PP and PS joint inversion with a posterior constraint and with particle filtering
文献类型:期刊论文
作者 | Tang, Jing1,2,3; Wang, Yanfei1,2 |
刊名 | JOURNAL OF GEOPHYSICS AND ENGINEERING
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出版日期 | 2017-12-01 |
卷号 | 14期号:6页码:1399-1412 |
关键词 | joint inversion regularization particle filtering |
ISSN号 | 1742-2132 |
DOI | 10.1088/1742-2140/aa7bd4 |
文献子类 | Article |
英文摘要 | The Bayesian framework works well in amplitude versus offset (AVO) inversion, which merges multi-information together to generate posterior distributions of P-wave velocity, S-wave velocity and density. Most existing AVO inversion methods utilize PP reflection seismic data to predict the three elastic parameters. These methods are not usually sensitive to S-wave velocity and density, which make the inversion methods inaccurate and unstable. One way of solving these problems is to perform PP and PS joint inversion by incorporating PS seismic data. Another way is to provide a relatively accurate prior model. In this paper, we apply a particle filtering technique to produce a prior model for the PP and PS joint inversion. In the Bayesian inversion setting, the prior model works as the regularization term. Particle filtering is a Bayesian recursive method that combines prior information with observed data to provide a posterior constraint to reduce the joint inversion's uncertainty. We generate synthetic models with different signal-to-noise ratios to validate our new method. Comparisons are provided with the traditional joint inversion, which adopts the Gaussian prior model. The inversion results show that the three elastic parameters are retrieved well when the signal-to-noise ratios are high. As the signal-to-noise ratio reduces, our new method can depict more detailed changes than the traditional inversion method, and improves the inversion accuracy apparent in the target layers. |
WOS关键词 | AVO INVERSION ; REFLECTION COEFFICIENTS ; ZOEPPRITZ EQUATIONS ; GAS ; MODEL |
WOS研究方向 | Geochemistry & Geophysics |
语种 | 英语 |
WOS记录号 | WOS:000413533500003 |
出版者 | IOP PUBLISHING LTD |
资助机构 | National Natural Science Foundation of China(91630202 ; Chinese Academy of Science(XDB10020100) ; 41325016) ; National Natural Science Foundation of China(91630202 ; Chinese Academy of Science(XDB10020100) ; 41325016) ; National Natural Science Foundation of China(91630202 ; Chinese Academy of Science(XDB10020100) ; 41325016) ; National Natural Science Foundation of China(91630202 ; Chinese Academy of Science(XDB10020100) ; 41325016) |
源URL | [http://ir.iggcas.ac.cn/handle/132A11/62002] ![]() |
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 | Wang, Yanfei |
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 3.Southwest Petr Univ, Chengdu 610500, Sichuan, Peoples R China |
推荐引用方式 GB/T 7714 | Tang, Jing,Wang, Yanfei. PP and PS joint inversion with a posterior constraint and with particle filtering[J]. JOURNAL OF GEOPHYSICS AND ENGINEERING,2017,14(6):1399-1412. |
APA | Tang, Jing,&Wang, Yanfei.(2017).PP and PS joint inversion with a posterior constraint and with particle filtering.JOURNAL OF GEOPHYSICS AND ENGINEERING,14(6),1399-1412. |
MLA | Tang, Jing,et al."PP and PS joint inversion with a posterior constraint and with particle filtering".JOURNAL OF GEOPHYSICS AND ENGINEERING 14.6(2017):1399-1412. |
入库方式: OAI收割
来源:地质与地球物理研究所
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