Yanwen Wei

PhD candidate in
Department of Earth System Science
Tsinghua University

Email: weiyw16@mails.tsinghua.edu.cn
find more at Google Scholar or Blog

Open Data and Software

• Open VSP seismic data
• Deep learning-based P- and S-wave separation for VSP data
• Seismic tools by Python, Matlab and Shell

Education Background

Sep 2012 – June 2016
China University of Geosciences, B.S. in Geophysics

Sep 2016 – Ongoing
Tsinghua University, PhD candidate

Intern Experience

Jul 2017 – Nov 2019
National Supercomputer center in Wuxi, Research Engineer

Nov 2019 – Nov 2020
National University of Singapore, Research Engineer

Jan 2021 – Dec 2021
Alibaba Cloud, Algorithm & Testing Engineer

Research Interest

Machine Learning in Geophysics

Wave Separation, Inversion, DNN, GAN

• Deep learning-based P-and S-wave separation for multi-component Vertical Seismic Profiling. (Wei, Y. E. Li et al, 2021, IEEE Transactions on Geoscience and Remote Sensing)
• Building training data set for deep learning-based P-and S-wave separation: Field data case. (Wei, Y. E. Li et al, 2021, SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy)
• Multi-task learning based P/S wave separaon and reverse time migration for Vertical Seismic Profiling (VSP). (Wei, Y. E. Li, et al. 2020, SEG International Exposition and Annual Meeting)
  
• A new P-wave separation method for single or multi-component VSP data by applying Generative Adversarial Network. (Wei, Fu, et al. 2019, SEG International Exposition and Annual Meeting)
  
• Training an inverse operator by using Generative Adversarial Network to get the subsurface velocity model on Shingling Seismic data. (Wei, Sun, and Fu 2018, SEG workshop)
  

Full Waveform Inversion

Multi-scale, Source encoded, Random Space Shift, BP salt model

• A project on velocity model inversion by source-encoded Full Waveform Inversion on BP model, where multiscale strategy is used.
• We propose a Random Space Shift Full Waveform Inversion based on Gradient Sampling method. (Yang et al. 2018, SEG conference, Yang et al. 2019, The Leading Edge)

Seismic Wave Simulation

Large scale, Earthquake; Surface wave, Viscoelasic

• Surface wave simulation by applying free surface condition to finite difference numerical simulation method. (Bachelor’s degree thesis, 2016)
• Simulating large scale earthquake wave propagation on Supercomputer Sunway TaihuLight. (Chen et al. 2018, SC)