| 多尺度快速匹配追踪多域联合地震反演方法 |
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| 引用本文： | 印兴耀, 裴松, 李坤, 林海鲲. 2020. 多尺度快速匹配追踪多域联合地震反演方法. 地球物理学报, 63(9): 3431-3441, doi: 10.6038/cjg2020N0040 |
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| 作者姓名： | 印兴耀 裴松 李坤 林海鲲 |
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| 作者单位： | 中国石油大学(华东)地球科学与技术学院, 海洋国家实验室海洋矿产资源评价与探测技术功能实验室, 青岛 266580 |
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| 基金项目： | 国家自然科学基金（U1562215，41604101），国家科技重大专项课题（2016ZX05024-004，2017ZX05009-001，2017ZX05036-005，2017ZX05032-003），中国石油大学（华东）研究生创新工程资助项目（YCX2017005）和中石化地球物理重点实验室开放基金（wtyjy-wx2017-01-07）联合资助 |
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| 摘 要： | 多尺度快速匹配追踪多域联合地震反演是一种通过地震数据多尺度分解的迭代反演方法.与此同时，在快速匹配追踪算法中引入低频模型约束，有效提高了收敛精度，使反演结果具有丰富的高低频信息.首先通过对大尺度地震资料进行反演得到低频背景.在此基础上，采用中尺度与小尺度地震数据进行逐级迭代用以获得高频数据，因而有效缓解了常规反演方法对于初始模型精度的依赖.最后利用理论模型与实际地震数据进行测试，通过与常规时间域反演方法的反演结果进行对比可以看出，本文方法在地层连续变化处依然可以对变化地层进行精确刻画，且在纵向分辨率提升的同时保持了较好的横向连续性.
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| 关 键 词： | 多尺度 快速匹配追踪 多域 分辨率 初始模型 |
| 收稿时间： | 2019-04-24 |
| 修稿时间： | 2019-09-13 |
Seismic inversion in joint domain based on multi-scale fast matching pursuit |
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| YIN XingYao, PEI Song, LI Kun, LIN HaiKun. 2020. Seismic inversion in joint domain based on multi-scale fast matching pursuit. Chinese Journal of Geophysics (in Chinese), 63(9): 3431-3441, doi: 10.6038/cjg2020N0040 |
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| Authors: | YIN XingYao PEI Song LI Kun LIN HaiKun |
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| Affiliation: | School of Geosciences, China University of Petroleum, Laboratory for Marine Mineral Resources, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266580, China |
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| Abstract: | Seismic inversion in joint domain based on multi-scale fast matching pursuit is an iterative cascade inversion approach via multi-scale decomposition of seismic data. At the same time, the low-frequency model constraint is introduced into the fast matching pursuit algorithm, which can improve the convergence accuracy effectively and make the inversion results with rich high-low-frequency information. At first, the low frequency background of subsurface media is obtained by large-scale seismic inversion. On this basis, the high frequency information of subsurface media is enhanced by intermediate and small-scale seismic inversion. Thus, the dependence of initial model accuracy can be relieved effectively by the proposed iterative inversion strategy. Finally, the 1-D model and the field data are processed by proposed method. The proposed method has much higher vertical resolution and better lateral continuity than conventional time-domain seismic inversion method. And the stratigraphic changes can still be well depicted at successive strata changes. |
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| Keywords: | Multi-scale Fast matching pursuit Joint domain Resolution Initial-model |
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