基于优化时空域频散关系的声波方程有限差分最小二乘逆时偏移
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  • 英文篇名:Least-square reverse time migration of finite-difference acoustic wave equation based on an optimal time-space dispersion relation
  • 作者:薛浩 ; 刘洋 ; 杨宗青
  • 英文作者:Xue Hao;Liu Yang;Yang Zongqing;State Key Laboratory of Petroleum Resources and Prospecting,China University of Petroleum (Beijing);CNPC Key Laboratory of Geophysical Prospecting,China University of Petroleum (Beijing);Faculty of Petroleum,Karamay Campus,China University of Petroleum (Beijing);Southwest Branch,BGP Inc.,CNPC;
  • 关键词:最小二乘逆时偏移 ; 优化时空域 ; 混合吸收边界 ; 有限差分 ; 频散关系
  • 英文关键词:least-square reverse time migration(LSRTM);;optimal time-space domain;;hybrid absorption boundary condition;;finite difference;;dispersion relation
  • 中文刊名:SYDQ
  • 英文刊名:Oil Geophysical Prospecting
  • 机构:中国石油大学(北京)油气资源与探测国家重点实验室;中国石油大学(北京)CNPC物探重点实验室;中国石油大学(北京)克拉玛依校区石油学院;中国石油集团东方地球物理公司西南物探分公司;
  • 出版日期:2018-05-19 11:10
  • 出版单位:石油地球物理勘探
  • 年:2018
  • 期:v.53
  • 基金:国家自然科学基金项目(41474110)资助
  • 语种:中文;
  • 页:SYDQ201804011
  • 页数:11
  • CN:04
  • ISSN:13-1095/TE
  • 分类号:7-8+100-108
摘要
相比常规逆时偏移,最小二乘逆时偏移(LSRTM)成像结果更趋真实,分辨率更高,其精确成像的关键之一是波动方程的精确、高效求解。为了提高LSRTM计算精度,本文通过优化时空域频散关系求取差分系数,进行有限差分正演模拟,频散分析和数值模拟结果表明采用该算法可提高数值模拟精度;利用混合吸收边界条件压制边界反射,可取得较好吸收效果;采用改进的共轭梯度法计算流程,能减少波动方程正演次数,提高计算效率。模型数据测试及分析表明,本文方法能有效提高LSRTM成像精度,精细刻画构造细节,提高迭代收敛速度。
        Compared with conventional reverse time migration methods,least-square reverse time migration(LSRTM)has the advantage of high resolution imaging with more fidelity.One of the key factors in LSRTM is high-resolution scheme and highefficiency wave equation calculation.In order to improve the imaging accuracy in LSRTM,an optimal finite-difference scheme is used to obtain the differential coefficient with a time-space dispersion relation,and the coefficient is used to perform a finitedifference forward modeling.The results of frequency dispersion analysis and numerical simulation have demonstrated that higher accuracy can be obtained based on an optimal time-space-domain dispersion relation.Hybrid absorption boundary conditions are used to decrease edge reflections and achieve better absorption.An improved conjugate gradient algorithm is used to optimize the LSRTM workflow and can reduce the wave equation simulation time.Numerical simulation results verify that the proposed method can not only effectively improve the imaging accuracy and the imaging ability of fine structural details but also accelerate the iteration convergence.
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