All Stories

  1. Full-waveform inversion using deviated well distributed acoustic sensing vertical seismic profiling data: A case study
  2. Deep-learning-based global feature capture for seismic data reconstruction
  3. Can Deep-Learning Compensate the Sparse Shots in Imaging Domain? A Potential Alternative for Reducing the Acquisition-Cost of Seismic Data
  4. Multi-stage Residual Network for Intense DAS Background Noise Attenuation
  5. Simultaneous Denoising and Reconstruction of DAS Seismic Data via a Multi-Cascade Deep Learning Method
  6. Seismic velocity inversion transformer
  7. Building adjoint operators for least-squares migration using the acoustic wave equation
  8. Multi-scale Recurrent-guided Denoising Network for DAS-VSP Background Noise Attenuation
  9. Continuous denoising level adjustment of seismic data through filter modification
  10. Residual moveout in angle gathers for converted waves
  11. Migration using sea surface-related multiples: Challenges and opportunities
  12. Addressing the crosstalk issue in imaging using seismic multiple wavefields