All Stories

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