| 基于裂步DSR的最小二乘偏移方法 |
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| 引用本文： | 黄建平,薛志广,步长城,李振春,王常波,高国超,曹晓莉,李国磊.基于裂步DSR的最小二乘偏移方法[J].吉林大学学报(地球科学版),2014,44(1):369. |
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| 作者姓名： | 黄建平 薛志广 步长城 李振春 王常波 高国超 曹晓莉 李国磊 |
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| 作者单位： | 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 |
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| 基金项目： | 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) |
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| 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。
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| 关 键 词： | 最小二乘偏移 裂步双均方根 共轭梯度 成像分辨率 |
| 收稿时间： | 2013-06-30 |
The Study of Least-Squares Migration Method Based on Split-Step DSR |
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| Huang Jianping,Xue Zhiguang,Bu Changcheng,Li Zhenchun,Wang Changbo,Gao Guochao,Cao Xiaoli,Li Guolei.The Study of Least-Squares Migration Method Based on Split-Step DSR[J].Journal of Jilin Unviersity:Earth Science Edition,2014,44(1):369. |
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| Authors: | Huang Jianping Xue Zhiguang Bu Changcheng Li Zhenchun Wang Changbo Gao Guochao Cao Xiaoli Li Guolei |
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| Institution: | 1.School of Geosciences，China University of Petroleum，Qingdao266580，Shandong, China;
2.Shengli Geophysical Research Institute, SINOPEC，Dongying257022, Shandong, China |
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| 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. |
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| Keywords: | least-squares migration split-step DSR conjugate gradient imaging resolution |
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