个人简历
严哲，教授，博士生导师。2004年本科毕业于中国地质大学（武汉），获理学学士学位，2010年业于中国地质大学（武汉），获工学博士学位。2014年至2015在美国加州大学圣克鲁斯分校（University of California, Santa Cruz）做访问学者。研究领域为油气地震勘探，研究方向包括信号分析与处理，地震资料解释新方法，地震角度域偏移成像及照明和人工智能技术在地震勘探中的应用。主持国家自然科学基金和横向科研项目十余项。
通讯地址：湖北省武汉市洪山区鲁磨路388号中国地质大学地空学院
电子邮箱：yanzhe@cug.edu.cn
【教学】
数字信号处理，资源地震勘探新方法技术
【科研项目】
1、 顺北气区储层地震波场特征与含油气性智能预测技术研究，中石化西北油田分公司，2023.12-2024.12
2、 顺北6井区奥陶系低序级断裂智能识别表征技术研究，中石化西北油田分公司，2022.12-2023.12
3、 顺北6井区奥陶系低序级断裂智能识别表征技术研究，中石化石油物探技术研究院，2022.10-2023.12
4、 自动拆分断层技术研究，中海油服务股份有限公司天津分公司，2019.06-2020.12
5、 基于地震属性的地震资料自动解释方法研究，国家自然科学基金面上项目，2016.01-2019.12
6、 基于蚂蚁追踪方法的断层自动追踪，中石油东方地球物理公司，2013.12-2014.12
7、 三维地震断层自动识别技术研究，国家自然科学基金青年项目，2012.01-2014.12
【主要论文】
1. Zhang, Z., Li, H., Yan, Z*., Jing, J., & Gu, H. (2024). Deep carbonate fault–karst reservoir characterization by multi‐task learning. Geophysical Prospecting, 72(3), 1092-1106.
2. Jing, J., Yan, Z*., Zhang, Z., Gu, H., & Han, B. (2023). Fault detection using a convolutional neural network trained with point-spread function-convolution-based samples. Geophysics, 88(1), IM1-IM14.
3. Zhang, Z., Yan, Z*., Jing, J., Gu, H., & Li, H. (2023). Generating Paired Seismic Training Data with Cycle-Consistent Adversarial Networks. Remote Sensing, 15(1), 265.
4. Luo, J., Yan, Z., Wu, R. S., Chen, G., & Huang, X. (2022). Angle domain illumination compensated full waveform inversion. IEEE Transactions on Geoscience and Remote Sensing, 60, 1-11.
5 . Yan, Z., Xiong, X., Liu, C., & Xu, J. (2022). Integrated analysis of the 2020 Mw 7.4 La Crucecita, Oaxaca, Mexico, earthquake from joint inversion of geodetic and seismic observations. Bulletin of the Seismological Society of America, 112(3), 1271-1283.
6. Yan, Z*., Zhang, Z., & Liu, S. (2021). Improving performance of seismic fault detection by fine-tuning the convolutional neural network pre-trained with synthetic samples. Energies, 14(12), 3650.
7. Liu, S., Yan, Z., Zhu, W., Han, B., Gu, H., & Hu, S. (2021). An illumination‐compensated Gaussian beam migration for enhancing subsalt imaging. Geophysical Prospecting, 69(7), 1433-1440.
8. Liu, S., Zhu, W., Yan, Z*., Xu, P., & Wang, H. (2021). An Effective Acoustic Impedance Imaging Based on a Broadband Gaussian Beam Migration. Energies, 14(14), 4105.
9. Yan, Z*., Yang, Y., & Liu, S. (2020). True amplitude angle gathers from reverse time migration by wavefield decomposition at excitation amplitude time. Energies, 13(23), 6204.
10. 张政, 严哲*, & 顾汉明. (2020). 基于残差网络与迁移学习的断层自动识别. 石油地球物理勘探, 55(5), 950-956.
11. Liu, S., Yan, Z., Gu, H., Tang, Y., & Liu, C. (2019). Imaging artefacts of artificial diving waves in reverse time migration: cause analysis in the angle domain and an effective removal strategy. Geophysical Prospecting, 67(3), 496-507.
12. Yan, Z*., Liu, S., & Gu, H. (2019). Fault image enhancement using a forward and backward diffusion method. Computers & Geosciences, 131, 1-14.
13. Liu, S., Gu, H., Han, B., Yan, Z., Liu, D., & Cai, J. (2018). Band-limited beam propagator and its application to seismic migration. Geophysics, 83(4), S311-S319.
14. Liu, S., Gu, H., Yan, Z., Li, H., & Wang, H. (2017). Q-compensated beam migration with multiscale Gabor transform. Journal of Applied Geophysics, 143, 195-202.
15. Yan, Z*., & Xie, X. B. (2016). Full-wave seismic illumination and resolution analyses: A Poynting-vector-based method. Geophysics, 81(6), S447-S458.
16. Yan, Z*., & Gu, H. (2013). Non-linear prestack seismic inversion with global optimization using an edge-preserving smoothing filter. Geophysical Prospecting, 61(4), 747-760.
17. Yan, Z*., Gu, H., & Cai, C. (2013). Automatic fault tracking based on ant colony algorithms. Computers & Geosciences, 51, 269-281.