Mengyao Sun

Mengyao Sun｜孙梦瑶

Postdoc in
Department of Earth System Science
Tsinghua University

Email: mengyao12@tsinghua.edu.cn
Address: Room S814, Mengminwei Building, Tsinghua University, Beijing, China

Education Background

June 2018 – Ongoing
Tsinghua University, PostDoc candidate

Sep 2012 – Apr 2018
University of Science and Technology of China, Ph.D in Solid Geophysics

Sep 2016 – Sep 2017
Visiting Ph.D. in Geophysics, University of Alberta, Canada

Sep 2008 – June 2012
Jilin University, B.S. of Exploration Technology and Engineering

Work Experience

Jul 2018 – present
Postdoctoral Researcher, Department of Earth System Science, Tsinghua University

May 2018 – present
Research Engineer, National Supercomputer center in Wuxi

Research Interest

Artificial Intelligence in Geophysics

Trying to solve the data processing problems in geophysics by AI. Such as deleting the bad data, picking up special data that we are interested.

Trying to predict future variation by Conv-LSTM

Seismic Monitoring of Shale Gas and Geothermal Mining

Earthquake location, near-surface tomography.
Daily crustal velocity changes derived by ambient noise

Daily surface displacement obtained by GNSS

Joint analysis with different result derived from different observations, including seismic data, GNSS data, geochemical data, etc.

Ground Motion Analysis

Create GMPE for a target area.

Research and Publications

Project

结题项目:

中国博士后基金第64批面上项目（2018M641324)：基于swCaffe框架的超大地震数据编辑及地震动分析（主持）

中国石油集团科学技术研究院有限公司（RIPED.CN-2020-JS-38）：近地表层析算法测试优化（主持）

在研项目:
国家自然科学基金青年基金（42004100）：复杂近地表地震数据——“圣诞树”型数据的产生机理和处理方法的研究（主持）

Publications

17. Zhu H., Sun M., Zhang J. 2021. Seismic Velocity Variations over Four Years (2013–2016) along the Longmenshan Faults in Sichuan, China. Bulletin of the Seismological Society of America. https://doi.org/10.1785/0120210183

16. Wei Y., Li E. Y.*, Zong J., Yang J., Fu, H., Sun M. 2021. Deep learning-based P-and S-wave separation for multi-component Vertical Seismic Profiling. IEEE Transactions on geoscience and remote sensing. http://doi.org/10.1109/TGRS.2021.3124413

15. Zhu, H., Sun, M.*, Fu, H., Du, N. and Zhang, J. 2020. Training a seismogram Discriminator based on ResNet. IEEE Transactions on geoscience and remote sensing. https://doi.org/10.1109/TGRS.2020.3030324
14. Sun, M., and Zhang, J.* 2020. The near-surface velocity reversal and its detection via unsupervised machine learning. Geophysics 85 (3), U55-U63. https://doi.org/10.1190/geo2019-0025.1
13. Sun, M.*, Zhu, H., Zhang, J. Fu, H. and Tian, X. 2019. Ground motion from Mw 1.5 to 3.9 aftershocks of the 2014 Mw 6.2 Jinggu Earthquake at hypocentral distances < 45 km in Yunnan, China. Seismological Research Letters, 90(5), 1876-1888. https://doi.org/10.1785/0220190127
12. Sun, M.*, Zhu, H., Zhang, J. Fu, H. and Tian, X. 2019. Ground motion from small aftershocks of the 2014 Mw 6.2 Jinggu Earthquake at short hypocentral distances in Yunnan, China. In SEG Technical Program Expanded Abstracts 2019 (pp. 3131-3135). Society of Exploration Geophysicists. https://doi.org/10.1190/segam2019-3215453.1
11. Sun, M., Wang, Y. and Zhang, J.*, 2018. Recognizing shingling seismic data by unsupervised machine learning. In SEG Technical Program Expanded Abstracts 2018 (pp. 2561-2565). Society of Exploration Geophysicists. https://library.seg.org/doi/abs/10.1190/segam2018-2995824.1
10. Bi, Z., Zhang, J.* and Sun, M., 2018. The first-arrival traveltime tomography with simultaneous sources. SEG Technical Program Expanded Abstracts 2018. (pp. 2727-2731). Society of Exploration Geophysicists. https://library.seg.org/doi/abs/10.1190/segam2018-2998314.1
9. Xue, Z., Zhang, J.* and Sun, M. 2018. Long-wavelength statics solutions for the near surface with velocity reversal. SEG Technical Program Expanded Abstracts 2018. (pp. 2722-2726). Society of Exploration Geophysicists. https://library.seg.org/doi/abs/10.1190/segam2018-2997700.1
8. Shen, Y., Sun, M., Zhang, J.*, Liu, S., Chen Z. and Li, W. 2018. Seismic trace editing by applying machine learning. In SEG Technical Program Expanded Abstracts 2018 (2256-2260). Society of Exploration Geophysicists. https://library.seg.org/doi/abs/10.1190/segam2018-2998291.1
7. Sun, M., Sacchi, M. and Zhang, J.*, 2018. An efficient tomographic inversion method based on the stochastic approximation. Geophysics, 83(4), R283-R296. https://doi.org/10.1190/geo2017-0275.1.
6. Sun, M., Zhang, J.* and Zhang, W., 2017. Alternating first-arrival traveltime tomography and waveform inversion for near-surface imaging. Geophysics, 82(4), pp. R245-R257.https://doi.org/10.1190/geo2016-0576.1
5. Sun, M. and Zhang, J.*, 2016. Edge-preserving traveltime tomography with a sparse multiscale imaging constraint. Journal of Applied Geophysics, 131, pp.179-190. http://doi.org/10.1016/j.jappgeo.2016.06.006
4. Sun, M., Sacchi, M. and Zhang, J.*, 2017. Highly efficient 3D first-arrival traveltime tomography by stochastic approximation. In SEG Technical Program Expanded Abstracts 2017 (pp. 2676-2680). Society of Exploration Geophysicists. https://doi.org/10.1190/segam2017-17739365.1
3. Sun, M., Zhang, J.* and Zhang, W., 2017. Alternating traveltime tomography and waveform inversion for near-surface imaging. In SEG Technical Program Expanded Abstracts 2017 (pp. 2596-2600). Society of Exploration Geophysicists. https://doi.org/10.1190/segam2017-17662926.1
2. Sun, M., Zhang, J.* and Zhang, W., 2016. Improving efficiency of traveltime tomography by stochastic optimization. In SEG Technical Program Expanded Abstracts 2016 (pp. 2377-2381). Society of Exploration Geophysicists. https://doi.org/10.1190/segam2016-13950132.1
1. Sun, M. and Zhang, J.*, 2013. Understanding of the first arrivals in the shape of a Christmas tree. In SEG Technical Program Expanded Abstracts 2013 (pp. 1843-1846). Society of Exploration Geophysicists. https://doi.org/10.1190/segam2013-1253.1

Awards

Scholarship, Outstanding Graduate of University of Science and Technology of China, 2018
Award, SEG-FWI Beijing Workshop Best Report Award, 2017