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、多序级断控凝析气藏地质模型与开发对策研究，横向项目，216.3万，2025.09-2027.07

2、基于数据驱动的走滑断裂地震智能描述方法研究 ，国家自然科学基金面上项目，49万，2025.01-2028.12

3、碳酸盐岩断裂和缝洞体样本集建立及人工智能识别算法研究，横向项目，164.8万，2024.11-2025.09

      4、顺北地区断裂带间小尺度孔-洞-缝储层地震波场响应机理与地震识别模式，横向项目，82.4万，2024.12-2025.12

      5、TP7单元缝洞体结构深度学习预测技术研究，横向项目，82.4万，2024.12-2025.12

      6、 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，横向项目，82.4万，2023.12-2024.12

7、 顺北6井区奥陶系低序级断裂智能识别表征技术研究，横向项目，82.4万，2022.12-2023.12

8、 基于PSF建模的三维地震断层智能识别方法技术，横向项目，109万，2022.10-2023.12

9、 自动拆分断层技术研究，横向项目，31.5万，2019.06-2020.12

10、 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，65万，2016.01-2019.12

11、 基于蚂蚁追踪方法的断层自动追踪，横向项目，80万，2013.12-2014.12

12、 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，25万，2012.01-2014.12

【主要论文】

 Zhang, Z., Yan, Z*., Li, H., Jing, J., Yan, H., & Gu, H. (2025). 3-D Seismic Fault Detection Using Fault Orthogonal Annotation and Barely Supervised Learning. IEEE Transactions on Geoscience and Remote Sensing, 63, 1-11.

Han, B., Jing, J., Mao, W., Yan, Z., Liu, S., & Chen, G. (2025). Suppressing Ghost Artifacts in Pre-Stack Angle Gathers Using a Pre-Established U-Net Trained With Local Stacked Depth Images. IEEE Transactions on Geoscience and Remote Sensing, 64, 1-12.

Yan, H., Yan, Z., Jing, J., Zhang, Z., Li, H., Gu, H., & Liu, S. (2024). Enhancing the seismic response of faults by using a deep learning‐based method. Geophysical Prospecting, 72(7), 2615-2633

Han, B., Jing, J., Yan, Z*., Mao, W., & Gu, H. (2024). Deghosting in depth image domain using a PSF-trained U-Net. IEEE Transactions on Geoscience and Remote Sensing, 62, 1-13.

Jing, J., Yan, Z*., Gong, W., Li, H., Zhang, Z., & Gu, H. (2024). Synthesizing a realistic seismic training data set incorporating prior geologic patterns and seismic imaging features for supervised convolutional neural network-based intracratonic strike-slip fault detection. Geophysics, 89(5), IM41-IM60

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Yan, Z*., Liu, S., & Gu, H. (2019). Fault image enhancement using a forward and backward diffusion method. Computers & Geosciences, 131, 1-14.

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.

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.

Yan, Z*., & Xie, X. B. (2016). Full-wave seismic illumination and resolution analyses: A Poynting-vector-based method. Geophysics, 81(6), S447-S458.

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.

Yan, Z*., Gu, H., & Cai, C. (2013). Automatic fault tracking based on ant colony algorithms. Computers & Geosciences, 51, 269-281.