Normalized shaping regularization for robust separation of blended data
文献类型：期刊论文
| 作者 | Zhao, Qiang4,5; Du, Qizhen4,5; Gong, Xufei4,5; Li, Xiangyang3; Fu, Liyun2,5; Chen, Yangkang1 |
| 刊名 | GEOPHYSICS
 |
| 出版日期 | 2019-09-01 |
| 卷号 | 84期号:5页码:V281-V293 |
| ISSN号 | 0016-8033 |
| DOI | 10.1190/GEO2018-0557.1 |
| 英文摘要 | Simultaneous source acquisition has attracted more and more attention from geophysicists because of its cost savings, whereas it also brings some challenges that have never been addressed before. Deblending of simultaneous source data is usually considered as an underdetermined inverse problem, which can be effectively solved with a least-squares (LS) iterative procedure between data consistency (l(2)-norm) and regularization (l(0)-norm or l(1)-norm). However, when it comes to abnormal noise that follows non-Gaussian distribution and possesses high-amplitude features (e.g., erratic noise, swell noise, and power line noise), the l(2)-norm is a nonrobust statistic that can easily lead to suboptimal deblended results. Although abnormal noise can be attenuated in the common source domain at first, it is still challenging to apply a coherency-based filter due to the sparse receiver or crossline sampling, e.g., that commonly found in ocean bottom node (OBN) acquisition. To address this problem, we have developed a normalized shaping regularization to make the inversion-based deblending approach robust for the separation of blended data when abnormal noise exists. Its robustness comes from the normalized shaping operator defined by the confidence interval of normal distribution, which minimizes the abnormal risk to a normal level to satisfy the assumption of LS shaping regularization. In special cases, the proposed approach will revert to the classic LS shaping regularization once the normalized coefficient is large enough. Experimental results on synthetic and field data indicate that the proposed method can effectively restore the separated records from blended data at essentially the same convergence rate as the LS shaping regularization for the abnormal noise-free scenario, but it can obtain better deblending performance and less energy leakage when abnormal noise exists. |
| WOS关键词 | ACQUISITION ; MIGRATION ; INVERSION |
| 资助项目 | National Key Research & Development Programs of China[2017YFB0202903] ; National Science Foundation of China[41574125] ; National Science Foundation of China[41774139] ; National Science & Technology Major Projects of China[2017ZX05018-005] ; China National "111" Foreign Experts Introduction Plan for Tight Oil & Gas Geology and Exploration |
| WOS研究方向 | Geochemistry & Geophysics |
| 语种 | 英语 |
| WOS记录号 | WOS:000490236900032 |
| 出版者 | SOC EXPLORATION GEOPHYSICISTS |
| 资助机构 | National Key Research & Development Programs of China ; National Key Research & Development Programs of China ; National Science Foundation of China ; National Science Foundation of China ; National Science & Technology Major Projects of China ; National Science & Technology Major Projects of China ; China National "111" Foreign Experts Introduction Plan for Tight Oil & Gas Geology and Exploration ; China National "111" Foreign Experts Introduction Plan for Tight Oil & Gas Geology and Exploration ; National Key Research & Development Programs of China ; National Key Research & Development Programs of China ; National Science Foundation of China ; National Science Foundation of China ; National Science & Technology Major Projects of China ; National Science & Technology Major Projects of China ; China National "111" Foreign Experts Introduction Plan for Tight Oil & Gas Geology and Exploration ; China National "111" Foreign Experts Introduction Plan for Tight Oil & Gas Geology and Exploration ; National Key Research & Development Programs of China ; National Key Research & Development Programs of China ; National Science Foundation of China ; National Science Foundation of China ; National Science & Technology Major Projects of China ; National Science & Technology Major Projects of China ; China National "111" Foreign Experts Introduction Plan for Tight Oil & Gas Geology and Exploration ; China National "111" Foreign Experts Introduction Plan for Tight Oil & Gas Geology and Exploration ; National Key Research & Development Programs of China ; National Key Research & Development Programs of China ; National Science Foundation of China ; National Science Foundation of China ; National Science & Technology Major Projects of China ; National Science & Technology Major Projects of China ; China National "111" Foreign Experts Introduction Plan for Tight Oil & Gas Geology and Exploration ; China National "111" Foreign Experts Introduction Plan for Tight Oil & Gas Geology and Exploration |
| 源URL | [http://ir.iggcas.ac.cn/handle/132A11/93880]  |
| 专题 | 中国科学院地质与地球物理研究所 |
| 通讯作者 | Gong, Xufei |
| 作者单位 | 1.Zhejiang Univ, Sch Earth Sci, Hangzhou, Zhejiang, Peoples R China 2.Chinese Acad Sci, Inst Geol & Geophys, Beijing 100029, Peoples R China 3.China Univ Petr, Beijing 102200, Peoples R China 4.Qingdao Natl Lab Marine Sci & Technol, Lab Marine Mineral Resources, Qingdao 266071, Shandong, Peoples R China 5.China Univ Petr East China, Key Lab Deep Oil & Gas, Changjiang West Rd 66th, Qingdao 266580, Shandong, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhao, Qiang,Du, Qizhen,Gong, Xufei,et al. Normalized shaping regularization for robust separation of blended data[J]. GEOPHYSICS,2019,84(5):V281-V293. |
| APA | Zhao, Qiang,Du, Qizhen,Gong, Xufei,Li, Xiangyang,Fu, Liyun,&Chen, Yangkang.(2019).Normalized shaping regularization for robust separation of blended data.GEOPHYSICS,84(5),V281-V293. |
| MLA | Zhao, Qiang,et al."Normalized shaping regularization for robust separation of blended data".GEOPHYSICS 84.5(2019):V281-V293. |
入库方式： OAI收割
来源：地质与地球物理研究所
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