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【信息地学论坛第6期】—Mitigating non-convexity of full waveform inversionyabo体育app

来源:研管科编辑:陈慧楠阅读次数:713日期:2018-06-27

信息地学论坛第6邀请到新加坡国立大学 李云月 博士主讲,欢迎广大师生届时参加,具体信息和安排如下:

报告主题:Mitigating non-convexity of full waveform inversion

报告时间:629日(周五)上午10:30

主讲人:新加坡国立大学 李云月 博士

报告地点:创新中心5A503会议室

主讲内容:

Full waveform inversion (FWI) has been shown as a powerful tool to resolve high resolution representations of the subsurface by utilizing the full information contents in the observed seismic data. However, its success strongly depends on the accuracy of the initial solution, the availability of the low frequency data, and the inversion scheme, due to the well-recognized non-convexity of the nonlinear inverse problem. If not handled properly, FWI may suffer from severe convergence problem and may get stuck in erroneous local minima. In this talk, I present an overview of the research efforts in mitigating the non-convexity of FWI in the geophysical community and present our own efforts in the following three areas: 1) FWI with Gradient Sampling Algorithm to speed up the convergence; 2) FWI with extrapolated low frequency data reconstructed via signal processing in the data domain; 3) FWI with enhanced low frequency data reconstructed via signal processing in the image domain.

主讲简介:

Dr. Elita Li joined the Department of Civil and Environmental Engineering at the National University of Singapore as an assistant professor in 2016. Before coming to Singapore, Dr. Li did her postdoctoral research at Massachusetts Institute of Technology, holding a joint position in the Earth Resources Laboratory and the Department of Mathematics. Dr. Li received her Ph.D. and M.S. degrees in Geophysics from Stanford University in 2014 and 2010, respectively. She obtained her B.S. degree in Information and Computational Science from China University of Petroleum, Beijing in 2008. Her research interests include, but not limited to, seismic wave simulation, seismic inversion for structural imaging, subsurface characterization with deterministic and stochastic methods, data integration with multi-physical data, seismic monitoring for reservoir and civil purposes, and digital signal and image processing. Dr. Li’s paper on integrated VTI model building received “Honorable Mention” for Best Paper in Geophysics in 2016. Her presentations were ranked among “the Top Presentations at the SEG Annual Meeting” in 2016 and 2017. Dr. Li was the recipient of the J. Clarence Karcher Award from SEG in 2018.