservoirs, leastsquares migration method applying inversion is proposed. In this paper, based on the basic theory of leastsquares migration (LSM), we deduced the forward propagator and its adjoint of back propagator, and then LSM based on split-step DSR was implemented. We tested this algorithm via four layers and SEG/EAGE Marmousi velocity model. The image results demonstrate that LSM has not only a high image resolution for the complex media, in addition,there will be a better image quality than conventional migration method after several iterations of conjugate gradient method for some local regions in the follow aspects: 1)the image resolution is highly improved; 2)A better imaging energy compensation for the deeper part of the model.

Key words: least-squares migration, split-step DSR, conjugate gradient, imaging resolution

中图分类号: 

  • P631.4
[1] 王泰涵, 黄大年, 马国庆, 李野, 林松. 基于并行预处理算法的三维重力快速反演[J]. 吉林大学学报(地球科学版), 2018, 48(2): 384-393.
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