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主要从事地球物理数据的分析与处理，包括地震数据高分辨率处理、插值重建横向连续性增强及参数反演方法研究，及先验约束的深度学习地球物理应用，取得了多项创新性研究成果，以第一/通讯作者发表SCI论文40余篇，获傅承义青年科技奖、刘光鼎地球物理青年科技奖，入选青年人才托举工程及国家高层次青年人才计划。
1） 中国石油科技创新基金研究项目：“基于深度学习的多属性约束储层参数反演方法研究”
2） 自然科学基金面上项目：“地震信号衰减特性分析及鲁棒Q值估计多道衰减补偿方法研究”
3） 企业委托项目“基于深度学习的地震资料预处理与AVO属性提取技术”
4） 企业委托项目“基于深度学习的混叠数据分离方法研究”
5）自然科学基金青年基金项目：“抗噪、抗假频叠前地震数据插值方法研究”（41604096）
6）博士后基金面上项目：“基于稀疏变换的复杂数据高效插值去噪一体化方法研究”（2016M590102）
1. Ren Luo, Huaizhen Chen, Benfeng Wang*, 2023, Semi-supervised seismic impedance inversionbased on data augmentation and uncertainty analysis. Geophysics, 88(4): M213-M224.
2. Ren Luo, Ying Yin, Huaizhen Chen*, Benfeng Wang*, 2023, Attenuationcompensation and Q estimation of nonstationary data using semi-supervisedlearning. IEEE Geoscience and Remote Sensing Letters, 20: 3001205.
3. BenfengWang*, Xinyi Chen, Jiakuo Li, JianwenSong, 2023 High dimensional multi-step deblending using supervised training andtransfer learning, Geophysics, 88(1):WA149-WA159.
4. Tongtong Mo, Benfeng Wang*, 2022, An Aliasing-Free Low-Frequency Pre-TrainedModel for Seismic Interpolation using a Small Training Set, IEEE Transactions on Geoscience and RemoteSensing,60: 4513411.
5. Benfeng Wang*, Jiakuo Li, Dong Han, Jiawen Song, 2022, Deblendingand recovery of incomplete blended data via MultiResUnet, Surveys in Geophysics, 43(6): 1901-1927.
6. Jie Wang, Benfeng Wang*, 2022, Separation and reconstruction of non-uniformsimultaneous source data via a robust and sparse Radon transform, IEEEGeoscience and Remote Sensing Letters, 19, 3007805.
7. Dong Han, Benfeng Wang*, Jiakuo Li, 2022, Consistent convolution kerneldesign for missing shots interpolation using an improved U-net, GeophysicalProspecting. 70(7), 1193-1211.
8. Benfeng Wang*, Jianhua Geng and Jiawen Song, Deblending ofoff-the-grid blended data via an interpolator based on compressive sensing, IEEE Transactionson Geoscience and Remote Sensing, 60, 4509608.
9. Benfeng Wang*, Dong Han, Jiakuo Li, 2022, Missing shotsand near-offset reconstruction of marine seismic data with towered streamersvia self-supervised deep learning, IEEE Transactions on Geoscience and RemoteSensing, 60, 4509209.
10. Benfeng Wang*, Jiakuo Li, Dong Han, 2022, Iterativedeblending using MultiResUNet with multi-level blending noise for training andtransfer learning, Geophysics, 87(3):V205-V214.
11. 王本锋*，韩东，李家阔，2022，基于扩张卷积的智能化规则炮缺失插值重建方法，地球物理学报，65(6): 2226-2243.
12. Wang B.*, Wang J., Li j. and Guo Z., 2022, IterativeAccurate Seismic Data Deblending by ASB-Based Robust Sparse Radon Transform,IEEE Transactions on Geoscience and Remote Sensing. 60: 5902309.
13. Wang B.*, Li J., Wang P., Si W. and Wang Z., 2022, Visco-acousticfull waveform inversion using decoupled fractional Laplacianconstant-Q wave equation and optimal transport-based misfit function,Exploration Geophysics, 53 (2): 140-150.
14. Wang B.*, Han D., Yuan C. and Zhang H., 2022. Simultaneous interpolation anddeblending of 3D seismic data by iterative thresholding, IEEE Geoscience andRemote Sensing Letters, 19: 7500705.
15. Wang B.*, Li J., Luo J., Wang Y. and Geng J., 2021. Intelligentdeblending of seismic data based on U-net and transfer learning, IEEE Transactions on Geoscience and Remote Sensing. 59(10):8885-8894.
16. Wang B.*, Yin Y., Yuan C. and Wang P., 2021. An amplitudeand frequency preserving S transform, IEEE Geoscience and Remote SensingLetters, 18(7):1154-1158.
17. Wang B.*,and Geng J., 2020. Efficientdeblending in the PFK domain based on compressive sensing, IEEE Transactions onGeoscience and Remote Sensing, 58(2): 995-1003.
18. WangB.*, Zhang N., Lu W., Geng J. and Huang X.,2020, Intelligent missing shots reconstruction by using the spatial reciprocityof the Green function based on deep learning: IEEE Transactions on Geoscience and Remote Sensing. 58(3):1587-1597.
19. WangB., Zhang Y., Lu W.*, and Geng J., 2019. ARobust and Efficient Sparse Time-Invariant Radon Transform in the MixedTime-frequency domain, IEEE Transactions on Geoscience and Remote Sensing,57(10): 7558-7566.
20. WangB.*, Zhang N.,Lu W., Wang J., 2019, Deep-learning-based seismic data interpolation: Apreliminary result: Geophysics.84(1), V11-V20.
21. WangB., Zhang Y.,Lu W.*, Xu P., 2019, Automatic detection and removal of external sourceinterference noise using a designed time-invariant hyperbolic Radon transform: Journal of Geophysics and Engineering. 16(3):585-598.
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