All Stories

  1. A Multi-task Deep Learning Model for the Denoising, Interpolation, and Wavefield Separation of DAS-VSP Data
  2. Self-Supervised Diffusion Model for 3D Seismic Data Reconstruction
  3. Audio-frequency magnetotelluric data inversion method based on an adaptive binary structure constraint and its application in geothermal exploration
  4. Seismic data reconstruction based on a multicascade self-guided network
  5. Can Deep-Learning Compensate the Sparse Shots in Imaging Domain? A Potential Alternative for Reducing the Acquisition-Cost of Seismic Data
  6. Multi-stage Residual Network for Intense DAS Background Noise Attenuation
  7. Simultaneous Denoising and Reconstruction of DAS Seismic Data via a Multi-Cascade Deep Learning Method
  8. Seismic velocity inversion transformer
  9. Building adjoint operators for least-squares migration using the acoustic wave equation
  10. Multi-scale Recurrent-guided Denoising Network for DAS-VSP Background Noise Attenuation
  11. Continuous denoising level adjustment of seismic data through filter modification
  12. Signal-to-noise ratio enhancement for 3C downhole microseismic data based on the 3D shearlet transform and improved back-propagation neural networks