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汪宇锋

90 

特任副研究员、地大学者青年优秀人才、硕士生导师
地球物理与空间信息学院, 中国地质大学(武汉)

湖北省武汉市洪山区鲁磨路388号, 邮编: 430074
Phone: (+86) 132 6129 5865
Email: wangyufeng@cug.edu.cn

Website CV GitHub ResearchGate GoogleScholar

教育背景

研究兴趣

  • 复杂介质波动理论

  • 地球物理反演和成像

  • 地震信号处理

  • 高性能并行计算

  • 深度学习

近期研究

  • 衰减介质中的速度和Q全波形反演: 多参数串扰分析和压制.

  • 衰减介质中的本构关系反演: 神经网络和基函数近似.

  • 动态地震反演: 多物理和多尺度耦合.

荣誉奖项

  • 2018 博士研究生国家奖学金，中华人民共和国教育部

  • 2018 Outstanding Contribution in Reviewing, 《Journal of Applied Geophysics》

  • 2018 《Geophysics》亮点论文(Bright Spots Paper),《Geophysics》编辑部

  • 2012 全国大学生数学建模国家二等奖，中国工业与应用数学学会

发表论文

  1. Zhao, X., Zhou, H., Chen, H., & Wang, Y. (2020). Domain Decomposition for Large-Scale Viscoacoustic Wave Simulation Using Localized Pseudo-Spectral Method. IEEE Transactions on Geoscience and Remote Sensing.

  2. Wang, Y., Zhou, H., Zhao, X., & Chen, Y. (2019). Q-compensated viscoelastic reverse time migration using mode-dependent adaptive stabilization scheme. Geophysics, 84(4), S301-S315. [pdf] [cite]

  3. Wang, Y., Zhou, H., Zhao, X., & Chen, Y. (2019). CuQ-RTM: ACUDA-based code package for stable and efficient Q-compensated RTM. Geophysics, 84(1), F1-F15. [pdf] [cite] [code] [Madagascar]

  4. Chen, Y., Chen, W., Wang, Y., & Bai, M. (2019). Least-squares decomposition with time-space constraint for denoising microseismic data. Geophysical Journal International, 218(3), 1702- 1718.

  5. Chen, Y., Bai, M., Zhou, Y., Zhang, Q., Wang, Y., & Chen, H. (2019). Substituting smoothing with lowrank decomposition - applications to least-squares reverse time migration of simultaneous source and incomplete seismic data. Geophysics, 84(4), S267-S283.

  6. Wang, L., Zhou, H., & Wang, Y. (2019). Three parameters prestack seismic inversion based on \(L_{1−2}\) minimization. Geophysics, 84(5), R753-R766. [pdf] [cite]

  7. Wang, N., Zhou, H., Chen, H., Wang, Y., & Fang, J. (2019). An optimized parallelized high-order SGFD modeling package for 3D seismic wave propagation. Computers & Geosciences, 131, 102-111. [pdf] [cite] [code]

  8. Chen, Y., Chen, X. Wang, Y., & Zu, S. (2019). Deblending of simultaneous-source data using a structure-oriented space-varying median filter. Geophysical Journal International, 216(2), 1214-1232. [Madagascar]

  9. Chen, Y., Chen, X., Wang, Y., & Zu, S. (2019). The interpolation of sparse geophysical data. Surveys in Geophysics, 40(1), 73-105.

  10. Fang, J., Zhou, H., Chen, H., Wang, N., Wang, Y., Sun, P., & Zhang, J. (2019). Source-independent elastic least-squares reverse time migration. Geophysics, 84(1), S1-S16.

  11. Wang, L., Zhou, H., Wang, Y., Yu, B., & Fnag,J. (2019). Adaptive Seismic Deconvolution via Convolutional Sparse Coding Model. IEEE Geoscience and Remote Sensing Letters, 17(8), 1415 - 1419.

  12. Wang, Y., Ma, X., Zhou, H., & Chen, Y. (2018). \(L_{1−2}\) minimization for exact and stable seismic attenuation compensation. Geophysical Journal International, 213(3), 1629-1646. [pdf] [cite]

  13. Wang, Y., Zhou, H., Chen, H., & Chen, Y. (2018). Adaptive stabilization for Q-compensated reverse time migration. Geophysics, 83(1), S15-S32. [pdf] [cite] [Bright Spots Paper]

  14. Zhao, X., Zhou, H., Wang, Y., Chen, H., Zhou, Z., Sun, P., & Zhang, J. (2018). A stable approach for Q-compensated viscoelastic reverse time migration using excitation amplitude imaging condition. Geophysics, 83(5), S459-S476.

  15. Wang, Y., Zhou, H., Zu, S., Mao, W., & Chen, Y. (2017). Three-Operator Proximal Splitting Scheme for 3-D Seismic Data Reconstruction. IEEE Geoscience and Remote Sensing Letters, 14(10), 1830-1834. [pdf] [cite]

  16. Xia, M, Zhou, H, Li, Q., Chen, H, Wang, Y., & Wang, S.(2017). A General 3D Lattice Spring Model for Modeling Elastic Waves. Bulletin of the Seismological Society of America, 107(5), 2194-2212.

  17. Chen, H., Zhou, H., Li, Q., & Wang, Y. (2016). Two efficient modeling schemes for fractional laplacian viscoacoustic wave equation. Geophysics, 81(5), T233-T249. [pdf] [cite]

会议摘要

  1. Wang, Y., & Jerry M. Harris (2020). Seismic attenuation models: multiple and fractional generalizations. Abstract presented at 2020 SEG Annual Meeting, Houston, TX, USA.

  2. Wang, Y., Li, D., & Jerry M. Harris (2019). A generalized stabilization scheme for seismic Q compensation. Abstract presented at 2019 SEG Annual Meeting, San Antonio, TX, USA.

  3. Wang, Y., Zhou, H., Li, Q., Zhao, X. & Zhao, X. (2017). Regularized Q-RTM using time-variant filtering in the k-space. Abstract presented at 2017 EAGE Annual Meeting, Paris, France.

  4. Wang, Y., Zhou, H., Zhao, X., Zhang, Q, & An, Y. (2017). Wavefield reconstruction in attenuating media using time-reversal checkpointing and k-space filtering. Abstract presented at 2017 EAGE Annual Meeting, Paris, France.

  5. Wang, Y., Zhou, H., Zhao, X., Xia, M., An, Y. & Cai, X. (2017). The k-space Green‘s functions for decoupled constant-Q wave equation and its adjoint equation. Abstract presented at 2017 EAGE Annual Meeting, Paris, France.

  6. Wang, Y., Zhou, H., Li, Q., Chen, H., Gan, S., & Chen, Y.(2015). An unsplit convolutional perfectly matched layer for visco-acoustic wave equation with fractional time derivatives. Abstract presented at 2015 SEG Annual Meeting, New Orleans, LA, USA.

  7. Wang, N., Zhou, H., Chen, H., Wang, Y., Yu, B., & Zhou, Z. (2017). Modelling Viscoelastic Waves Using Constant Fractional-order Spatial Derivatives. Abstract presented at 2017 EAGE Annual Meeting, Paris, France.

  8. Zhao, X., Zhou, H., Li, Q., & Wang, Y. (2017). A Method to Avoid the Snapshots Wavefields Storage in Reverse Time Migration. Abstract presented at 2017 EAGE Annual Meeting, Paris, France.

  9. Wang, N., Zhou, H., Chen, H., Wang, Y., & Fang, J. (2018). High-order Time Accuracy Fractional Laplacian Viscoacoustic Simulation Scheme Using Nonstandard Pseudospectral Method. Abstract presented at 2018 EAGE Annual Meeting, Copenhagen, Denmark.

  10. Wang, L., Zhou, H., Wang, Y., Yu, B., & Long, T. (2018). Elastic-impedance inversion based on \(L_{1−2}\) minimization. Abstract presented at 2018 SEG Annual Meeting, Anaheim, CA, USA.

学术报告

  1. Adaptive stabilization scheme for Q-compensated RTM. 第三届“国际青年学者地大论坛”, 武汉. 2019.03.26

  2. King Mountain crosswell data imaging with explicitly stabilized Q compensation. SWP Seminars, Stanford, CA. Jun. 06, 2019.

  3. Physics-informed neural networks for seismic modeling and inversion. SWP Seminars, Stanford, CA. May. 14, 2019.

  4. Explicit stabilization for Q-RTM: a field data example. SWP Seminars, Stanford, CA. Apr. 16, 2019.

  5. Seismic attenuation models: multiple and fractional generalizations. SWP Seminars, Stanford, CA. Mar. 5, 2019. [slides]

  6. A generalized stabilization scheme for seismic Q compensation. SWP Seminars, Stanford, CA. Jan. 29, 2019.

  7. Seismic attenuation compensation via inversion and imaging. SWP Seminars, Stanford, CA. Nov. 30, 2018. [slides]

  8. An overview of fractional attenuation models in exploration geophysics. SWP Seminars, Stanford, CA. Nov. 06, 2018. [slides]

  9. 基于 \(L_{1−2}\) 范数约束的地震反褶积方法，第二届“油气地球物理学术年会”, 青岛. 2018.07.12

  10. My Journey on Madagascar and Reproducible Research – CuQ-RTM: A CUDA-based open-source package for stable and efficient Q-compensated RTM. 2017 Madagascar School in Shanghai, Shanghai, China. Jul. 11, 2017.

开源程序

  • cuQ-RTM is a CUDA-based code package that implements Q-RTM based on a set of stable and efficient strategies, such as streamed CUFFT, checkpointing-assisted time-reversal reconstruction (CATRC) and adaptive stabilization scheme. This package is provided for accelerating conventional CPU-based Q-RTM, and mimicking how a geophysicist writes down a seismic processing modules such as modeling, imaging and inversion in the framework of the CPU-GPU heterogeneous computing platform.