Personal data

Name: Xintao Chai

Present Position: Associate professor, China University of Geosciences (Wuhan), Faculty of School of Geophysics and Geomatics (SGG), Department of Applied Geophysics, the Director of the Center for Seismic Data Processing and Imaging (CSDπ), The Home of SeisPro

E-mail: xtchai@126.com

(Date of birth: December 7, 1987; Citizenship: Chinese)

Address: No. 388 Lumo Road,Wuhan, P.R. China

ORCID: http://orcid.org/0000-0002-1362-4491

Office: SGG-413

Research interests

Artificial intelligence, machine learning, deep learning, and their applications in Geophysics;

Wave theory, signal processing, scientific computing, inverse problems, seismic data processing, seismic modeling, imaging, and inversion.

Education

l  20120901-20160630, Ph.D., China University of Petroleum (Beijing), Geophysics, Advisor: Prof. Shangxu Wang

l  20090901-20120630, M.S., China University of Petroleum (EastChina), Geophysics, Advisor: Prof. Zhenchun Li

l  20050901-20090630, B.S., China University of Petroleum (EastChina), Mathematics

Professional experience 

20150225-20160228, University of British Columbia, Visiting Ph.D. Student, Geophysics, adviser: Prof. Felix J. Herrmann.

Professional memberships

l  Society of Exploration Geophysics (SEG)

Selected peer-reviewed journal papers

1.      XintaoChai, ZhiyuanGu, HangLong, ShaoyongLiu, TaihuiYang, LeiWang, FenglinZhan, XiaodongSun, and WenjunCao, (2024), "Modeling multisource multifrequency acoustic wavefields by a multiscale Fourier feature physics-informed neural network with adaptive activation functions," GEOPHYSICS 0: 1-97. https://doi.org/10.1190/geo2023-0394.1

2.      Xintao Chai, Zhiyuan Gu, Hang Long, Shaoyong Liu, Wenjun Cao, Xiaodong Sun; Practical Aspects of Physics‐Informed Neural Networks Applied to Solve Frequency‐Domain Acoustic Wave Forward Problem. Seismological Research Letters 2024; doi: https://doi.org/10.1785/0220230297

3.      Gu, Zhiyuan, Xintao Chai*, and Taihui Yang. 2023. "Deep-Learning-Based Low-Frequency Reconstruction in Full-Waveform Inversion" Remote Sensing 15, no. 5: 1387. https://doi.org/10.3390/rs15051387

4.      Xintao Chai, Taihui Yang, Hanming Gu, Genyang Tang, Wenjun Cao, Yufeng Wang, Geophysics-steered self-supervised learning for deconvolution, Geophysical Journal International, Volume 234, Issue 1, July 2023, Pages 40–55, https://doi.org/10.1093/gji/ggad015

5.      X. Chai et al., "An Open-Source Package for Deep-Learning-Based Seismic Facies Classification: Benchmarking Experiments on the SEG 2020 Open Data," in IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-19, 2022, Art no. 4507719, doi: 10.1109/TGRS.2022.3144666. Permalink: https://ieeexplore.ieee.org/document/9686703

6.      Xintao Chai, Genyang Tang, Kai Lin, Zhe Yan, Hanming Gu, Ronghua Peng, Xiaodong Sun, and Wenjun Cao, (2021), "Deep learning for multitrace sparse-spike deconvolution," GEOPHYSICS 86: V207-V218. Permalink: https://doi.org/10.1190/geo2020-0342.1

7.      X. Chai, G. Tang, S. Wang, K. Lin and R. Peng, "Deep Learning for Irregularly and Regularly Missing 3-D Data Reconstruction," in IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 7, pp. 6244-6265, July 2021, doi: 10.1109/TGRS.2020.3016343. Permalink: https://ieeexplore.ieee.org/document/9174797

8.      Xintao Chai, Hanming Gu, Feng Li, Hongyou Duan, Xiaobo Hu, and Kai Lin (2020). ”Deep learning for irregularly and regularly missing data reconstruction.” Scientific Reports, 10, 1-18, doi: 10.1038/s41598-020-59801-x. Permalink: https://doi.org/10.1038/s41598-020-59801-x

9.      X. Chai, G. Tang, S. Wang, R. Peng, W. Chen and J. Li, "Deep Learning for Regularly Missing Data Reconstruction," in IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no. 6, pp. 4406-4423, June 2020, doi: 10.1109/TGRS.2020.2963928. Permalink: https://doi.org/10.1109/TGRS.2020.2963928

10.   Xintao Chai, Ronghua Peng, Genyang Tang, Wei Chen, and Jingnan Li (2019). ” Some remarks on Q-compensated sparse deconvolution without knowing the quality factor Q.” Geophysical Prospecting, 67(8), 2003-2021, doi: 10.1111/1365-2478.12838. Permalink: https://doi.org/10.1111/1365-2478.12838

11.   Xintao Chai, Genyang Tang, Fangfang Wang, Hanming Gu, and Xinqiang Wang (2018). ”Q-compensated acoustic impedance inversion of attenuated seismic data: Numerical and field-data experiments.” Geophysics, 83(6), R553-R567, doi: 10.1190/geo2017-0499.1. Permalink: https://doi.org/10.1190/geo2017-0499.1

12.   Xintao Chai, Genyang Tang, Ronghua Peng, Shaoyong Liu, 2018, The linearized Bregman method for frugal full-waveform inversion with compressive sensing and sparsity-promoting, Pure and Applied Geophysics, 175(3), 1085-1101, doi: 10.1007/s00024-017-1734-4. Permalink: https://doi.org/10.1007/s00024-017-1734-4

13.   Xintao Chai, Shangxu Wang, Genyang Tang, Xiangcui Meng, 2017, Stable and efficient Q-compensated least-squares migration with compressive sensing, sparsity-promoting, and preconditioning, Journal of Applied Geophysics, 145, 84–99, doi: 10.1016/j.jappgeo.2017.07.015. Permalink: https://doi.org/10.1016/j.jappgeo.2017.07.015

14.   Xintao Chai, Shangxu Wang, Genyang Tang, 2017, Sparse reflectivity inversion for non-stationary seismic data with surface-related multiples: Numerical and field-data experiments, Geophysics, 82(3), R199-R217, doi: 10.1190/geo2016-0520.1. Permalink: https://doi.org/10.1190/geo2016-0520.1

15.   Xintao Chai, Shangxu Wang, Jianxin Wei, Jingnan Li, Hanjun Yin, 2016, Reflectivity inversion for attenuated seismic data: Physical modeling and field data experiments, Geophysics, 81(1), T11-T24, doi: 10.1190/geo2015-0250.1. Permalink: https://doi.org/10.1190/geo2015-0250.1

16.   Xintao Chai, Shangxu Wang, Sanyi Yuan, Jianguo Zhao, Langqiu Sun, Xian Wei, 2014, Sparse reflectivity inversion for nonstationary seismic data, Geophysics, 79(3), V93-V105, doi: 10.1190/geo2013-0313.1. Permalink: https://doi.org/10.1190/geo2013-0313.1

Funding grant

l  National Natural Science Foundation of China, grant no. 42374141, 20230101-20271231

l  National Natural Science Foundation of China, grant no. 41704129, 20180101-20201231

Advising

l  Adviser to Junyong Yu (2019), M.S. student.

l  Adviser to Wenhui Nie (2020), M.S. student.

l  Adviser to Taihui Yang (2020), M.S. student.

l  Adviser to Hang Long (2023), M.S. student.

Teaching experience

l  “Machine learning”, undergraduate level, 3.0 credits, 2021-present.

l  “Python programming language”, undergraduate level, 1.0 credits, 2021-present.

l  “Python with artificial intelligence, deep learning”, undergraduate level, 1.5 credits, 2019-2020.

l  “Computational geophysics”, undergraduate level, 2017-2020.

l  “MATLAB programming language”, undergraduate level, 2018-2020.

Editorial service

l  2024-present, Reviewer, Surveys in Geophysics

l  2021-present, Reviewer, IEEE Transactions on Geoscience and Remote Sensing

l  2017-present, Reviewer, Geophysics

l  2022-present, Reviewer, Journal of Petroleum Science and Engineering

l  2019-present, Reviewer, IEEE Geoscience and Remote Sensing Letters

l  2020-present, Reviewer, Geophysical Prospecting

l  2022-present, Reviewer, Natural Resources Research

l  2022-present, Reviewer, Geoscience Letters

l  2020-present, Reviewer, Journal of Applied Geophysics

l  2017-present, Reviewer, Journal of Geophysics and Engineering

l  2020-present, Reviewer, Exploration Geophysics

l  2022-present, Reviewer, Chinese Journal of Geophysics

l  2017-present, Reviewer, Petroleum Science Bulletin

l  2023-present, Reviewer, Journal of China University of Petroleum (Edition of Natural science)

l  2023-present, Reviewer, Bulletin of Geological Science and Technology

Authorized patents as the first inventor

1.      Patent no. ZL 2017 1 0994606.5, Authorization no. CN 107894612 B, 20190531, in Chinese.

2.      Patent no. ZL 2017 1 0525466.7, Authorization no. CN 107367760 B, 20190402, in Chinese.

3.      Patent no. ZL 2017 1 0524014.7, Authorization no. CN 107390261 B, 20190212, in Chinese.