1.国家自然科学基金委员会, 青年项目, 42304126, 噪声模型驱动下低信噪比特征蒸馏的DAS多态噪声消减方法, 2024-01-01 至 2026-12-31, 在研, 负责人 2.中国博士后科学基金会，中国博士后科学基金第17批特别资助，2024T170322, 时空特征动态关联的多层级DAS 随机态噪声建模研究, 负责人 3.中国博士后科学基金会，第74批面上资助，2023M741327，面向DAS多类型噪声消减的高-低信噪比特征蒸馏模型，负责人 4.吉林省科学技术厅，人才专项-青年人才类，20240602116RC，面向吉林省DAS地震勘探低信噪比数据的有效信号特征蒸馏与重建模型，在研，负责人 5.国家自然科学基金委员会，面上项目，41974143，基于深度学习的DAS地震勘探数据智能去噪研究，骨干成员 6.国家自然科学基金委员会，重点项目，41730422，沙漠地震勘探四维非均匀波特性随机噪声数理表征及其非线性降维消噪系统，骨干成员 7.国家自然科学基金委员会，重点项目，42230805，基于井中DAS的地质-地球物理解析理论与方法研究，骨干成员 |
论文： 1.Feng, Q., Wang, S., & Li, Y. (2024). Analysis of DAS seismic noise generation and elimination process based on mean-SDE diffusion model. IEEE Transactions on Geoscience and Remote Sensing, 62, 1-13. 2.Feng, Q., Wang, S., & Li, Y. (2024). Efficient signal-to-noise ratio enhancement model for severely contaminated distributed acoustic sensing seismic data based on heterogeneous knowledge distillation. Geophysics, 89(3), V197-V208. 3.Feng, Q., Wang, S., & Li, Y. (2023). Less data-dependent seismic noise suppression method based on transfer learning with attention mechanism. IEEE Transactions on Geoscience and Remote Sensing, 61, 1-1. 4.Feng, Q., & Li, Y. (2022). Denoising deep learning network based on singular spectrum analysis-DAS seismic data denoising with multichannel SVDDCNN. IEEE Transactions on Geoscience and Remote Sensing, 60, 1-11. 5.F. Q., Li Yue, L. Y., & Wang Hongzhou, W. H. (2021). Intelligent random noise modeling by the improved variational autoencoding method and its application to data augmentation. Geophysics, 86(1), T19-T31. 6.Feng, Q., Li, Y., & Yang, B. (2020). Modeling land seismic exploration random noise in a weakly heterogeneous medium and the application to the training set. IEEE Geoscience and Remote Sensing Letters, 17(4), 701-705. 7.Feng, Q., & Li, Y. (2022). Transform learning in the synchrosqueezing frequency domain—A novel denoising strategy for optical fiber seismic records. Journal of Applied Geophysics, 201, 104648. 8.Feng, Q., Li, Y., & Yang, B. (2021). Modelling the seismic exploration random noise based on the perturbation method and its application. Exploration Geophysics (Melbourne), 52(1), 54-67. 9.Li, J., Xiong, P., Li, Y., & Feng, Q（通讯作者）. (2024). DAS noise suppression network based on distributing-local-attention expansion. IEEE Geoscience and Remote Sensing Letters, 21, 1-5. 10.Li, J., Chen, Y., Li, Y., & Feng, Q（通讯作者）. (2024). DAS seismic signal recovery with non-uniform noise based on high-low level feature fusion model. Journal of Applied Geophysics, 229, 105481. 专利： 1.基于噪声建模分析的沙漠地震勘探随机噪声消减方法，专利号：CN109991664A |
