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DOI | 10.2172/1168704 |
报告编号 | LA-UR-15-20434 |
来源ID | OSTI ID: 1168704 |
Elastic-Waveform Inversion with Compressive Sensing for Sparse Seismic Data | |
Lin, Youzuo; Huang, Lianjie | |
2015-01-26 | |
出版年 | 2015 |
语种 | 英语 |
国家 | 美国 |
领域 | 地球科学 |
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. |
英文关键词 | Planetary Sciences |
URL | 查看原文 |
来源平台 | US Department of Energy (DOE) |
引用统计 | |
文献类型 | 科技报告 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/6871 |
专题 | 地球科学 |
推荐引用方式 GB/T 7714 | Lin, Youzuo,Huang, Lianjie. Elastic-Waveform Inversion with Compressive Sensing for Sparse Seismic Data,2015. |
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