| DOI: | 10.2172/1168704
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| 报告号: | LA-UR-15-20434
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| 报告题名: | Elastic-Waveform Inversion with Compressive Sensing for Sparse Seismic Data |
| 作者: | Lin, Youzuo; Huang, Lianjie
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| 出版年: | 2015
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| 发表日期: | 2015-01-26
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| 国家: | 美国
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| 语种: | 英语
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| 英文关键词: | Planetary Sciences
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| 中文主题词: | 速度
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| 主题词: | VELOCITY
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| 英文摘要: | Accurate velocity models of compressional- and shear-waves are essential for geothermal reservoir characterization and microseismic imaging. Elastic-waveform inversion of multi-component seismic data can provide high-resolution inversion results of subsurface geophysical properties. However, the method requires seismic data acquired using dense source and receiver arrays. In practice, seismic sources and/or geophones are often sparsely distributed on the surface and/or in a borehole, such as 3D vertical seismic profiling (VSP) surveys. We develop a novel elastic-waveform inversion method with compressive sensing for inversion of sparse seismic data. We employ an alternating-minimization algorithm to solve the optimization problem of our new waveform inversion method. We validate our new method using synthetic VSP data for a geophysical model built using geologic features found at the Raft River enhanced-geothermal-system (EGS) field. We apply our method to synthetic VSP data with a sparse source array and compare the results with those obtained with a dense source array. Our numerical results demonstrate that the velocity mode ls produced with our new method using a sparse source array are almost as accurate as those obtained using a dense source array. |
| URL: | http://www.osti.gov/scitech/servlets/purl/1168704
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| Citation statistics: |
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| 资源类型: | 研究报告
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/41981
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| Appears in Collections: | 过去全球变化的重建
影响、适应和脆弱性
科学计划与规划
气候变化与战略
全球变化的国际研究计划
气候减缓与适应
气候变化事实与影响
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| 1168704.pdf（1498KB） | 研究报告 | -- | 开放获取 | | View
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| Recommended Citation: | |
Lin, Youzuo,Huang, Lianjie. Elastic-Waveform Inversion with Compressive Sensing for Sparse Seismic Data. 2015-01-01.
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