All Stories

  1. Noise Attenuation in Distributed Acoustic Sensing Data Using a Guided Unsupervised Deep Learning Network
  2. Unsupervised deep-learning framework for 5D seismic denoising and interpolation
  3. Imaging point diffractors using a low-rank approximation method
  4. Enhancing earthquake detection from distributed acoustic sensing data by coherency measure and moving-rank-reduction filtering
  5. Deep-learning missing well-log prediction via long short-term memory network with attention-period mechanism
  6. Unsupervised deep learning for 3D interpolation of highly incomplete data
  7. Denoising of distributed acoustic sensing data using supervised deep learning
  8. Porosity and permeability prediction using transformer and periodic long short-term network
  9. An explicit stabilization scheme for Q-compensated reverse time migration
  10. A Matlab code package for 2D/3D local slope estimation and structural filtering
  11. Retrieving the leaked signals from noise using a fast dictionary-learning method
  12. Uncovering the microseismic signals from noisy data for high-fidelity 3D source-location imaging using deep learning
  13. A fully unsupervised and highly generalized deep learning approach for random noise suppression
  14. Automatic waveform-based source-location imaging using deep learning extracted microseismic signals
  15. Deep denoising autoencoder for seismic random noise attenuation