l(1)-Regularized full-waveform inversion with prior model information based on orthant-wise limited memory quasi-Newton method
文献类型：期刊论文
| 作者 | Dai, Meng-Xue1,2; Chen, Jing-Bo1; Cao, Jian1,2 |
| 刊名 | JOURNAL OF APPLIED GEOPHYSICS
 |
| 出版日期 | 2017-07-01 |
| 卷号 | 142页码:49-57 |
| 关键词 | Full waveform inversion Orthant-wise Quasi-Newton Prior model information |
| ISSN号 | 0926-9851 |
| DOI | 10.1016/jjappgeo.2017.03.020 |
| 文献子类 | Article |
| 英文摘要 | Full-waveform inversion (FWI) is an ill-posed optimization problem which is sensitive to noise and initial model. To alleviate the ill-posedness of the problem, regularization techniques are usually adopted. The l(1)-norm penalty is a robust regularization method that preserves contrasts and edges. The Orthant-Wise Limited-Memory Quasi-Newton (OWL-QN) method extends the widely-used limited-memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS) method to the l(1)-regularized optimization problems and inherits the efficiency of L-BFGS. To take advantage of the l(1)-regularized method and the prior model information obtained from sonic logs and geological information, we implement OWL-QN algorithm in l(1)-regularized FWI with prior model information in this paper. Numerical experiments show that this method not only improve the inversion results but also has a strong anti-noise ability. (C) 2017 Elsevier B.V. All rights reserved. |
| WOS关键词 | GAUSS-NEWTON ; DOMAIN ; OPTIMIZATION |
| WOS研究方向 | Geology ; Mining & Mineral Processing |
| 语种 | 英语 |
| WOS记录号 | WOS:000404504100005 |
| 出版者 | ELSEVIER SCIENCE BV |
| 资助机构 | National Natural Science Foundation of China(41474104 ; 41674132) ; National Natural Science Foundation of China(41474104 ; 41674132) ; National Natural Science Foundation of China(41474104 ; 41674132) ; National Natural Science Foundation of China(41474104 ; 41674132) |
| 源URL | [http://ir.iggcas.ac.cn/handle/132A11/50671]  |
| 专题 | 地质与地球物理研究所_中国科学院油气资源研究重点实验室 |
| 通讯作者 | Dai, Meng-Xue |
| 作者单位 | 1.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Petr Resources Res, Beijing 100029, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Dai, Meng-Xue,Chen, Jing-Bo,Cao, Jian. l(1)-Regularized full-waveform inversion with prior model information based on orthant-wise limited memory quasi-Newton method[J]. JOURNAL OF APPLIED GEOPHYSICS,2017,142:49-57. |
| APA | Dai, Meng-Xue,Chen, Jing-Bo,&Cao, Jian.(2017).l(1)-Regularized full-waveform inversion with prior model information based on orthant-wise limited memory quasi-Newton method.JOURNAL OF APPLIED GEOPHYSICS,142,49-57. |
| MLA | Dai, Meng-Xue,et al."l(1)-Regularized full-waveform inversion with prior model information based on orthant-wise limited memory quasi-Newton method".JOURNAL OF APPLIED GEOPHYSICS 142(2017):49-57. |
入库方式： OAI收割
来源：地质与地球物理研究所
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