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physics.geo-ph2025
3-D Magnetotelluric Deep Learning Inversion Guided by Pseudo-Physical Information
Peifan Jiang, Xuben Wang, Shuang Wang +4
Magnetotelluric deep learning (DL) inversion methods based on joint data-driven and physics-driven have become a hot topic in recent years. When mapping observation data (or forwar…
physics.geo-ph2025
SeisRDT: Latent Diffusion Model Based On Representation Learning For Seismic Data Interpolation And Reconstruction
Shuang Wang, Fei Deng, Peifan Jiang +2
Due to limitations such as geographic, physical, or economic factors, collected seismic data often have missing traces. Traditional seismic data reconstruction methods face the cha…